<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.110361.3</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Malaria prevalence in Commune 5 in Tumaco (Nari&#x00f1;o, Colombia)</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 3; peer review: 1 approved, 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Chaparro Narv&#x00e1;ez</surname>
                        <given-names>Pablo Enrique</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2498-4721</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Jimenez-Serna</surname>
                        <given-names>Monica Marcela</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gunturiz Albarracin</surname>
                        <given-names>Maria Luz</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Carrasquilla Gutierrez</surname>
                        <given-names>Gabriel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9449-4931</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Observatorio Nacional de Salud, Instituto Nacional de Salud, Bogot&#x00e1;, 111321, Colombia</aff>
                <aff id="a2">
                    <label>2</label>Fundaci&#x00f3;n Santa Fe de Bogot&#x00e1;, Bogot&#x00e1;, 110111, Colombia</aff>
                <aff id="a3">
                    <label>3</label>Direcci&#x00f3;n de Investigaci&#x00f3;n en Salud P&#x00fa;blica, Instituto Nacional de Salud, Bogot&#x00e1;, 111321, Colombia</aff>
                <aff id="a4">
                    <label>4</label>Fundacion Santa Fe de Bogot&#x00e1;, Bogot&#x00e1;, 110111, Colombia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:pchaparro@ins.gov.co">pchaparro@ins.gov.co</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>448</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>11</day>
                    <month>5</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Chaparro Narv&#x00e1;ez PE et al.</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-448/pdf"/>
            <abstract>
                <p>
                    <italic toggle="yes">Background</italic>
                </p>
                <p>Urban malaria is a public health problem in Colombia and there is still lack of knowledge about its epidemiological characteristics, which are key to the implementation of control measures. The presence of urban malaria cases and disease diagnosis are some of the challenges faced by malaria elimination programs. The objective of this research was to estimate malaria prevalence, explore associated factors and detect 
                    <italic toggle="yes">pfhrp</italic>
                    <italic toggle="yes">2/3</italic> genes, in the urban area of Tumaco between July and December 2019.</p>
                <p>
                    <italic toggle="yes">Methods</italic>
                </p>
                <p>A prevalence study was conducted by using a stratified random probability sample. Structured surveys were administered and blood samples were taken and examined through optical microscopy, rapid diagnostic tests (RDT) and polymerase chain reaction (PCR). A logistic regression model was used to explore associated factors.</p>
                <p>
                    <italic toggle="yes">Results</italic>
                </p>
                <p>1,504 people living in 526 households were surveyed. The overall prevalence was 2.97% (95% CI: 2.1 - 4.3%). It was higher in males, in the 10-19 age group and in asymptomatic cases. The prevalence of 
                    <italic toggle="yes">pfhrp2</italic> amplification was 2.16% (95% CI: 1.6 - 2.9%). Households with three or more people had a higher risk of malaria infection (adjusted odds ratio (ORa) 4.05; 95% confidence interval (CI) 1.57-10.43). All cases were due to 
                    <italic toggle="yes">P.</italic>
                    <italic toggle="yes">falciparum.</italic>
                </p>
                <p>
                    <italic toggle="yes">Conclusions</italic>
                </p>
                <p>The prevalence of urban malaria was low. Strategies to eliminate malaria in urban areas should be adjusted considering access to early diagnosis, asymptomatic infection, and the RDTs used to detect the presence of the 
                    <italic toggle="yes">pfhrp2</italic> gene.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>prevalence</kwd>
                <kwd>diagnosis</kwd>
                <kwd>chromosome deletion</kwd>
                <kwd>urban malaria</kwd>
                <kwd>Colombia</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Ministerio de Ciencia Tecnolog&#x00ed;a e Innovaci&#x00f3;n de Colombia</funding-source>
                    <award-id>Project.Code:622177757170</award-id>
                </award-group>
                <funding-statement>This study was funded by Minciencias &#x201c;Malaria Elimination: A Challenge for Colombia&#x201d; Project. Code: 622177757170.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 2</title>
                <p>The changes indicated by the peer reviewers were incorporated into the most recent version of the article. We correct the minor English and taxonomic errors on pages 6, 9, 15, 16, 19 In methods: The necessary reference is provided. Since "whole blood collection" was not mentioned in the document, we eliminated it. The redundant paragraph was cut. In discussion: To discuss each finding (negative RDT with positive PCR, etc.), we separate the results of the RDT, thick smear, and PCR tests.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Malaria elimination programs face several challenges, including urban malaria and disease diagnosis. Both in Colombia and worldwide, malaria transmission is mainly rural, but cases of malaria in urban and peri-urban areas have been continuously reported over the last decade, most of them in the Pacific region.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> These problems are compounded by the diagnosis of asymptomatic and submicroscopic malaria.</p>
            <p>Despite the fight against malaria, the World Health Organization (WHO) observed an increase in cases worldwide, increasing from 227 million in 2019 to 241 million in 2020 in the 85 countries where the disease is endemic. Similarly, in terms of mortality, 558,000 deaths were registered in 2019 and 627,000 in 2020. However, in the Americas region, the WHO reported a reduction in cases, from an estimated 893,000 in 2019 to 652,000 in 2020, 77% of them in Venezuela, Brazil and Colombia. Meanwhile, there was a reduction in deaths, from 509 in 2019 to 409 in 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>It is worth mentioning that 91% of the Colombian territory has eco-epidemiological conditions that promote malaria transmission and it is estimated that 22% of the population lives in these areas. In 2020, 81,363 cases were registered (annual parasite index (API) 8.4 cases per 1,000 inhabitants) and 5 deaths were confirmed in the country. The predominant parasites were 
                <italic toggle="yes">Plasmodium vivax</italic> (49.7%) and 
                <italic toggle="yes">Plasmodium falciparum</italic> (49.5%).
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> On the Pacific coast, in the department of Nari&#x00f1;o, where Tumaco is located, 17,421 cases were reported (API 31.9 cases per 1,000 inhabitants).
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> According to the Vector-Borne Disease Prevention and Control Program, cases of urban malaria have been identified mainly in the neighborhoods that are part of Commune 5 in Tumaco, where 1,024 cases were reported in 2015 (API 42.2 per 1,000 inhabitants) and 770 in 2016 (API 31.7 per 1,000 inhabitants).</p>
            <p>In Colombia, the strategic action route for comprehensive care, health promotion, prevention, surveillance, control and elimination of malaria has been based on the &#x201c;2019-2022 National Malaria Strategic Plan&#x201d; which, among other aspects, includes disease diagnosis through the use of optical microscopy and rapid diagnostic tests (RDTs), and the elimination of urban and peri-urban malaria in 18 municipalities on the Pacific coast.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>Optical microscopy can detect from 50 to 100 parasites/&#x03bc;L but it can lead to diagnostic errors when parasitemia is low.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> The purpose of RDTs is to detect one of three antigens in parasites: lactate dehydrogenase (LDH), aldolase, and histidine-rich protein 2 (hrp2), with significant differences from each other.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> The detection limit for RDTs is between 100-200 parasites/&#x03bc;L.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> It should be noted that 
                <italic toggle="yes">hrp2</italic> is specific for 
                <italic toggle="yes">P. falciparum</italic> and that 
                <italic toggle="yes">pfhrp2</italic>-based RDTs often detect the 
                <italic toggle="yes">pfhrp3</italic> antigen, rendering test interpretation difficult.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Test performance may be affected by the antigenic variability of the target protein, the persistence of the antigen in blood after parasite elimination, and parasite density below the detection threshold. The presence of parasites with deletions or mutations of the 
                <italic toggle="yes">pfhrp2</italic> gene can lead to false-negative results, which has implications for RDT implementation, case diagnosis and treatment, and malaria control and elimination efforts.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>To overcome the limitations of optical microscopy and RDTs, molecular detection of malaria parasites through the polymerase chain reaction (PCR) was used, as it can detect parasitemia below 0.05 &#x03bc;L.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> On the other hand, PCR provides better information on the prevalence and distribution of parasitic species in endemic areas compared to that provided by optical microscopy and RDT.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> PCR is a more sensitive diagnostic method to detect asymptomatic infections with very low parasite density. It may be useful in studies of submicroscopic infections, although its utility depends on the epidemiological importance of low-density infections, which have not yet been characterized.
                <xref ref-type="bibr" rid="ref12">
                    <sup>12</sup>
                </xref>
            </p>
            <p>Regarding urban malaria, there are challenges in terms of what is meant by &#x201c;urban&#x201d;, &#x201c;peri-urban&#x201d;, and &#x201c;rural&#x201d;, because of the lack of established definitions to describe the socioeconomic and ecological contexts where the disease is transmitted.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> This situation is compounded by the failure to establish the origin of malaria cases, to identify mosquito breeding sites, and to confirm the vector's transmission capacity in these environments.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Despite these difficulties, it has been established that urban and peri-urban malaria may be transmitted by population traveling from rural to urban and peri-urban areas.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Local transmission has also been suggested in urban areas where the presence of 
                <italic toggle="yes">Anopheles</italic>, as a competent vector, and infected people converge.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> In Latin America, peri-urban transmission has been reported in Brazil (Porto Velho)
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> and Peru (Iquitos, Sullana, Piura y Lima).
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> In Colombia, urban malaria has been identified in municipalities on the Pacific coast, where Tumaco is located. Peri-urban malaria is caused by the displacement of rural populations to peri-urban areas as a result of the armed conflict, presence of paramilitary groups, illicit crops, and illegal mining.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
            </p>
            <p>Most studies conducted in Colombia have addressed the prevalence of malaria in rural areas. Research focused on urban malaria has been scarce, reporting on total prevalence and the prevalence of asymptomatic and submicroscopic infections.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> Also, research aimed at detecting the 
                <italic toggle="yes">pfhrp 2/3</italic> gene deletion has been limited (Guapi 6%).
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Given the limited research on malaria prevalence carried out in the Colombian territory and the detection of 
                <italic toggle="yes">pfhrp 2/3</italic> genes in urban areas, this study was aimed at estimating malaria prevalence, detecting 
                <italic toggle="yes">pfhrp 2/3</italic> genes, and exploring associated factors in the urban area (Commune 5) in Tumaco during 2019.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethics and consent</title>
                <p>This study was approved by the ethics committees of the National Institute of Health (April 4, 2017 Minutes) and Fundaci&#x00f3;n Santa Fe de Bogot&#x00e1; (April 22, 2019 Minutes). Participants&#x2019; written consent was obtained prior to data collection and blood sampling. The research with mosquitoes considered the Colombian scientific, technical, and administrative standards for biomedical research with animals. The mosquitoes were anesthetized with triethylamine before dying.</p>
            </sec>
            <sec id="sec4">
                <title>Study design</title>
                <p>Between July and December 2019, a prevalence study was conducted in Commune 5 of Tumaco, a malaria-endemic urban area. This Colombian municipality is divided into communes and, in turn, each commune is made up of neighborhoods. A stratified (by neighborhoods) multistage random sample with proportional allocation was established. In the first stage, the primary sampling units were the Commune 5 neighborhoods. In the second stage, the secondary sampling units were groups of adjoining blocks. A grid was placed on the map of each selected neighborhood. Each cell included the residential units that make up a block. Sampling was carried out proportional to size, taking into account the number of inhabitants per block. Using the Teaching Sampling package of the statistical package R, the blocks in each of the selected neighborhoods were chosen. In the third stage, in the selected block, the house in the lower-left corner (southwest point) was located with the help of the Global Positioning System (GPS). In this dwelling began the collection of information. Then the selection of the next dwelling to the right or to the left depended on the outcome of a coin toss. Once the address was established, the collection of information continued until completing 12 contiguous houses. The units of analysis and observation were all individuals in the selected households (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Diagram of the study sampling technique.</title>
                        <p>PSU: primary sampling units, SSU: secondary sampling units.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/144551/6516ad85-3f78-4270-9425-c31819dc1e4b_figure1.gif"/>
                </fig>
                <p>To calculate sample size, a prevalence of 4.22% was considered, as reported by the &#x201c;Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department&#x201d; study in 2015. Accuracy was estimated to have a 15.0% expected relative standard error,
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup> 95% confidence, and a 1.5 cluster design effect. Adjusting for a non-response rate of 10%, the final sample size was 1,424 individuals from households in Commune 5.</p>
                <p>Officials from the departmental and municipal Vector-Borne Disease Prevention and Control Program, community leaders, and researchers informed the population of Commune 5 about the study. This ensured community participation in the study.</p>
                <p>The inclusion criteria for the study were: (1) inhabitants of the selected dwelling who voluntarily wish to participate and who at the time of the visit were in the dwelling, (2) minors who have the authorization of the responsible adult or guardian, (3) people who have adequately filled out the informed consent. The exclusion criteria were: (1) people with mental problems unable to sign informed consent and (2) those for whom a blood sample was not possible to obtain.</p>
            </sec>
            <sec id="sec5">
                <title>Study area</title>
                <p>Tumaco is located in southwestern Colombia (1&#x00b0; 48' 24&#x201d; N; 78&#x00b0; 45' 53&#x201d; W), on the Pacific coast, Nari&#x00f1;o Department. It spreads over 3,778 km
                    <sup>2</sup> and the urban area is about 38 km
                    <sup>2</sup>. This area is made up of three islands (El Morro, La Viciosa and Tumaco), which are divided into five communes and 82 neighborhoods
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). The municipality is located 2 meters above sea level and has a warm humid weather. It has an average annual temperature of 26.1&#x00b0;C, a relative humidity of 84.8%, and annual precipitation ranging from 109 to 373 mm
                    <sup>3</sup>. In 2021, its population was estimated at 257,042 inhabitants, out of which 33.7% lived in the urban area.
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup> Its economy is based on the production of African palm, cocoa and coconut and, to a lesser extent, tourism. In the urban area of Tumaco, all five communes are endemic to malaria. In this city, 70% of malaria cases were reported from Commune 5 in the last ten years. Larval habitats correspond to wells, ponds, puddles, and lakes for shrimp farming. Commune 5, with 26,000 inhabitants, is located on the continental area of Tumaco on the low-tide land and nearby estuaries. The presence of 
                    <italic toggle="yes">Anophelines spp.</italic> breeding sites (ponds, puddles, and lakes for shrimp farming) and high density of the population make this commune of high risk of malaria transmission.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Study area in Tumaco (Nari&#x00f1;o, Colombia).</title>
                        <p>Sources: Google Maps: Maps Data: Google. &#x00a9; 2022 INEGI (retrieved on March 10. 2022). Google Earth: Maps Data: Google. &#x00a9; 2020 Maxar Technologies (retrieved on December 13. 2020).</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/144551/6516ad85-3f78-4270-9425-c31819dc1e4b_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec6">
                <title>Data collection</title>
                <p>Two structured questionnaires were designed. The first one included variables related to households characteristics, such as basic services and the presence and use of long-lasting insecticide-treated nets. The second one included sociodemographic variables (age, sex, ethnicity, marital status, occupation, educational level, socioeconomic stratum, belonging to the General Social Security Health System), symptoms, diagnosis and history of malaria. The questionnaires, created on mobile data capture devices (Android phones), were applied face-to-face by previously trained personnel. Interviews were conducted in Spanish. At the end of each study day, data collected were reviewed by the study coordinator, and any quality issues were flagged for immediate correction.</p>
            </sec>
            <sec id="sec7">
                <title>Laboratory procedures</title>
                <p>
                    <italic toggle="yes">Optical microscopy</italic>
                </p>
                <p>Blood samples were taken through finger puncture with a sterile lancet and each sample was then put on a clean film. Blood samples was taken at the household and thick smear was taken to the &#x201c;Vector-Borne Disease&#x201d; (VBD) control program and read by a bacteriologist according to national guidelines.
                    <sup>
                        <xref ref-type="bibr" rid="ref31">31</xref>
                    </sup> Parasitemia was estimated based on a 200-leukocyte count (assuming a standard value of 8,000 leukocytes/&#x03bc;L of blood) and was expressed as parasites/&#x03bc;L (p/&#x03bc;L). The National Institute of Health performed quality control on 10% (153) of the samples. All participants with positive thick blood film received antimalarial treatment according to national guidelines.</p>
                <p>
                    <italic toggle="yes">Rapid diagnostic tests (RDTs)</italic>
                </p>
                <p>For RDTs, a second drop of blood was obtained from the same finger puncture and it was then put in the RDT device, according to the manufacturer's instructions. The RDT used (SD BIOLINE Malaria Ag P.f/P.v) was the one distributed by the National VBD Prevention and Control Program to all municipalities in the country. The same bacteriologists who performed the optical microscopy diagnosis analyzed the RDTs at the household. The National Institute of Health performed quality control on 10% (153) of the RDT devices used.</p>
                <p>
                    <italic toggle="yes">Polymerase chain reaction (PCR)</italic>
                </p>
                <p>For PCR, two drops of blood were obtained from the same finger puncture and were then put on the filter paper. 10 mm 2 of Whatman #3 filter paper impregnated with blood were taken and genomic DNA extraction was performed according to the protocol described below. This procedure was performed in duplicate.</p>
                <p>
                    <italic toggle="yes">Standardization of protocols for genomic DNA extraction from filter paper samples</italic>
                </p>
                <p>The saponin/chelex-100 method was used for DNA extraction. Briefly, a quarter of each dry droplet on filter paper was cut into small pieces and incubated at room temperature with a 0.5% saponin solution diluted in Phosphate buffered saline PBS. Then, the solution was mixed using a vortex and the supernatant was discarded. A wash was done with PBS, and 200 ul of a Chelex-100 solution diluted in water was added, then it was incubated at 56&#x00b0;C for 1 hour and at 100&#x00b0;C for 20 minutes. After incubation, the supernatant was transferred to sterile Eppendorf tubes and stored at -20&#x00b0;C until it was going to be used in the PCRs. gDNA was quantified by using a Nanodrop 2000, obtaining quality between 1.8 and 2.0. Once the gDNA had been extracted, diagnosis was performed through conventional PCR for the amplification of the gene fragments coding for the 
                    <italic toggle="yes">pfhrp2</italic> and 
                    <italic toggle="yes">pfhrp3</italic> proteins and the gene coding for the small subunit of 
                    <italic toggle="yes">Plasmodium vivax</italic>-PvSSU ribosomal RNA. DNA from reference strains was used as positive control. Negative controls without DNA and extraction controls obtained from filter paper without DNA were also included for each of the reactions. For the amplification of the different gene fragments mentioned before, specific primers were designed and PCR conditions were standardized for each of them. Guanine/cytosine (GC) content, dimer formation, loop formation, palindromes and melting temperature (MT) were taken into account for primer design. The sequences of the 
                    <italic toggle="yes">hrp2/hrp3</italic> and PvSSU genes published in Genbank were used, an alignment was performed by using clustalW (Refseq), and primers were designed from conserved regions of the sequences obtained.</p>
                <p>PCR products were fractionated on 1.8% agarose gels stained with ethidium bromide, using a 100 bp molecular weight marker (Promega) as reference. The amplified products were visualized on a UV transilluminator and were purified on 1.8% agarose gels by using the GFX PCR DNA kit and Gel Band purification system (GE Healthcare). The purified products were sequenced by using the oligonucleotides used in the PCR, through the BigDye Terminator v3.1 cycle sequencing kit (Applied Biosystems) and the ABI PRISM 310 genetic analyzer. Sequence editing and analysis was performed through the DNA Sequencing Analysis software version 5.3.1.
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> Sequence comparisons were made by using the blastn tool available at the National Center for Biotechnology Information (NCBI).</p>
                <p>For the amplification of the different fragments of the genes mentioned, we designed the specific primers and the PCR conditions for each of them were standardized. For the design of the primers, the GC content, dimer formation, loop formation, palindromes and Tm were taken into account. The sequences of the HRP2/HRP3 and PvSSU genes published in the Genbank were used, an alignment was performed using clustalW (Refseq) and the primers were designed from conserved regions of the sequences obtained.</p>
                <p>For the PCRs, the Invitrogen&#x2122; DNA polymerase Taq recombinant kit was used (Includes: Taq DNA Polymerase (5 U/&#x03bc;L); 10&#x00d7; PCR buffer (200 mM Tris-HCl pH 8.4, 500 mM KCl); Magnesium Chloride (50 mM). Bio-Rad C1000 Thermal Cycle was used for PCRs. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was used as housekeeping gene. The 
                    <xref ref-type="table" rid="T1">Table 1</xref> shows the standardized amplification conditions for each gene, primers and expected fragment sizes.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Standardized amplification conditions for each gene, primers and expected fragment sizes (PCR: polymerase chain reaction).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gene name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Acronym gene</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Primers</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Expected product size</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">PCR amplification conditions</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gene that codes for histidine-rich protein 2 of 
                                    <italic toggle="yes">Plasmodium falciparum</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">PfHRP2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Pfhrp2-F</bold>
                                    <break/>5&#x00b4;-CAAAAggACTTAATTTAAATAAgAg-3&#x00b4;
                                    <break/>
                                    <bold>Pfhrp2-R</bold>
                                    <break/>5&#x00b4;-AATAAATTTAATggCgTAggCA-3&#x00b4;</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">882 bp</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95&#x00b0;C/5 min
                                    <break/>39 cycles: 95&#x00b0;C/1 min; 55&#x00b0;C/1 min; 72&#x00b0;C/1 min
                                    <break/>72&#x00b0;C/7 min
                                    <break/>12&#x00b0;C/&#x221e;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gene that codes for histidine-rich protein 3 of 
                                    <italic toggle="yes">Plasmodium falciparum</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">PfHRP3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>PfHRP3-F</bold>
                                    <break/>5&#x2032;-AAATAAgAgATTATTACACgAAAg-&#x2032;3
                                    <break/>
                                    <bold>PfHRP3-R</bold>
                                    <break/>5&#x2032;-TGGTgTAAgTGATgCgTAGT-&#x2032;3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">615 bp</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95&#x00b0;C/5 min
                                    <break/>35 cycles: 95&#x00b0;C/1 min; 51&#x00b0;C/1 min; 72&#x00b0;C/1 min
                                    <break/>72&#x00b0;C/7 min
                                    <break/>12&#x00b0;C/&#x221e;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gene that codes for the small ribosomal RNA subunit of 
                                    <italic toggle="yes">Plasmodium vivax</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">PvSSU</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>PvSSU-F</bold>
                                    <break/>5&#x2032;-gTTAAgggAgTgAAgACgATC-&#x2032;3
                                    <break/>
                                    <bold>PvSSU-R</bold>
                                    <break/>5&#x2032;-AACCCAAAgACTTTgATTTCTCA-&#x2032;3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">159 bp</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95&#x00b0;C/5 min
                                    <break/>35 cycles: 95&#x00b0;C/1 min; 50&#x00b0;C/45 sec; 72&#x00b0;C/1 min
                                    <break/>72&#x00b0;C/5 min
                                    <break/>12&#x00b0;C/&#x221e;</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gene that codes for Glyceraldehyde-3-phosphate dehydrogenase</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">GAPDH</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>GAPDH-F</bold>
                                    <break/>5&#x2032;-ATggCAgTAACAAAACT-&#x2032;3
                                    <break/>
                                    <bold>GAPDH-R</bold>
                                    <break/>5&#x2032;-TgAATCgTATTTAAgAgA-&#x2032;3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">389 bp</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95&#x00b0;C/5 min
                                    <break/>35 cycles: 95&#x00b0;C/1 min; 53&#x00b0;C/30 sec; 72&#x00b0;C/1 min
                                    <break/>72&#x00b0;C/7 min
                                    <break/>12&#x00b0;C/&#x221e;</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec8">
                <title>Entomological study</title>
                <p>The entomological study did not use a probabilistic sample. The mosquito collection took place in homes that were included in the prevalence study and whose residents agreed to participate. Between October 1 and 23, 2019, 81 capture points were sampled in 25 homes and 83 breeding places. Mosquitoes were collected through suction tubes and simultaneously with Centers for Disease Control and Prevention (CDC) and Shannon traps at rest (by the research group) and human bait (by the VBD staff) starting at 18:00 hours and ending at 6:00 hours in households in the Obrero neighborhood. Given the presence of illegal armed groups, collection in the Los &#x00c1;ngeles, Candamo, Uni&#x00f3;n Victoria and Ciudadela neighborhoods was authorized between 18:00 and 24:00 hours. From this time and until 6:00 hours, CDC traps were used. In the Once de Noviembre and Nuevo Milenio neighborhoods, permission was not obtained and mosquitoes were collected through traps that were installed between 18:00 and 6:00 hours. Mosquitoes were collected simultaneously inside and outside of selected households.</p>
                <p>The collected mosquitoes were placed in containers labeled with date, neighborhood, house code, time of collection, number of mosquitoes and collector name. Specimens were killed with triethylamine and then individually packed in 1.5 ml vials with perforated caps. They were preserved in airtight bags with silica gel. Specimens of adult and immature mosquitoes were determined by using dichotomous keys for 
                    <italic toggle="yes">Anopheles spp.</italic> in Colombia.
                    <sup>
                        <xref ref-type="bibr" rid="ref34">34</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>
                    </sup>
                </p>
                <p>Also, immature forms were searched in breeding sites within a radius of 1,000 meters around the selected households. Each breeding site was geo-referenced and its physical and environmental characteristics were registered. Sampling was carried out with a standard ladle, ten dips per square meter. Larvae were stored in 120 ml Whirl-Pak plastic bags with ethanol for preservation. Each larvae container was labeled with date, code, larva number, neighborhood and collector name.</p>
            </sec>
            <sec id="sec9">
                <title>Definitions</title>
                <p>This study assumed the definitions of symptomatic malaria, asymptomatic malaria, and submicroscopic malaria. Symptomatic malaria. Individual with positive microscopy/RDT and symptoms of malaria, such as fever, chills, vomiting, convulsions, malaise, headache and/or loss of appetite.</p>
                <p>Asymptomatic malaria. Individual with positive microscopy/RDT or PCR, without symptoms.
                    <sup>
                        <xref ref-type="bibr" rid="ref38">38</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref39">39</xref>
                    </sup>
                </p>
                <p>Submicroscopic malaria. Individual with positive PCR and negative microscopy/RDT. Submicroscopic infections are almost exclusively asymptomatic.
                    <sup>
                        <xref ref-type="bibr" rid="ref39">39</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec10">
                <title>Statistical analysis</title>
                <p>The data were obtained through mobile devices. After quality control, they were exported and analyzed with the Stata
                    <sup>R</sup> version 12 statistical package. For statistical analysis, weights were generated according to strata, expansion factors and design effect, and the complex sample analysis module (svy command) was used. Categorical variables are presented as unweighted counts and weighted proportions with their corresponding 95% confidence intervals (95% CI), and continuous variables are expressed as means with 95% CI. The prevalence of malaria infection was estimated with the corresponding 95% CI. Malaria prevalence was calculated by age group, sex, symptoms and neighborhoods. The exploratory analysis of factors associated with urban malaria and households and urban malaria and individual was performed through logistic regression, first evaluating the relationship between each independent variable with the urban malaria variable. A p&lt;0.05 value was considered statistically significant and those with p&lt;0.05 were selected for the multivariate model.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="results">
            <title>Results</title>
            <sec id="sec12">
                <title>Housing and demographic characteristics</title>
                <p>The total number of respondents was 1,504 people (60.0% female) residing in 526 households in the selected neighborhoods of Commune 5 in Tumaco. The average age of the respondents was 29.75 years (95% CI, 28.75 to 31.22).</p>
                <p>Household characteristics are included in 
                    <xref ref-type="table" rid="T2">Table 2</xref>. More than half of the households' exterior walls were made of brick. More than two thirds had water service, while access to sewage service was scarce. Malaria was detected in 7.3% of households.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Household characteristics.</title>
                        <p>Tumaco, July to December 2019.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="4" valign="bottom">Characteristics</th>
                                <th align="left" colspan="4" rowspan="1" valign="top">Total</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Unweighted count</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Weighted count</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">n</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">(%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Exterior wall material</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wattle and daub</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Brick</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">294</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Wood</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">156</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Others</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>The household has</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Windows</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">484</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">92.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">88.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Electricity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">522</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">97.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gas</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">510</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">96.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">97.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Water</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">405</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">72.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">79.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sewage</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Garbage collection</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">479</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">91.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">85.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Number of people living in the household</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1 and 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">276</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 or more</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">250</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Rooms where people sleep</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1 and 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">301</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">57.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 or more</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">225</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Socioeconomic stratum</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">525</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">98.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Inhabited days per week</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">7 days</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">522</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">96.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;7 days</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Households where people use a protective net while sleeping</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">515</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">98.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">95.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Households with malaria cases</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.5</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>Respondents' characteristics are shown in 
                    <xref ref-type="table" rid="T3">Table 3</xref>. There was higher participation of women and individuals between 20 and 49 years old. The majority were of African descent (95.2%). Nearly half of the individuals had lived in the households for over ten years (47%). Two-fifths of the respondents had high school education. One-third were workers and one-fourth were engaged in household activities. The family income for four-fifths of the participants was less than the minimum wage for one person. In the last year, 0.67% of the participants reported they had had malaria.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>Characteristics of the surveyed population.</title>
                        <p>Tumaco, July to December 2019.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="3" valign="bottom">Characteristics</th>
                                <th align="left" colspan="4" rowspan="1" valign="top">Total</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Unweighted count</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Weighted count</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Age groups</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0-9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">272</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10-19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">318</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20-49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">626</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">38.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">43.15</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">288</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">21.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Sex</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">531</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">35.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">33.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">37.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">973</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">64.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">66.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Ethnic group</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Black, African descent</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,439</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">95.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">91.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Others</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">65</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Years living in the house</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 to 4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">373</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.60</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5 to 9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">397</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">29.9</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10 or more</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">714</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">47.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">42.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No information</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.3</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Educational level
                                        <xref ref-type="table-fn" rid="tfn1">
                                            <sup>*</sup>
                                        </xref>
                                    </bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Preschool, primary</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">555</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">40.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">37.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44.55</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">High school</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">628</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">45.79</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">42.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">48.73</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">University</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">113</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11.24</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">None</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.77</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Civil status
                                        <xref ref-type="table-fn" rid="tfn2">
                                            <sup>**</sup>
                                        </xref>
                                    </bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Has a partner</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">585</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">52.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">49.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">56.45</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No partner</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">526</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">47.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">43.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50.92</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Occupation</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Worker</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">450</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">34.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Housework</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">399</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">24.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Early childhood</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">158</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Childhood</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">178</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adolescence</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">218</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Unemployed</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.29</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pensioner</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.34</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Family income</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;1 MLW (Monthly Legal Wage)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,219</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">79.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">84.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 or more MLW</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">281</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Does not know</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.30</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Malaria in the last year</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.67</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.40</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>
                                    <sup>*</sup>
                                </label>
                                <p>In the &#x201c;Educational level&#x201d; variable, 136 children under 5 years of age were excluded.</p>
                            </fn>
                            <fn id="tfn2">
                                <label>
                                    <sup>**</sup>
                                </label>
                                <p>In the &#x201c;Civil status&#x201d; variable, 393 children under 14 years of age were excluded.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec13">
                <title>Prevalence of malaria</title>
                <p>The prevalence was established from 1,504 microscopic examinations, 1,504 rapid diagnostic tests, and 1,504 PCR.</p>
                <p>The total prevalence of malaria was 2.97% (95% CI: 2.1-4.3%). The prevalence obtained through microscopy/RDT was 0.81%, and through PCR was 2.16%. All cases were due to 
                    <italic toggle="yes">P. falciparum.</italic> The highest prevalence of infection was found in the Candamo neighborhood. Most infections were asymptomatic and submicroscopic (
                    <xref ref-type="table" rid="T4">Tables 4</xref>, 
                    <xref ref-type="table" rid="T5">5</xref>).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Estimated prevalence of malaria.</title>
                        <p>Tumaco, July to December 2019.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top"/>
                                <th align="left" colspan="1" rowspan="2" valign="top">Total surveys</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Unweighted count</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Prevalence (%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Standard error (%)</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Microscopy</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Rapid Test</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.24</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.61</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.29</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">PCR</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,492</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Sex</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">531</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">973</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Age (years)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0-9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">272</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.13</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10-19</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">318</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.34</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20-49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">626</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">288</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.90</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Symptoms</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Microscopy/RDT</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">With symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.27</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Without symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.73</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.13</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>PCR</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">With symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,492</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Without symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,492</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,492</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Microscopy/RDT/PCR</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">With symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Without symptoms</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.37</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,504</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="7" rowspan="1" valign="middle">
                                    <bold>Neighborhood</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Once de Noviembre</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">159</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.93</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Obrero</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">147</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.25</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.82</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ciudadela</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">336</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.93</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.19</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Uni&#x00f3;n Victoria</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">145</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.63</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Nuevo Milenio</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">487</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.52</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Los &#x00c1;ngeles</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">159</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.89</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Candamo</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">71</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">96.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.81</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>Table 5. </label>
                    <caption>
                        <title>Test results according to symptoms.</title>
                        <p> Unweighted count. Commune 5 neighborhoods, Tumaco (Nari&#x00f1;o, Colombia). October 2019.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Test</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Symptoms</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Total</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Yes</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">No</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Optical microscopy (RDT)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6 (5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5 (3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11 (8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">PCR</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>In parentheses, the cases diagnosed with RDT.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>The symptoms expressed by individuals who tested positive for malaria at the time of the survey were: fever (26.7%, 95% CI 9.9% - 54.7%), shivers (26.7%, 95% CI 9.9% - 54.7%), headache (24.0%, 95% CI 8.1% - 52.9%), diaphoresis (19.2%, 95% CI 5.0% - 51.8%), limb pain (24.3%, 95% CI 7.9% - 54.5%), and weakness (24.3%, 95% CI 7.9% - 54.5%). The mean parasite count of individuals who tested positive for malaria through optical microscopy was 653.5 parasites/&#x03bc;L (95% CI 101.5 to 1,205.5).</p>
                <p>Ten individuals had malaria in the last year. Of them, none had malaria in the last month. They also did not have positive test results for malaria in the last 15 days, and they had not consumed antimalarial drugs.</p>
                <p>Quality control performed by the National Institute of Health on the samples analyzed through optical microscopy and RDT indicated a 100% positivity rate concordance and 100% negativity rate concordance.</p>
            </sec>
            <sec id="sec14">
                <title>PCR</title>
                <p>Out of the 1,504 blood samples collected, 1,492 were examined through PCR because some samples had very small amounts of blood. The prevalence of amplification of the 
                    <italic toggle="yes">pfhrp2</italic> gene was 2.16% (95% CI: 1.58% - 2.94%), and for the 
                    <italic toggle="yes">pfhrp3</italic> gene and the 
                    <italic toggle="yes">PvSSU</italic> gene it was 0. In the fragment sequences of the gene coding for 
                    <italic toggle="yes">pfhrp2</italic>, no polymorphisms were found when compared to the sequences reported in GenBank. We do not have many photographs of uncut gels available. The positive samples were obtained in different assays; there is not a gel with the amplification of all the positive samples.</p>
            </sec>
            <sec id="sec15">
                <title>Entomological study</title>
                <p>The entomological study was conducted in 25 households in the Obrero, Los &#x00c1;ngeles, Candamo, Uni&#x00f3;n Victoria, Ciudadela, Nuevo Milenio and Once de Noviembre neighborhoods. The presence of immature and adult 
                    <italic toggle="yes">Anopheles spp.</italic> mosquitoes was registered.</p>
                <p>37 
                    <italic toggle="yes">Anopheles spp.</italic> mosquitoes belonging to the 
                    <italic toggle="yes">albimanus</italic> species were collected. The highest number of mosquitoes was identified in the Los &#x00c1;ngeles and Candamo neighborhoods. No malaria vector mosquitoes were identified in the Nuevo Milenio and Once de Noviembre neighborhoods. Between 18:00 and 19:00 hours, the highest activity occurred in the peri-domestic area, with a 0.018 human-biting rate (HBR) per hour and indoor between 21:00 and 22:00 hours, with a 0.007 HBR (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). The average human biting rate (HBR) at night was 0.74 and the HBR was 0.06 for all studied areas.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Indoor and Peri-Domestic Human-Biting Rate (HBR).</title>
                        <p>Commune 5 neighborhoods, Tumaco (Nari&#x00f1;o, Colombia). October 2019.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/144551/6516ad85-3f78-4270-9425-c31819dc1e4b_figure3.gif"/>
                </fig>
                <p>83 breeding sites were found. In the Commune 5 neighborhoods of Tumaco, 
                    <italic toggle="yes">An. albimanus</italic> was found in artificial ponds and wells. Out of those, two had 
                    <italic toggle="yes">Anopheles spp.</italic> mosquito larvae, one in the Uni&#x00f3;n Victoria neighborhood and the other one in the Obrero neighborhood. One breeding site was a pond and the other one was a well. 32 larvae were collected in both breeding sites. 27 of them were in late stages (3rd and 4th) and were identified as 
                    <italic toggle="yes">An. albimanus.</italic>
                </p>
            </sec>
            <sec id="sec16">
                <title>Related factors</title>
                <p>The exploration of associated factors in households where malaria infections occurred is shown in 
                    <xref ref-type="table" rid="T6">Table 6</xref>. The presence of three or more people living in the households (OR 4.98; 95% CI 1.99-12.45) and having three and more sleeping rooms (OR 2.38; 95% CI 1.10-15.13) were suggested as risk factors, and the use of a protective net for sleeping (OR 0.18; 95% CI 0.03-0.97) was suggested as a protective factor. However, the multivariate analysis indicated that households with three or more people had a higher risk of malaria infection (ORa 4.05; 95% CI 1.57-10.43).</p>
                <table-wrap id="T6" orientation="portrait" position="float">
                    <label>Table 6. </label>
                    <caption>
                        <title>Malaria-related factors in commune 5 households.</title>
                        <p>Tumaco, July to December 2019.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Prevalence (%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Standard error</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">OR</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Wattle and daub wall</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.82</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.11</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Brick wall</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.81</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.26</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.60</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.10</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Wood wall</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.53</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.46</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.30</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Wall &#x2013; other materials</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.72</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.54</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.16</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.13</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Windows</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.14</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.90</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.42</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">27.17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.18</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Electricity</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Gas connection</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.05</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.20</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.82</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.49</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.13</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Water</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.22</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.87</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.66</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.84</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.88</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.85</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Sewage</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Garbage collection</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.55</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.33</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.62</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.77</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.56</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">People living in the household</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 or more</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.87</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.99</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">12.45</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 or 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.66</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.57</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Rooms where people sleep</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 or more</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.13</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 or 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.75</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.50</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.82</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="8" rowspan="1" valign="middle">Use of protective net while sleeping</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4.52</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9.95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.97</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.90</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.34</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The exploration of risk factors for individuals with malaria infection is presented in 
                    <xref ref-type="table" rid="T7">Table 7</xref>. None of the evaluated factors was statistically associated with a higher probability of having malaria.
                    <table-wrap id="T7" orientation="portrait" position="float">
                        <label>Table 7. </label>
                        <caption>
                            <title>Malaria-related factors in commune 5 inhabitants in Tumaco, July to December 2019.</title>
                        </caption>
                        <table content-type="article-table" frame="hsides">
                            <thead>
                                <tr>
                                    <th align="left" colspan="1" rowspan="2" valign="top">Variable</th>
                                    <th align="left" colspan="1" rowspan="2" valign="top">Prevalence (%)</th>
                                    <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                                    <th align="left" colspan="1" rowspan="2" valign="top">Standard error</th>
                                    <th align="left" colspan="1" rowspan="2" valign="top">OR</th>
                                    <th align="left" colspan="2" rowspan="1" valign="top">95% Confidence Interval</th>
                                </tr>
                                <tr>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Lower</th>
                                    <th align="left" colspan="1" rowspan="1" valign="top">Upper</th>
                                </tr>
                            </thead>
                            <tbody>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">
                                        <bold>Age (years)</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0-14</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">15 or more</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.9</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.50</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.67</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.35</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">
                                        <bold>Sex</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.8</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.7</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.14</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.35</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.66</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">
                                        <bold>Income</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1 or more MLW</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">&lt;1 MLW</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.71</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.54</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">5.37</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">
                                        <bold>Education</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Some</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">None</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="2" rowspan="1" valign="top">
                                        <bold>Civil status</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Has a partner</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.8</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">No partner</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.59</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.32</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.09</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="2" rowspan="1" valign="top">
                                        <bold>Time living in the household</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">10 or more years</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">&lt; 10 years</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.4</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.7</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.8</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.22</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.57</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.60</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="3" rowspan="1" valign="top">
                                        <bold>Malaria episodes &#x2013; last year</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="2" rowspan="1" valign="top">
                                        <bold>Pregnant</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.54</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.27</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">24.11</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="4" rowspan="1" valign="top">
                                        <bold>Have you taken antimalarial drugs over the last 15 days?</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.6</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.9</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.2</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">12.81</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.93</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">176.45</td>
                                </tr>
                                <tr>
                                    <td align="left" colspan="2" rowspan="1" valign="top">
                                        <bold>Ethnic group</bold>
                                    </td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">African descent</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">3.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">4.3</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                                    <td colspan="1" rowspan="1"/>
                                    <td colspan="1" rowspan="1"/>
                                </tr>
                                <tr>
                                    <td align="left" colspan="1" rowspan="1" valign="top">Others</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">0.0</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                    <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                </tr>
                            </tbody>
                        </table>
                    </table-wrap>
                </p>
            </sec>
        </sec>
        <sec id="sec17" sec-type="discussion">
            <title>Discussion</title>
            <p>This study conducted in Commune 5, urban area of Tumaco, estimated malaria prevalence, 
                <italic toggle="yes">pfhrp2</italic> gene amplification, and explored factors associated with infection. The prevalence of malaria was 2.97%. It was higher in the 10 to 19 age group (4.42%) and 0 to 9 (4.06%), decreased with age, and was higher in cases of asymptomatic and submicroscopic infection. The 
                <italic toggle="yes">pfhrp2</italic> gene was found and the disease was positively associated with households inhabited by three or more people.</p>
            <p>The blood samples were taken during the dry season, between July and September 2019. Malaria in the urban area of Tumaco has not shown a clear seasonal behavior.</p>
            <p>The study found malaria in Commune 5, an area believed to have high transmission according to reports from the Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department (API 2014 84.0 cases per 1,000 inhabitants; API 2015 220.5 and API 2016 165.8) (Pilar Perez, Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department, personal communication). The decrease in the prevalence of malaria over time is possibly due to the intensification of actions to search for and eliminate breeding sites, massive use of mosquito nets, and social participation as measures implemented for Commune 5. Diagnosis and treatment actions also have contributed, despite the difficulties that exist in accessing services. In this way, it has been reduced human contact (infected) &#x2014;a vector that has contributed to the decline in the burden of this disease.</p>
            <p>The higher prevalence of malaria in people under 20 years of age suggests that the infection may have been acquired locally. Unlike Africa, which has a high transmission and where the population, most affected in terms of morbidity and mortality is under 5 years of age, in areas of low transmission such as Colombia, malaria occurs in older age groups. Among the aspects that are considered to think that the transmission occurs in the urban area are confirming that the infection in the residents of these areas; evidence of the presence of adult 
                <italic toggle="yes">Anopheles spp.</italic> that are biting the inhabitants of urban dwellings and identifying breeding sites near them.
                <xref ref-type="bibr" rid="ref40">
                    <sup>40</sup>
                </xref>
            </p>
            <p>In South America, the prevalence of symptomatic and asymptomatic infections have ranged from 0.1% to 33% in urban areas of Porto Velho,
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Manaos,
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup> and M&#x00e2;ncio Lima
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> in Brazil. In Colombia, prevalence has ranged from 0% to 5.8%. In Quibd&#x00f3;, the estimated asymptomatic prevalence in a group of schoolchildren was 0% (95% CI: 0-1.4).
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> Two cases of submicroscopic infection were reported in Yesquita, Silencio and Roma neighborhoods of Quibd&#x00f3;.
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup> In the Santa M&#x00f3;nica de Guapi neighborhood (Cauca Department, on the Colombian Pacific), four successive measurements reported asymptomatic prevalence of 2.7%, 1.2%, 0.6% and 0.3%, respectively.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> In Buenaventura, the prevalence was 4.4%
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and in the California neighborhood in Tumaco it was 5.8%.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> These figures are not comparable with those reported in this study due to differences in terms of study design, type of sampling used, selection of individuals, diagnostic techniques, time of year in which the study was conducted, and the area where it was carried out. Concerning this last aspect, although there is no consensus on the definition of urban and peri-urban, the presence of symptomatic and asymptomatic malaria in Commune 5 of Tumaco was demonstrated, turning it into a potential human reservoir and a challenge for disease elimination strategies.</p>
            <p>The persistence of urban malaria may be caused by people moving back and forth between urban and rural areas. People travel from urban to rural areas, where the endemic is higher, either for work or leisure. People also travel from endemic rural areas to urban areas to access health services or to engage in commercial activities, causing them to stay for a long period of time there.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Rural areas are the main source of malaria infection in urban areas.
                <sup>
                    <xref ref-type="bibr" rid="ref45">45</xref>
                </sup>
            </p>
            <p>In urban areas, malaria infection is not expected to be prevalent due to better-designed households with better basic utilities, better access to health services, and the absence of mosquito breeding sites.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> However, in the study area, most households were found to belong to a low socioeconomic stratum, lack sewage, have few mosquitoes and breeding sites, and have low biting rates, which could in part contribute to disease transmission.</p>
            <p>In this study, households with higher occupancy showed higher malaria risk. Studies in Rwanda and Tanzania found that mosquitoes are more attracted to houses with many people
                <sup>
                    <xref ref-type="bibr" rid="ref47">47</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref48">48</xref>
                </sup> because there is a higher production of cues that attract them and increase the risk of transmission, compared to households with lower occupancy.
                <sup>
                    <xref ref-type="bibr" rid="ref49">49</xref>
                </sup>
            </p>
            <p>Something that stands out is the high percentage of households in which people slept with nets (98%). Although no distinction was made between untreated nets, those treated at some point in time, and those treated with insecticide, the bivariate analysis allows us to see their protective effect when households with and without malaria cases were compared. If nets are a major part of malaria elimination strategies, implementation, monitoring and evaluation of their use and efficacy should be routinely carried out in Commune 5 of Tumaco.
                <sup>
                    <xref ref-type="bibr" rid="ref50">50</xref>
                </sup>
            </p>
            <p>In terms of case detection, as in other studies, PCR had the highest diagnostic performance,
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> followed by microscopy. When comparing microscopy/RDT results with PCR results, lack of concordance was observed. Those with a positive diagnosis through microscopy/RDT were not detected through PCR and those with a positive diagnosis through PCR were not detected through microscopy/RDT. It is possible that people who were positive according to microscopy/RDT did not have the parasite's DNA so it could not be detected through PCR, as described by Mudare 
                <italic toggle="yes">et al.,</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref51">51</xref>
                </sup> or the sample may have had a low amount of parasitic DNA or it may have degraded. Another possibility is that there were changes in the primer ringing site, which would prevent amplification of the gene fragment under study. On the other hand, a positive microscopy with a negative RDT is probably because the limit of detection of RDT. The same rational is true for negative RDT with positive PCR. Cases of negative thick smear with positive RDT could be explained because 
                <italic toggle="yes">Pfhrp2</italic> antigen could be detected in the blood until 30 days after a good malaria treatment.</p>
            <p>Specifically, for negative PCR results it can be inferred that:
                <list list-type="order">
                    <list-item>
                        <label>1.</label>
                        <p>The ringing site of the primers may have some modification that does not allow their hybridization.</p>
                    </list-item>
                    <list-item>
                        <label>2.</label>
                        <p>Although the degradation of genomic DNA is improbable because the verification of its quality and integrity was carried out through quantification and the 260/280 ratio, which for all DNA was between 1.8 and 2.0 and by electrophoresis, respectively, but it is not unlikely that the reactions have contaminants that interfere with amplification.</p>
                    </list-item>
                    <list-item>
                        <label>3.</label>
                        <p>The sequences of the selected fragments may contain variable regions that are not recognized by the designed primers.</p>
                    </list-item>
                </list>
            </p>
            <p>The species detected through the various diagnostic tests was 
                <italic toggle="yes">P. falciparum</italic>, a finding that also corresponds to the most frequently reported species for malaria on the Colombian Pacific coast.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>In this study, differences were found in terms of the prevalence of malaria among men and women. As reported in other studies, malaria was more prevalent in men. This could be due to the fact that they spend more time doing outdoor activities, arrive to their households late in the evening, and have an indifferent attitude towards malaria prevention.
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>
                </sup>
            </p>
            <p>In terms of age groups, the highest prevalence of malaria was observed in the 10 to 19 age group and as age increased, prevalence decreased. This result is similar to that reported in other studies. Older people are likely to have a lower risk of becoming ill because they may develop some immunity if they have been previously exposed to the infection.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Less than 1% of participants had malaria in the last year and none in the last month. It is possible that in areas of low endemicity, such as Colombia, the lowest prevalence in older age groups is due to the fact that the population that may have less exposure was interviewed. For example, women who remain at home dedicated to household chores and individuals of school age who go to school. Recent studies in areas with high and low malaria transmission rates have revealed that asymptomatic infections contribute to malaria transmission.
                <sup>
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup> Furthermore, asymptomatic malaria may precede symptomatic disease, and may confer partial immunity against infection.
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup> In this study, participants were sampled at a single point in time. Those who were classified as asymptomatic had no history of illness in the last month and had not used antimalarial drugs in the last 15 days. For them, it is difficult to establish if they were in the incubation period of the disease or if they were carriers of a low number of parasites. Resolving a situation like this requires follow-up. In this regard, a study of 268 people followed for 29 months in western Kenya, in a high-transmission area, discovered that asymptomatic infections were highly likely to be followed by symptomatic disease. 
                <xref ref-type="bibr" rid="ref55">
                    <sup>55</sup>
                </xref> However, this does not seem to be the case in Commune 5 of Tumaco, which has a low transmission and where complicated malaria and malaria mortality do not occur.</p>
            <p>This study found the presence of the 
                <italic toggle="yes">pfhrp2</italic> gene in samples from the urban area of Commune 5 in Tumaco. The findings suggest that a low proportion of malaria infections are not detected through the RDTs used in Colombia. In South America, gene deletions have been reported in Peru (prevalence between 20.7% and 41.0%) and Brazil (one case).
                <sup>
                    <xref ref-type="bibr" rid="ref56">56</xref>
                </sup> In Colombia, these deletions have been reported in the Amazonas Department, where they reached a prevalence of 67%
                <sup>
                    <xref ref-type="bibr" rid="ref57">57</xref>
                </sup>; in Guapi (Cauca Department), where 6% of the parasite simples analyzed showed 
                <italic toggle="yes">pfhpr2/3</italic> gene deletion.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> The factors promoting the appearance of these parasites in some regions still remain unknown.
                <sup>
                    <xref ref-type="bibr" rid="ref58">58</xref>
                </sup> The estimates obtained in this study do not exceed the minimum WHO criteria (&gt;5%); however, it is important to monitor the hrp2-based RDTs used in the country. On the other hand, continuous monitoring related to submicroscopic infections and negative pfhrp2 results should be performed when using RDT. It is suggested that submicroscopic infections with parasites with 
                <italic toggle="yes">pfhrp2/3</italic> gene deletion could have infectious potential for mosquitoes and thus favor malaria transmission.
                <sup>
                    <xref ref-type="bibr" rid="ref57">57</xref>
                </sup>
            </p>
            <p>In the context of our study due to insufficient resources, we did not evaluate the deletion of these genes, we only amplified a fragment of these genes by means of PCR. However, in order to improve the management of clinical cases and design strategies for diagnosis, the detection of deletions in the 
                <italic toggle="yes">hrp2/3</italic> genes is relevant, since, as has been described, these can affect the accuracy of PDR in malaria endemic regions and of course in malaria control programs.</p>
            <p>On the other hand, in the Commune 5 neighborhoods of Tumaco, 
                <italic toggle="yes">An. albimanus</italic> was found in artificial ponds and wells, as described in the Buenaventura urban area.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Breeding sites were found in all the neighborhoods that were part of the study, except in Nuevo Milenio and Once de Noviembre. The differences between neighborhoods are caused by the urbanization level. Stilt houses predominate in some neighborhoods, while there is no sewage system in others, which leads to the construction of ditches where water stagnates and mosquitos breed. Although there is ongoing entomological surveillance, mosquito control interventions need to be strengthened and the community should be involved. 
                <italic toggle="yes">An. albimanus</italic> had greater hematophagic activity in peri-domestic areas between 18:00 and 19:00 hours, a time when people engage in social activities outdoors and when they can possibly contract the disease,
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> and indoors, between 21:00 and 22:00. However, given the low densities of 
                <italic toggle="yes">An. albimanus</italic> and the limited observation, it was not possible to determine whether the mosquito was highly active at other times at night.</p>
            <p>
                <italic toggle="yes">An. albimanus</italic> is considered a primary malaria vector in Colombia and particularly in Tumaco.
                <xref ref-type="bibr" rid="ref59">
                    <sup>59</sup>
                </xref> The presence of 
                <italic toggle="yes">An. albimanus</italic> in different neighborhoods of Commune 5 provides partial evidence of the possible local transmission of malaria. This mosquito has been considered an opportunistic species due to its ability to adapt to different breeding sites.
                <xref ref-type="bibr" rid="ref60">
                    <sup>60</sup>
                </xref> Despite the small number of adults collected, there is a risk of transmission, taking into account that the maximum biting activity occurs in the peridomicile between 18:00 and 19:00 hours.</p>
            <p>This study results should be studied with caution, given the limitations. First, the samples to be analyzed through PCR and 
                <italic toggle="yes">pfhrp2/3</italic> gene detection were taken on filter paper and were extracted after prolonged storage (due to the prioritization of PCR for Covid-19), which may have limited the amount of DNA to be used or may have promoted its degradation. Second, some samples collected on filter paper had little blood so the amount of gDNA was also variable. Third, the vast majority of individuals detected who were found to have malaria had no symptoms, which may not have allowed the researchers to detect the prevalence of 
                <italic toggle="yes">pfhrp2/3</italic> genes in symptomatic individuals. Fourth, the presence of illegal armed groups did not allow for an adequate entomological study because only partial observation was allowed in some neighborhoods, while in others the research group was not allowed. Fifth, due to study design, the participants were only questioned at sampling and there was no follow-up, so it is not possible to know if those who were asymptomatic later became symptomatic. Sixth, during survey application a memory bias may have been present, which could have altered the respondents' way of answering the questions.</p>
            <p>Particular attention requires the limitation related to entomological aspects. The results presented are only an approximation to the subject. The difficulties presented did not allow them an adequate study of the ecology of the vector and to characterize the aspects related to the vector's biting density, feeding patterns, biting activity, parity rates, and resting behavior, among other issues that represent important factors for malaria transmission within the Commune 5.</p>
            <p>A strength of this research was the participation of the &#x201c;Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department&#x201d; officials and the municipality of Tumaco. Their intervention will promote the use of these results for decision making in activities related to the pre-elimination of urban malaria in Tumaco.</p>
            <p>In summary, the prevalence of malaria was estimated at 2.97% and the prevalence of asymptomatic infection was 2.16% in the urban area of Commune 5 of Tumaco. Parasites positive for the 
                <italic toggle="yes">pfhrp2</italic> gene were found. 
                <italic toggle="yes">An. albimanus</italic> larvae were found in breeding sites and adult forms were found indoors and in peri-domestic areas. All of the cases were caused by 
                <italic toggle="yes">P. falciparum.</italic> The disease was positively associated with households inhabited by three and more people. Based on these results, pre-elimination of urban malaria should include early diagnosis strategies and continuous active surveillance of asymptomatic infection, which requires the inclusion of molecular diagnostic tests. In addition, the RDTs used to diagnose should be monitored for potential 
                <italic toggle="yes">pfhrp2</italic> gene deletion, which will be focused on considering alternatives. Additionally, work should be coordinated with other sectors to establish activities aimed at improving basic sanitation and conduct continuous educational activities aimed at preventing the disease.</p>
        </sec>
        <sec id="sec18">
            <title>Data availability</title>
            <sec id="sec19">
                <title>Underlying data</title>
                <p>Zenodo: Malaria Prevalence in Commune 5 in Tumaco (Nari&#x00f1;o, Colombia). 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.6395340">https://doi.org/10.5281/zenodo.6395340</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref61">61</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Malaria Prevalence in Commune 5 in Tumaco &#x2013; house &#x2013; readme.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Malaria Prevalence in Commune 5 in Tumaco &#x2013; house.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Malaria Prevalence in Commune 5 in Tumaco &#x2013; persons &#x2013; readme.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Malaria Prevalence in Commune 5 in Tumaco &#x2013; persons.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Breeding sites.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Determination Anopheles.xlsx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Malaria gel images.pdf</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec20">
                <title>Extended data</title>
                <p>Zenodo: Malaria Prevalence in Commune 5 in Tumaco (Nari&#x00f1;o, Colombia). 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.6395340">https://doi.org/10.5281/zenodo.6395340</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref61">61</xref>
                    </sup>
                </p>
                <p>This project contains the following extended data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Housing survey.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>Housing survey English.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>People survey.docx</p>
                        </list-item>
                        <list-item>
                            <label>-</label>
                            <p>People survey English.docx</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
    </body>
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    <sub-article article-type="reviewer-report" id="report245104">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.144551.r245104</article-id>
            <title-group>
                <article-title>Reviewer response for version 3</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Aidoo</surname>
                        <given-names>Ebenezer Krampah</given-names>
                    </name>
                    <xref ref-type="aff" rid="r245104a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r245104a1">
                    <label>1</label>Accra Technical University, Accra, Ghana</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>3</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Aidoo EK</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport245104" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110361.3"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors conducted a study in Tumaco, Columbia &#x201c;aimed at estimating malaria prevalence, detecting pfhrp 2/3 genes, and exploring associated factors in the urban area (Commune 5) in Tumaco during 2019&#x201d;. Generally, the manuscript is well written. However, the authors can further improve the manuscript by considering these suggestions.</p>
            <p> </p>
            <p> 
                <bold>Title:&#x00a0; &#x00a0;&#x201c;</bold>Malaria prevalence in Commune 5 in Tumaco (Nari&#x00f1;o, Colombia)&#x201d;. Consider 
                <bold>a broader title that captures the essence of the aim of the study. </bold>
            </p>
            <p> 
                <bold>Abstract (</bold>Abstract in its original version was translated into English by the reviewer to get a quick overview of the study)</p>
            <p> 
                <bold>Background</bold>
            </p>
            <p> &#x201c;pfhrp 2/3&#x201d; should be written in full for first-time usage. Thereafter, it can be shortened.</p>
            <p> 
                <bold>Methods</bold>
            </p>
            <p> Rapid diagnostic testing (RDT) should read 
                <bold>rapid diagnostic test (RDT) kits.</bold>
            </p>
            <p> 
                <bold>Results</bold>
            </p>
            <p> Consider starting with 
                <bold>words (</bold>One thousand five hundred and four individuals)
                <bold> other than figure</bold> as in 1,504 people.&#x00a0; 2.97% (95% CI: 2.1 - 4.3%) should be without the percent at the end of the bracket as in 
                <bold>2.97% (95% CI: 2.1 - 4.3). </bold>The same should be for
                <bold> </bold>2.16% (95% CI: 1.6 - 2.9%). &#x201c;(adjusted odds ratio [aOR]&#x201d;, should be adjusted odds ratio [
                <bold>AOR</bold>]. For consistency, maintain one of these formats below throughout the manuscript.</p>
            <p> 
                <bold>(95% CI: 2.1 - 4.3) or 95% confidence interval [CI] 1.57-10.43)</bold>
            </p>
            <p> P. falciparum. 
                <bold>
                    <italic>Plasmodium</italic> </bold>should be written in full for first-time usage. Thereafter, it can be shortened and italicized.</p>
            <p> 
                <bold>Introduction</bold>
            </p>
            <p> &#x201c;&#x2026;&#x2026;. aimed at estimating malaria prevalence, detecting pfhrp 2/3 genes, and exploring associated factors in the urban area (Commune 5) in Tumaco during 2019&#x201d;. Please clarify what you mean by 
                <bold>associated factors. Specificity is key.</bold>
            </p>
            <p> 
                <bold>Ethics and consent</bold>
            </p>
            <p> &#x201c;This study was approved by the ethics committees of the National Institute of Health (April 4, 2017, Minutes) and Fundaci&#x00f3;n Santa Fe de Bogot&#x00e1; (April 22, 2019, Minutes)&#x201d;. Consider quoting the reference number issued by the committee and as used in your ethical approval letter.</p>
            <p> 
                <bold>Study area.</bold>
            </p>
            <p> &#x201c;The presence of 
                <italic>Anophelines spp</italic>.&#x201d; should read The Presence of 
                <italic>Anopheles</italic> spp.</p>
            <p> </p>
            <p> 
                <bold>Laboratory procedures </bold>
            </p>
            <p> 
                <bold>Optical microscopy </bold>
            </p>
            <p> &#x201c;Blood samples were
                <bold> taken through</bold> finger puncture with a sterile lancet and each sample was then put on a clean film&#x201d;. &#x00a0;Consider rewording the sentence. Blood samples were 
                <bold>collected</bold> 
                <bold>by</bold> and not 
                <bold>taken through</bold>. What do you mean by each &#x201c;sample was then put on a clean film&#x201d;? Use a trained malaria microscopist rather than a Bacteriologist.</p>
            <p> 
                <bold>Polymerase chain reaction (PCR)</bold>
            </p>
            <p> 
                <bold>&#x201c;</bold>
                <bold>10 mm 2</bold> of Whatman #3 filter paper&#x2026;&#x2026;&#x201d;. Make the necessary correction.</p>
            <p> 
                <bold>Standardization of protocols for genomic DNA extraction from filter paper samples</bold>
            </p>
            <p> Could you provide references for the saponin/chelex-100 method of DNA extraction and conventional PCR used?</p>
            <p> 
                <bold>Definitions</bold>
            </p>
            <p> Move the definition of the 3 terminologies on page 7 to the introduction.</p>
            <p> Page 11 &#x201c;
                <bold>In the last year</bold>, 0.67% of the participants reported they had had malaria&#x201d;. State the year wherever it appears in the manuscript.</p>
            <p> 
                <bold>Prevalence of malaria</bold>
            </p>
            <p> &#x201c;The prevalence obtained through microscopy/RDT was 0.81%&#x201d;. From Table 4, it&#x2019;s true for microscopy but not so for RDT. How do you explain this?</p>
            <p> How do you reconcile these two statements below?</p>
            <p> &#x201c;The prevalence was 
                <bold>established</bold> from 1,504 microscopic examinations, 1,504 rapid diagnostic tests, and 
                <bold>1,504 PCR</bold>&#x201d;.&#x00a0;</p>
            <p> &#x201c;Out of the 1,504 blood samples collected, 
                <bold>1,492 were examined through PCR</bold> because some samples had very small amounts of blood&#x201d;.</p>
            <p> 
                <bold>Martha Cecilia Su&#x00e1;rez-Mutis</bold>
                <bold> (one of the reviewers)</bold> asked &#x201c;In total, how many samples were actually positive? What is the denominator? Table 5 shows 39 positive samples. If the denominator is 1,504, the prevalence was 2.59 and not 2.97%. Please add all the information and clarify the number and prevalence of positive samples&#x2019;&#x2019;. Find below your response:</p>
            <p> &#x201c;The prevalence of 2.97% corresponds to the stratified multistage random sampling with proportional assignment used by us. We have indicated this in the methods section. The prevalence of 2.59% would correspond to a simple random sampling that was not used in this study&#x201d;.</p>
            <p> How you arrived at the above analyses should be 
                <bold>&#x201c;captured&#x201d; </bold>in
                <bold> </bold>the statistical analysis section of the manuscript and also indicated as a 
                <bold>footnote as part of Table 4</bold>
            </p>
            <p> </p>
            <p> 
                <bold>Discussion</bold>
            </p>
            <p> Page 16 &#x201c;Concerning this last aspect, although there is no consensus on the definition of urban and peri-urban&#x201d; .............Reference will be needed.</p>
            <p> Page 17 - &#x201c;Less than 1% of participants had malaria in the last year and none in the last month&#x201d;. Be specific about the year and month wherever it appears.</p>
            <p> Page 17 &#x201c;&#x2026;&#x2026;&#x2026;where 6% of the parasite 
                <bold>simples </bold>analyzed showed pfhpr2/3 gene deletion&#x201d;. Should be samples.</p>
            <p> Page 17 PDR, Is it PCR? If not, write in full.</p>
            <p> Page 17 &#x201c;This study results should be studied with caution, given the limitations&#x201d;. Consider using limitations of the study include&#x2026;&#x2026;.</p>
            <p> Page 18- &#x201c;Particular attention requires the limitation related to entomological aspects. The results presented are only an approximation to the subject&#x201d;. The statement should be reworded so the meaning comes out clearer.</p>
            <p> &#x201c;In addition, the RDTs used to diagnose should be monitored for potential pfhrp2 gene deletion, which will be focused on considering alternatives&#x201d;. What do you mean? Please explain further.</p>
            <p> 
                <bold>General observation</bold>
            </p>
            <p> Were you able to detect pfhrp 3 genes and explore the associated factors?</p>
            <p> &#x201c;Plasmodium falciparum specific RDTs specifically recognize HRP2 antigen that encodes for the pfhrp2 gene and whose antibodies cross-react with histidine-rich protein 3 (pfhrp3) antibodies due to high degree of similarity in amino acid sequence&#x201d; (WHO. Malaria Policy Advisory Committee Meeting, 14&#x2013;16 September 2016, Background document for Session 7;&#x00a0;
                <italic>P. falciparum</italic>&#x00a0;hrp2/3 gene deletions, conclusions and recommendations of a technical consultation. Geneva: World Health Organization, 2016.
                <ext-link ext-link-type="uri" xlink:href="https://www.who.int/publications/i/item/WHO-HTM-GMP-MPAC-2016.14">Malaria Policy Advisory Committee meeting report (September 2016) (who.int)</ext-link>)</p>
            <p> The associated factors should be delineated from 
                <bold>Tables 6 and 7</bold> to inform the discussion and 
                <bold>not generalized</bold>.</p>
            <p> The quality of the language will have to be improved.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>My research interests are in the areas of malaria epidemiology, host-parasite interactions, dynamics of disease transmission, antimalarial drug resistance and use of molecular tools to better understand the transmission of malaria, other infectious diseases (COVID-19, Helicobacter pylori infection etc) and neglected tropical diseases (Schistosomiasis, Soil-transmitted helminth infection etc).</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report149865">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.138123.r149865</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Su&#x00e1;rez-Mutis</surname>
                        <given-names>Martha Cecilia</given-names>
                    </name>
                    <xref ref-type="aff" rid="r149865a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2809-6799</uri>
                </contrib>
                <aff id="r149865a1">
                    <label>1</label>Instituto Oswaldo Cruz, Laborat&#x00f3;rio de Doen&#x00e7;as Parasit&#x00e1;rias, Funda&#x00e7;&#x00e3;o Oswaldo Cruz, Rio de Janeiro, Brazil</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>10</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Su&#x00e1;rez-Mutis MC</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport149865" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110361.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Some questions were not answered by the authors and thus, new doubts arose: the main question is in the interpretation of pfhrp2/3 prevalences (and malaria prevalence):</p>
            <p> </p>
            <p> 1) In total, how many samples were actually positive? What is the denominator? table 5 shows 39 positive samples. If denominator is 1,504, the prevalence was 2.59 and not 2.97%. Please add all the information and clarify the number and prevalence of positive samples.</p>
            <p> </p>
            <p> On the other hand, it is assumed that all 
                <italic>P. falciparum</italic> should have the pfhrp2/3 gene. Its absence indicates a deletion of this gene or that the PCR used was not able to detect it. What was the PCR protocol used for detection of 
                <italic>pfhrp</italic>2/3?. Please, add the reference. These data are extremamely important for quality of the work. Was it and "i
                <italic>n house</italic>" method?. If this was the case, the complete protocol must be added to methods sections.&#x00a0;</p>
            <p> </p>
            <p> It is probably that authors used as denominator for 
                <italic>pfhrp</italic>2 gene detection, almost all the samples collected (n=1.492). As authors only found 39 
                <italic>P. falciparum</italic> positive samples, the denominator for&#x00a0;
                <italic>pfhrp</italic>&#x00a0;amplification should be 39 (as in table 5) and not 1.492. Maybe this is the cause of finding only 2.16% 
                <italic>pfhrp </italic>gene amplification. As data are incomplete this is an assumption. Authors must clarify. It is very confusing.&#x00a0;</p>
            <p> </p>
            <p> Minor English and taxonomic corrections are necessary:</p>
            <p> </p>
            <p> All taxonomic names with only generic names must have spp. at the end (ex. 
                <italic>Anopheles</italic> spp.).</p>
            <p> </p>
            <p> page 6/40:&#x00a0;</p>
            <p> "In this city, 70%of malaria cases are reported from Commune 5 in the last ten years".</p>
            <p> </p>
            <p> As authors are talking about malaria in the last ten years (in past), the verb should be written in past time: ...In this city, 70%of malaria cases 
                <underline>
                    <bold>were</bold>
                </underline> reported..;</p>
            <p> </p>
            <p> Page 6/40:&#x00a0;</p>
            <p> "
                <italic>Polymerase chain reaction (PCR)</italic>
            </p>
            <p> For PCR, two drops of blood were obtained from the same finger puncture and were then put on the filter paper. 10 mm
                <sup>2</sup>&#x00a0;of Whatman #3 filter paper impregnated with blood were taken and genomic DNA extraction was performed according to the protocol described in the article".</p>
            <p> Authors did not give information about this article. Please add a reference.</p>
            <p> </p>
            <p> Pag 6/40:</p>
            <p> Authors said that: "Standardization of protocols for genomic DNA extraction from whole blood and filter paper samples". However, methods only explain about DNA extraction and PCR from filter paper samples. No mention about whole blood experiments was found in the manuscript. If authors collected whole blood samples (not filter paper) these data should be in the methods. If not, this part of the sentence should be excluded.&#x00a0;</p>
            <p> </p>
            <p> Page 7/40:&#x00a0;</p>
            <p> The sentence: "For the amplification of the different fragments of the genes mentioned, we designed the specific primers and the PCR conditions for each of them were standardized. For the design of the primers, the GC content, dimer formation, loop formation, palindromes and Tm were taken into account. The sequences of the HRP2/HRP3 and PvSSU genes published in the Genbank were used, an alignment was performed using clustalW (Refseq) and the primers were designed from conserved regions of the sequences obtained" is repeated at the end of page 6. Please excluded the repeated sentence.</p>
            <p> </p>
            <p> Discussion:</p>
            <p> Page 16/40: Authors said: "In terms of case detection, as in other studies, PCR had the highest diagnostic performance,
                <sup>
                    <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/11-448#ref40">40</ext-link>
                </sup>&#x00a0;followed by microscopy. When comparing microscopy/RDT results with PCR results, lack of concordance was observed. Those with a positive diagnosis through microscopy/RDT were not detected through PCR and those with a positive diagnosis through PCR were not detected through microscopy/RDT. It is possible that people who were positive according to microscopy/RDT did not have the parasite's DNA so it could not be detected through PCR, as described by Mudare&#x00a0;
                <italic>et al.,</italic>
                <sup>
                    <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/11-448#ref51">51</ext-link>
                </sup>&#x00a0;or the sample may have had a low amount of parasitic DNA or it may have degraded. Another possibility is that there were changes in the primer ringing site, which would prevent amplification of the gene fragment under study.". This part is a little confusing. For better clarification, we suggested to separate RDT results, thick smear results and PCR results and to discuss each finding (negative RDT with positive PCR, etc.).</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Malaria epidemiology and molecular epidemiology of Plasmodium infections; malaria diagnosis, Pfhrp2/3 deletion detection; asymptomatic Plasmodium infections.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment9920-149865">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chaparro Narv&#x00e1;ez</surname>
                            <given-names>Pablo Enrique</given-names>
                        </name>
                        <aff>Instituto Nacional de Salud (Colombia), Colombia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>17</day>
                    <month>7</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your new review. These are our answers:</p>
                <p> </p>
                <p> Some questions were not answered by the authors and thus, new doubts arose: the main question is in the interpretation of pfhrp2/3 prevalence&#x2019;s (and malaria prevalence): 
                    <list list-type="bullet">
                        <list-item>
                            <p>1) In total, how many samples were actually positive? What is the denominator? table 5 shows 39 positive samples. If denominator is 1,504, the prevalence was 2.59 and not 2.97%. Please add all the information and clarify the number and prevalence of positive samples.</p>
                        </list-item>
                    </list> 
                    <bold>Answer:</bold> The prevalence of 2.97% corresponds to the stratified multistage random sampling with proportional assignment used by us. We have indicated in the methods section. The prevalence of 2.59% would correspond to a simple random sampling that was not used in this study. 
                    <list list-type="bullet">
                        <list-item>
                            <p>On the other hand, it is assumed that all 
                                <italic>P. falciparum</italic> should have the pfhrp2/3 gene. Its absence indicates a deletion of this gene or that the PCR used was not able to detect it. What was the PCR protocol used for detection of pfhrp2/3?. Please, add the reference. These data are extremely important for quality of the work. Was it and "in house" method?. If this was the case, the complete protocol must be added to methods sections.</p>
                        </list-item>
                    </list> 
                    <bold>Answer:</bold> As indicated in the methods section, PCRs were performed for the individual amplification of the HRP2 and HRP3 genes. It is not possible to confirm the deletion of these genes with this study, since the sequencing of the complete genes was not carried out, but only fragments of them. 
                    <list list-type="bullet">
                        <list-item>
                            <p>It is probably that authors used as denominator for pfhrp2 gene detection, almost all the samples collected (n=1.492). As authors only found 39 
                                <italic>P. falciparum</italic> positive samples, the denominator for PfHRP amplification should be 39 (as in table 5) and not 1.492. Maybe this is the cause of finding only 2.16% PfHRP gene amplification. As data are incomplete this is an assumption. Authors must clarify. It is very confusing.</p>
                        </list-item>
                    </list> 
                    <bold>Answer:</bold> The prevalence for the detection of the pfhrp2 gene was also calculated taking into account multistage stratified random sampling with proportional assignment. 
                    <list list-type="bullet">
                        <list-item>
                            <p>Minor English and taxonomic corrections are necessary:</p>
                        </list-item>
                        <list-item>
                            <p>All taxonomic names with only generic names must have spp. at the end (ex. Anopheles spp.).</p>
                        </list-item>
                    </list> 
                    <bold>Answer</bold>: The adjustment was made on pages 9, 15, 16, 19. 
                    <list list-type="bullet">
                        <list-item>
                            <p>page 6/40:</p>
                        </list-item>
                    </list> "In this city, 70% of malaria cases are reported from Commune 5 in the last ten years".</p>
                <p> </p>
                <p> As authors are talking about malaria in the last ten years (in past), the verb should be written in past time: ...In this city, 70% of malaria cases were reported.</p>
                <p> </p>
                <p> 
                    <bold>Answer:</bold> The adjustment was made. 
                    <list list-type="bullet">
                        <list-item>
                            <p>Page 6/40:</p>
                        </list-item>
                    </list> "Polymerase chain reaction (PCR)</p>
                <p> For PCR, two drops of blood were obtained from the same finger puncture and were then put on the filter paper. 10 mm2 of Whatman #3 filter paper impregnated with blood were taken and genomic DNA extraction was performed according to the protocol described in the article".</p>
                <p> Authors did not give information about this article. Please add a reference.</p>
                <p> </p>
                <p> 
                    <bold>Answer:</bold> The adjustment was made. 
                    <list list-type="bullet">
                        <list-item>
                            <p>Pag 6/40:</p>
                        </list-item>
                    </list> Authors said that: "Standardization of protocols for genomic DNA extraction from whole blood and filter paper samples". However, methods only explain about DNA extraction and PCR from filter paper samples. No mention about whole blood experiments was found in the manuscript. If authors collected whole blood samples (not filter paper) these data should be in the methods. If not, this part of the sentence should be excluded.</p>
                <p> </p>
                <p> 
                    <bold>Answer</bold>: The adjustment was made. The whole blood extraction was eliminated since it is not mentioned in the manuscript. 
                    <list list-type="bullet">
                        <list-item>
                            <p>Page 7/40:</p>
                        </list-item>
                    </list> The sentence: "For the amplification of the different fragments of the genes mentioned, we designed the specific primers and the PCR conditions for each of them were standardized. For the design of the primers, the GC content, dimer formation, loop formation, palindromes and Tm were taken into account. The sequences of the HRP2/HRP3 and PvSSU genes published in the Genbank were used, an alignment was performed using clustalW (Refseq) and the primers were designed from conserved regions of the sequences obtained" is repeated at the end of page 6. Please excluded the repeated sentence.</p>
                <p> </p>
                <p> 
                    <bold>Answer:</bold> Removed the repeated paragraph. 
                    <list list-type="bullet">
                        <list-item>
                            <p>Discussion:</p>
                        </list-item>
                    </list> Page 16/40: Authors said: "In terms of case detection, as in other studies, PCR had the highest diagnostic performance,40 followed by microscopy. When comparing microscopy/RDT results with PCR results, lack of concordance was observed. Those with a positive diagnosis through microscopy/RDT were not detected through PCR and those with a positive diagnosis through PCR were not detected through microscopy/RDT. It is possible that people who were positive according to microscopy/RDT did not have the parasite's DNA so it could not be detected through PCR, as described by Mudare et al.,51 or the sample may have had a low amount of parasitic DNA or it may have degraded. Another possibility is that there were changes in the primer ringing site, which would prevent amplification of the gene fragment under study.". This part is a little confusing. For better clarification, we suggested to separate RDT results, thick smear results and PCR results and to discuss each finding (negative RDT with positive PCR, etc.).</p>
                <p> </p>
                <p> 
                    <bold>Answer:</bold> The adjustment was made.</p>
                <p> </p>
                <p> The correlation between techniques is made to be able to explain why there is not a 100% positivity between tests.</p>
                <p> Specifically, for negative PCR results it can be inferred that:</p>
                <p> 1. The ringing site of the primers may have some modification that does not allow their hybridization.</p>
                <p> 2. Although the degradation of genomic DNA is improbable because the verification of its quality and integrity was carried out through quantification and the 260/280 ratio, which for all DNA was between 1.8 and 2.0 and by electrophoresis, respectively, but it is not unlikely that the reactions have contaminants that interfere with amplification.</p>
                <p> 3. The sequences of the selected fragments may contain variable regions that are not recognized by the designed primers.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report149866">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.138123.r149866</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Farah Haziqah</surname>
                        <given-names>Meor Termizi</given-names>
                    </name>
                    <xref ref-type="aff" rid="r149866a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-7757-8770</uri>
                </contrib>
                <aff id="r149866a1">
                    <label>1</label>School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>9</day>
                <month>9</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Farah Haziqah MT</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport149866" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110361.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>No further comments are needed. Thank you.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Parasitology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report135483">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.121958.r135483</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Farah Haziqah</surname>
                        <given-names>Meor Termizi</given-names>
                    </name>
                    <xref ref-type="aff" rid="r135483a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-7757-8770</uri>
                </contrib>
                <aff id="r135483a1">
                    <label>1</label>School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>5</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Farah Haziqah MT</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport135483" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110361.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This paper discusses malaria prevalence based on several methods (microscopy examination, RDT, and PCR), detection of 
                <italic>pfhrp</italic> 2/3 genes as well as explores the associated factors for malaria infection in the urban area (Commune 5) in Tumaco, Colombia in 2019. The main contribution of the paper is mainly on the information on malaria infection in Tumaco, Colombia with the most recent status of malaria infection was found to be very low with only 2.97% prevalence out of 1,504 individuals being examined. Other than that, it was found that all the positive cases were caused by 
                <italic>Plasmodium falciparum</italic> and this study also manages to detect the main vector species for this parasite which is the 
                <italic>Anopheles albimanus</italic>. The larvae were detected in a pond and a well whereas the adults were detected indoors and in peri-domestic areas.</p>
            <p> </p>
            <p> However, there are a few suggestions that need to be considered such as follows: 
                <list list-type="order">
                    <list-item>
                        <p>Figure 1: it is advisable to have a better mapping as the map provided is not clearly demonstrating the study areas. For example, putting the legends on the map indicating Commune 5 and the map becomes more legible.</p>
                    </list-item>
                    <list-item>
                        <p>The total number of samples for each of the laboratory procedures (i.e. techniques used to detect malaria) need to be stated clearly.</p>
                    </list-item>
                    <list-item>
                        <p>It would be better and more understandable to include a schematic diagram of the study sampling technique.</p>
                    </list-item>
                    <list-item>
                        <p>As for DEFINITION in methods, reword the sentence and provide it in the form of a paragraph which explains in detail the definition used in this paper.</p>
                    </list-item>
                </list> Therefore, I recommend that this paper be Approved after minor revision.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Parasitology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment8702-135483">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chaparro Narv&#x00e1;ez</surname>
                            <given-names>Pablo Enrique</given-names>
                        </name>
                        <aff>Instituto Nacional de Salud (Colombia), Colombia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>31</day>
                    <month>8</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your review. These are our answers for your review:</p>
                <p> </p>
                <p> Figure 1: it is advisable to have a better mapping as the map provided is not clearly demonstrating the study areas. For example, putting the legends on the map indicating Commune 5 and the map becomes more legible.</p>
                <p> A: We have shown the study area on the map and have included the legends</p>
                <p> </p>
                <p> The total number of samples for each of the laboratory procedures (i.e. techniques used to detect malaria) need to be stated clearly.</p>
                <p> A:&#x00a0;The prevalence was established from 1,504 microscopic examinations, 1,504 rapid diagnostic tests, and 1,504 PCR.</p>
                <p> </p>
                <p> It would be better and more understandable to include a schematic diagram of the study sampling technique.</p>
                <p> A:&#x00a0;We have included the schematic diagram of the study's sampling technique</p>
                <p> </p>
                <p> As for DEFINITION in methods, reword the sentence and provide it in the form of a paragraph which explains in detail the definition used in this paper.</p>
                <p> A: This&#x00a0;study assumed the definitions of symptomatic malaria, asymptomatic malaria, and submicroscopic malaria. Symptomatic malaria corresponded to an individual with positive microscopy/RDT and symptoms of malaria, such as fever, chills, vomiting, convulsions, malaise, headache and/or loss of appetite. Asymptomatic malaria corresponded to an individual with positive microscopy/RDT or PCR, without symptoms. 
                    <sup>38,39</sup>. Submicroscopic malaria corresponded to an individual with positive PCR and negative microscopy/RDT. Submicroscopic infections are almost exclusively asymptomatic. 
                    <sup>39</sup>
                </p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report135485">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.121958.r135485</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Su&#x00e1;rez-Mutis</surname>
                        <given-names>Martha Cecilia</given-names>
                    </name>
                    <xref ref-type="aff" rid="r135485a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2809-6799</uri>
                </contrib>
                <aff id="r135485a1">
                    <label>1</label>Instituto Oswaldo Cruz, Laborat&#x00f3;rio de Doen&#x00e7;as Parasit&#x00e1;rias, Funda&#x00e7;&#x00e3;o Oswaldo Cruz, Rio de Janeiro, Brazil</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>16</day>
                <month>5</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Su&#x00e1;rez-Mutis MC</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport135485" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.110361.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>Malaria prevalence in Commune 5 in Tumaco (Nari&#x00f1;o,&#x00a0;</bold>
                <bold>Colombia)</bold>
            </p>
            <p> </p>
            <p> This is a very interesting study about the prevalence of malaria in an urban area of the Pacific Coast of Colombia. The data is relevant, but there are some areas that need further clarification before indexing.</p>
            <p> </p>
            <p> 
                <bold>Introduction</bold>
            </p>
            <p> </p>
            <p> Page 3:</p>
            <p> </p>
            <p> The authors said, 
                <italic>&#x201c;</italic>To overcome the limitations of optical microscopy and RDTs, molecular detection of malaria parasites through the polymerase chain reaction (PCR) was used&#x201d;. It is true that optical microscopy and RDT have imitations, but it is important that the authors describe the context in which molecular assays are important.</p>
            <p> </p>
            <p> The authors said, &#x201c;Regarding urban malaria, there are challenges in terms of what is meant by &#x201c;urban&#x201d;, &#x201c;peri-urban&#x201d;, &#x201c;rural&#x201d; and &#x201c;urban malaria&#x201d;. &#x201c;Urban malaria&#x201d; is repeated in this sentence.</p>
            <p> </p>
            <p> The authors said, &#x201c;Despite these difficulties, it has been established that urban and peri-urban malaria is caused by population traveling from rural to urban and peri-urban areas
                <sup>13</sup> and trips from rural areas to urban areas and vice versa&#x201d;. This information is not exact. It depends on the context. Several African and Amazonian cities have larval habitats that determine autochthones malaria cases. On the other hand, what is the difference between &#x201c;traveling from rural to urban and peri-urban&#x201d; and &#x201c;trips from rural areas to urban areas and vice versa&#x201d;?</p>
            <p> </p>
            <p> The authors said, &#x201c;Given the limited research on malaria prevalence carried out in the Colombian territory and the detection of pfhrp 2/3 genes in urban areas, this study was aimed at estimating malaria prevalence, detecting pfhrp2/3 genes, and exploring associated factors in the urban area (Commune 5) in Tumaco during 2019&#x201d;. From Public Health programs, it is important to detect the percentage of 
                <bold>
                    <underline>deletions</underline>
                </bold> of the Pfhrp2/3 genes in a population.</p>
            <p> </p>
            <p> Page 4:</p>
            <p> </p>
            <p> About the inclusion criteria, the authors said that &#x201c;minors who have the authorization of the responsible adult or guardian&#x201d; were included. Was there not a minimum age for inclusion of children? The authors said that &#x201c;a prevalence study was conducted in Commune 5 of Tumaco, a malaria-endemic urban area&#x201d;. The authors should inform the criteria for selection of Commune 5 in Tumaco municipality. Is this the only Commune that has malaria? A better description of Commune 5 is necessary. How many inhabitants live there? Where is Commune 5 located? In the middle or in the periphery of the city? In the figure it seems that there is a river? What is the name of the river? The authors said that &#x201c;In Tumaco, in the urban area, malaria is concentrated in Commune 5, where nearly 70% of the cases are found and there are breeding sites of Anopheles spp.&#x201d;. 70% of urban cases are originated of the Commune 5? The idea is not clear. It is much better to say: In the urban area of Tumaco, 70% of malaria cases are found in the Commune 5 where there are breeding sites (our larval habitats) for 
                <italic>Anophelines</italic> spp. too. What kind of larval habitats are in this Commune 5?</p>
            <p> </p>
            <p> Page 6:</p>
            <p> </p>
            <p> The authors collected blood for thick smear, RDTs and whole blood and filter paper samples, but in the methods, there is no information about the methods and the quantity of total blood was collected for PCR and filter paper samples. Please add this information.</p>
            <p> </p>
            <p> On the other hand, for better understanding, we suggest that data about DNA extraction will be added before PCR experiments. The authors only add information about DNA extraction from filter paper but not for the whole blood extraction. Was it made? If whole blood extraction was done, DNA was extracted from what quantity of blood?</p>
            <p> </p>
            <p> Page 7:</p>
            <p> </p>
            <p> Please add the reference of the protocol that was used for amplified Pfhrp2/3 genes.</p>
            <p> </p>
            <p> For entomological collections, how many capture points were sampled? How many days, or how many times were the adult captures done?</p>
            <p> </p>
            <p> The authors defined &#x201c;Asymptomatic malaria as Individual with positive microscopy/RDT or PCR, without symptoms&#x201d;. It is important to remember that with this definition, individuals could be in a prepatogenic period or be an asymptomatic individual. The same reasoning goes for &#x201c;Submicroscopic malaria&#x201d;. The individual can be in the prepathogenic period or she/he can be in recovering period. Questions about malaria in the last month or to use malaria drugs in the last month were done?</p>
            <p> </p>
            <p> 
                <bold>Results</bold>:</p>
            <p> </p>
            <p> Table 3 included some categories that should not be included. For example, the variables &#x201c;Educational level&#x201d; and &#x201c;civil status&#x201d; for children under 5 years old.</p>
            <p> Page 11:</p>
            <p> </p>
            <p> Authors said that &#x201c;and through PCR it was 2.16%&#x201d;. Exclude &#x201c;it&#x201d; in this sentence. Notably, only one individual with symptoms was PCR (+) and 6 with thick smear/RDT were symptomatic. Were these individuals negative in the PCR or was the PCR not done in these patients?</p>
            <p> </p>
            <p> Authors said that, &#x201c;The prevalence of amplification of the pfhrp2 gene was 2.16% (95% CI: 1.58% - 2.94%), and for the pfhrp3 gene and the PvSSU gene it was 0&#x201d;. The literature for 
                <italic>Pfhrp</italic>2/3 usually shows the percentage of gene deletion not the percentage of detection of these genes. It is expected that 
                <italic>P. falciparum</italic> samples carry the gene. It is extremally important that authors confirm if they effectively detected the gene or if they are showing the deletion of the gene. What does the percentage actually mean?</p>
            <p> </p>
            <p> </p>
            <p> Page 14:</p>
            <p> </p>
            <p> 
                <bold>Discussion:</bold>
            </p>
            <p> </p>
            <p> The authors said that &#x201c;The prevalence of malaria was 2.97%. It was higher (4.42%) in the 10 to 19 age group&#x201d;, but in the table 4, the 0-9 age group the prevalence was 4.06. Was there any statistical difference found in malaria cases in children between 0 and 9 years old and 10 and 19 years old?</p>
            <p> </p>
            <p> The authors said that &#x201c;The study found malaria in Commune 5, an area believed to have high transmission according to reports from the Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department (API 2014 84.0 cases per 1,000 inhabitants; API 2015 220.5 and API 2016 165.8)&#x201d;. Please add a reference. A better discussion using previous knowledge of malaria in this area must be added. If this area was classified as high malaria risk in the past, why did the results show this low prevalence? How do we interpret these results? What&#x00b4;s causing the different prevalence between age groups? How do we understand this epidemiology?</p>
            <p> </p>
            <p> In order to better interpret the results it is necessary to add more information. For example, when was the study done? (Year and month)? In this locality, is malaria seasonal? Was the study carried out during the high malaria season?</p>
            <p> </p>
            <p> The authors said that &#x201c;In urban areas, malaria infection is not expected to be prevalent due to better-designed households with better basic utilities, better access to health services, and the absence of mosquito breeding sites&#x201d;. They use a reference about taxonomy and not specifically urban malaria. Studies about urban malaria around the world show that there are specific determinants for malaria transmission in these areas. Larval habitats usually are very near to these urban areas. This does not seem to be the case in this area where the prevalence was very low.</p>
            <p> </p>
            <p> The authors found a lack of concordance between microscopy/RDT and PCR tests. As they did not separate microscopy and RDT is difficult to interpret this result. A technical problem can occur when a positive microscopy is comparing with PCR. One question is, did the authors do quality control for thick smears? As primers are very specific, it is difficult to explain a positive thick smear with a negative PCR.</p>
            <p> </p>
            <p> On the other hand, a positive microscopy with a negative RDT is probably because the limit of detection of RDT. The same rational is true for negative RDT with positive PCR. Cases of negative thick smear with positive RDT could be explained because Pfhrp2 antigen could be detected in the blood until 30 days after a good malaria treatment.</p>
            <p> </p>
            <p> Anyway, it is necessary that authors add this information in the discussion and include it in the results a separate data for microscopy, RDT and PCR results (including in symptomatic and asymptomatic individuals).</p>
            <p> </p>
            <p> Page 15:</p>
            <p> </p>
            <p> The authors said that &#x201c;In terms of age groups, the highest prevalence of malaria was observed in the 10 to 19 age group and as age increased, prevalence decreased. This result is similar to that reported in other studies. Older people are likely to have a lower risk of becoming ill because they may develop some immunity if they have been previously exposed to the infection&#x201d;. Was there any question about malaria antecedents in the questionnaire? How many malaria episodes did the participants have before the study? Or, how many participants had at least one previous malaria episode before the study? These are important questions that the authors did not address.</p>
            <p> </p>
            <p> The authors said that &#x201c;Furthermore, asymptomatic malaria may precede symptomatic disease, and may confer partial immunity against infection&#x201d;. Asymptomatic 
                <italic>Plasmodium </italic>infection is an important field of study and until now many questions continue open for discussion. It seems clear that asymptomatic infections occur in individuals with several past malaria episodes and this status is product of clinical immunity develop along time. This &#x201c;status of 
                <italic>Plasmodium</italic> asymptomatic infection&#x201d; is different of those individuals whose blood were collected during the pre-pathogenic period before the beginning of malaria paroxysm. They could be in the &#x201c;incubation period&#x201d; and the number of parasites circulating in blood do not still reach the parasitic threshold for clinical symptoms. A better discussion about authors results and their interpretation must be added.</p>
            <p> About discussion of Pfhrp2, we added above this sentence: &#x201c;Authors said that &#x201c;The prevalence of amplification of the pfhrp2 gene was 2.16% (95% CI: 1.58% - 2.94%), and for the pfhrp3 gene and the PvSSU gene it was 0&#x201d;. The literature for 
                <italic>Pfhrp</italic>2/3 usually show the percentage of gene deletion not the percentage of detection of these genes. It is expected that 
                <italic>P falciparum</italic> samples carry the gene. It is extremally important that authors confirm if they effectively detected the gene or if they are showing the deletion of the gene. What does the percentage actually mean?&#x201d;. For the discussion, it is very important to know what was really detected by the authors - the deletion of gene or the gene?</p>
            <p> </p>
            <p> The authors said that &#x201c;On the other hand, in the Commune 5 neighborhoods of Tumaco, 
                <italic>An. albimanus</italic> was found in artificial ponds and wells&#x201d;. This data was not added in the results section.</p>
            <p> </p>
            <p> Regarding anopheline transmission in this study, it would be interesting if the authors added a discussion about ecological conditions for malaria transmission of 
                <italic>An. albimanus.</italic>&#x00a0;Furthermore, a critical analysis of the constraints of entomological studies must be incorporated.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Malaria epidemiology and molecular epidemiology of Plasmodium infections; malaria diagnosis, Pfhrp2/3 deletion detection; asymptomatic Plasmodium infections.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment8701-135485">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Chaparro Narv&#x00e1;ez</surname>
                            <given-names>Pablo Enrique</given-names>
                        </name>
                        <aff>Instituto Nacional de Salud (Colombia), Colombia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>31</day>
                    <month>8</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your constructive review. These are our answers for your review:</p>
                <p> </p>
                <p> 
                    <bold>Introduction</bold>
                </p>
                <p> Page 3:</p>
                <p> The authors said, 
                    <italic>&#x201c;</italic>To overcome the limitations of optical microscopy and RDTs, molecular detection of malaria parasites through the polymerase chain reaction (PCR) was used&#x201d;. It is true that optical microscopy and RDT have imitations, but it is important that the authors describe the context in which molecular assays are important. 
                    <list list-type="order">
                        <list-item>
                            <p>The following paragraph was included: &#x201c;PCR is a more sensitive diagnostic method to detect asymptomatic infections with very low parasite density. It may be useful in studies of submicroscopic infections, although its utility depends on the epidemiological importance of low-density infections, which have not yet been characterized&#x201d; (Framework for malaria elimination)</p>
                        </list-item>
                    </list> </p>
                <p> The authors said, &#x201c;Regarding urban malaria, there are challenges in terms of what is meant by &#x201c;urban&#x201d;, &#x201c;peri-urban&#x201d;, &#x201c;rural&#x201d; and &#x201c;urban malaria&#x201d;. &#x201c;Urban malaria&#x201d; is repeated in this sentence. 
                    <list list-type="order">
                        <list-item>
                            <p>We corrected</p>
                        </list-item>
                    </list> </p>
                <p> The authors said,</p>
                <p> &#x201c;Despite these difficulties, it has been established that urban and peri-urban malaria is caused by population traveling from rural to urban and peri-urban areas13 and trips from rural areas to urban areas and vice versa&#x201d;. This information is not exact. It depends on the context. Several African and Amazonian cities have larval habitats that determine autochthones malaria cases. On the other hand, what is the difference between &#x201c;traveling from rural to urban and peri-urban&#x201d; and &#x201c;trips from rural areas to urban areas and vice versa&#x201d;? 
                    <list list-type="order">
                        <list-item>
                            <p>We adjusted: &#x201c;Despite these difficulties, it has been established that urban and peri-urban malaria may be transmitted by population traveling from rural to urban and peri-urban areas (14,15) Local transmission has also been suggested in urban areas where the presence of Anopheles, as a competent vector, and infected people converge (13)&#x201d;</p>
                        </list-item>
                    </list> </p>
                <p> The authors said, &#x201c;Given the limited research on malaria prevalence carried out in the Colombian territory and the detection of pfhrp 2/3 genes in urban areas, this study was aimed at estimating malaria prevalence, detecting pfhrp2/3 genes, and exploring associated factors in the urban area</p>
                <p> (Commune 5) in Tumaco during 2019&#x201d;. From Public Health programs, it is important to detect the percentage of 
                    <bold>deletions </bold>of the Pfhrp2/3 genes in a population. 
                    <list list-type="order">
                        <list-item>
                            <p>One of the objectives of the study was to detect gene fragments of Pfhrp2/3. The deletion of these genes was not evaluated. However, to improve malaria elimination programs, it is necessary to determine these deletions since, at least in Colombia, the RDTs used for diagnosis are based on these genes, and of course, deletions would generate false negatives.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Methods</bold>
                </p>
                <p> Page 4:</p>
                <p> About the inclusion criteria, the authors said that &#x201c;minors who have the authorization of the responsible adult or guardian&#x201d; were included. Was there not a minimum age for inclusion of children? 
                    <list list-type="order">
                        <list-item>
                            <p>There is no minimum age for the&#x00a0;inclusion of children.</p>
                        </list-item>
                    </list> </p>
                <p> The authors said that &#x201c;a prevalence study was conducted in Commune 5 of Tumaco, a malaria-endemic urban area&#x201d;. The authors should inform the criteria for selection of Commune 5 in Tumaco municipality. Is this the only Commune that has malaria? 
                    <list list-type="order">
                        <list-item>
                            <p>We corrected: In the urban area of Tumaco, all five communes are endemic to malaria. In this city, 70% of malaria cases are reported from commune 5 in the last ten years</p>
                        </list-item>
                    </list> </p>
                <p> A better description of Commune 5 is necessary. How many inhabitants live there? Where is Commune 5 located? In the middle or in the periphery of the city? In the figure it seems that there is a river? What is the name of the river? 
                    <list list-type="order">
                        <list-item>
                            <p>We corrected: Commune 5, with 26,000 inhabitants, is in the continental area of Tumaco on the low-tide land and nearby estuaries. The presence of Anophelines sppn breeding sites (ponds, puddles, and lakes for shrimp farming) and the high density of the population make this commune of high risk of malaria transmission.</p>
                        </list-item>
                    </list> </p>
                <p> In the figure, the image corresponds to an estuary. It's not a river.</p>
                <p> </p>
                <p> The authors said that &#x201c;In Tumaco, in the urban area, malaria is concentrated in Commune 5, where nearly 70% of the cases are found and there are breeding sites of Anopheles spp.&#x201d;. 70% of urban cases are originated of the Commune 5? The idea is not clear. It is much better to say: In the urban area of Tumaco, 70% of malaria cases are found in the Commune 5 where there are breeding sites (our larval habitats) for 
                    <italic>Anophelines </italic>spp. too. What kind of larval habitats are in this Commune 5? 
                    <list list-type="order">
                        <list-item>
                            <p>We included the suggested phrase and larval habitats.</p>
                        </list-item>
                    </list> </p>
                <p> Page 6:</p>
                <p> The authors collected blood for thick smear, RDTs and whole blood and filter paper samples, but</p>
                <p> in the methods, there is no information about the methods and the quantity of total blood was collected for PCR and filter paper samples. Please add this information. 
                    <list list-type="order">
                        <list-item>
                            <p>We have included: For PCR, two drops of blood were obtained from the same finger puncture and were then put on the filter paper</p>
                        </list-item>
                    </list> </p>
                <p> On the other hand, for better understanding, we suggest that data about DNA extraction will be added before PCR experiments. 
                    <list list-type="order">
                        <list-item>
                            <p>We have made the suggested change.</p>
                        </list-item>
                    </list> </p>
                <p> The authors only add information about DNA extraction from filter paper but not for the whole blood extraction. Was it made? If whole blood extraction was done, DNA was extracted from what quantity of blood? 
                    <list list-type="order">
                        <list-item>
                            <p>We have included: 10 mm&#x00b2; of Whatman #3 filter paper impregnated with blood were taken and genomic DNA extraction was performed according to the protocol described in the article. This procedure was performed in duplicate.</p>
                        </list-item>
                    </list> </p>
                <p> Page 7:</p>
                <p> Please add the reference of the protocol that was used for amplified Pfhrp2/3 genes. 
                    <list list-type="order">
                        <list-item>
                            <p>We have included: For the amplification of the different fragments of the genes mentioned, we designed the specific primers and the PCR conditions for each of them were standardized. For the design of the primers, the GC content, dimer formation, loop formation, palindromes and Tm were taken into account. The sequences of the HRP2/HRP3 and PvSSU genes published in the Genbank were used, an alignment was performed using clustalW (Refseq) and the primers were designed from conserved regions of the sequences obtained.</p>
                        </list-item>
                    </list> </p>
                <p> For entomological collections, how many capture points were sampled? How many days, or how many times were the adult captures done? 
                    <list list-type="order">
                        <list-item>
                            <p>We have included: Between October 1 and 23, 2019, 81 capture points were sampled in 25 homes and 83 breeding places.</p>
                        </list-item>
                    </list> </p>
                <p> The authors defined &#x201c;Asymptomatic malaria as Individual with positive microscopy/RDT or PCR, without symptoms&#x201d;. It is important to remember that with this definition, individuals could be in a</p>
                <p> prepatogenic period or be an asymptomatic individual. The same reasoning goes for &#x201c;Submicroscopic malaria&#x201d;. The individual can be in the prepathogenic period or she/he can be in recovering period. Questions about malaria in the last month or to use malaria drugs in the last month were done? 
                    <list list-type="order">
                        <list-item>
                            <p>In the applied questionnaire were included the questions:</p>
                        </list-item>
                    </list> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Have you had malaria in the last year, apart from the current episode?</p>
                        </list-item>
                        <list-item>
                            <p>When was the last time you had malaria?</p>
                        </list-item>
                        <list-item>
                            <p>Have you taken antimalarial drugs in the last 15 days?&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Results</bold>:</p>
                <p> Table 3 included some categories that should not be included. For example, the variables</p>
                <p> &#x201c;Educational level&#x201d; and &#x201c;civil status&#x201d; for children under 5 years old.</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>We corrected:</p>
                        </list-item>
                    </list> Table 3. Characteristics of the Surveyed Population. Tumaco, July to December 2019</p>
                <p> </p>
                <p> 
                    <bold>Characteristics</bold>
                </p>
                <p> 
                    <bold>Total</bold>
                </p>
                <p> </p>
                <p> 
                    <bold>Unweighted count</bold>
                </p>
                <p> 
                    <bold>Weighted count</bold>
                </p>
                <p> </p>
                <p> 
                    <bold>n</bold>
                </p>
                <p> 
                    <bold>%</bold>
                </p>
                <p> 
                    <bold>95% Confidence Interval</bold>
                </p>
                <p> </p>
                <p> 
                    <bold>Age groups</bold>
                </p>
                <p> </p>
                <p> 0-9</p>
                <p> 272</p>
                <p> 18,32</p>
                <p> 16,0</p>
                <p> 20,9</p>
                <p> </p>
                <p> 10-19</p>
                <p> 318</p>
                <p> 21,47</p>
                <p> 19,1</p>
                <p> 24,1</p>
                <p> </p>
                <p> 20-49</p>
                <p> 626</p>
                <p> 40,88</p>
                <p> 38,64</p>
                <p> 43,15</p>
                <p> </p>
                <p> &#x2265;50</p>
                <p> 288</p>
                <p> 19,33</p>
                <p> 16,94</p>
                <p> 21,98</p>
                <p> </p>
                <p> 
                    <bold>Sex</bold>
                </p>
                <p> </p>
                <p> Male</p>
                <p> 531</p>
                <p> 35,56</p>
                <p> 33,5</p>
                <p> 37,7</p>
                <p> </p>
                <p> Female</p>
                <p> 973</p>
                <p> 64,44</p>
                <p> 62,3</p>
                <p> 66,5</p>
                <p> </p>
                <p> 
                    <bold>Ethnic group</bold>
                </p>
                <p> </p>
                <p> Black, African descent</p>
                <p> 1.439</p>
                <p> 95,23</p>
                <p> 91,4</p>
                <p> 97,4</p>
                <p> </p>
                <p> Others</p>
                <p> 65</p>
                <p> 4,77</p>
                <p> 2,6</p>
                <p> 8,6</p>
                <p> </p>
                <p> 
                    <bold>Years living in the house</bold>
                </p>
                <p> </p>
                <p> 0 to 4</p>
                <p> 373</p>
                <p> 25,60</p>
                <p> 22,5</p>
                <p> 28,9</p>
                <p> </p>
                <p> 5 to 9</p>
                <p> 397</p>
                <p> 25,97</p>
                <p> 22,4</p>
                <p> 29,9</p>
                <p> </p>
                <p> 10 or more</p>
                <p> 714</p>
                <p> 47,03</p>
                <p> 42,6</p>
                <p> 51,5</p>
                <p> </p>
                <p> No information</p>
                <p> 20</p>
                <p> 1,40</p>
                <p> 0,8</p>
                <p> 2,3</p>
                <p> </p>
                <p> 
                    <bold>Educational level</bold>
                    <bold>*</bold>
                </p>
                <p> </p>
                <p> Preschool, primary</p>
                <p> 555</p>
                <p> 40,75</p>
                <p> 37,05</p>
                <p> 44,55</p>
                <p> </p>
                <p> High school</p>
                <p> 628</p>
                <p> 45,79</p>
                <p> 42,88</p>
                <p> 48,73</p>
                <p> </p>
                <p> University</p>
                <p> 113</p>
                <p> 8,54</p>
                <p> 6,43</p>
                <p> 11,24</p>
                <p> </p>
                <p> None</p>
                <p> 72</p>
                <p> 4,93</p>
                <p> 3,57</p>
                <p> 6,77</p>
                <p> </p>
                <p> 
                    <bold>Civil status</bold>
                    <bold>**</bold>
                </p>
                <p> </p>
                <p> Has a partner</p>
                <p> 585</p>
                <p> 52.78</p>
                <p> 49.08</p>
                <p> 56.45</p>
                <p> </p>
                <p> No partner</p>
                <p> 526</p>
                <p> 47.22</p>
                <p> 43.55</p>
                <p> 50.92</p>
                <p> </p>
                <p> 
                    <bold>Occupation</bold>
                </p>
                <p> </p>
                <p> Worker</p>
                <p> 450</p>
                <p> 30,04</p>
                <p> 26,4</p>
                <p> 34,0</p>
                <p> </p>
                <p> Housework</p>
                <p> 399</p>
                <p> 26,26</p>
                <p> 24,0</p>
                <p> 28,7</p>
                <p> </p>
                <p> Early childhood</p>
                <p> 158</p>
                <p> 10,46</p>
                <p> 8,8</p>
                <p> 12,4</p>
                <p> </p>
                <p> Childhood</p>
                <p> 178</p>
                <p> 12,26</p>
                <p> 10,7</p>
                <p> 14,0</p>
                <p> </p>
                <p> Adolescence</p>
                <p> 218</p>
                <p> 14,49</p>
                <p> 12,7</p>
                <p> 16,5</p>
                <p> </p>
                <p> Unemployed</p>
                <p> 36</p>
                <p> 2,29</p>
                <p> 1,6</p>
                <p> 3,2</p>
                <p> </p>
                <p> Pensioner</p>
                <p> 14</p>
                <p> 0,86</p>
                <p> 0,5</p>
                <p> 1,4</p>
                <p> </p>
                <p> Other</p>
                <p> 51</p>
                <p> 3,34</p>
                <p> 2,4</p>
                <p> 4,6</p>
                <p> </p>
                <p> 
                    <bold>Family income</bold>
                </p>
                <p> </p>
                <p> &lt;1 MLW (Monthly Legal Wage)</p>
                <p> 1.219</p>
                <p> 79,37</p>
                <p> 72,8</p>
                <p> 84,7</p>
                <p> </p>
                <p> 1 or more MLW</p>
                <p> 281</p>
                <p> 20,33</p>
                <p> 15,1</p>
                <p> 26,8</p>
                <p> </p>
                <p> Does not know</p>
                <p> 4</p>
                <p> 0,30</p>
                <p> 0,1</p>
                <p> 1,7</p>
                <p> </p>
                <p> 
                    <bold>Malaria in the last year</bold>
                </p>
                <p> 10</p>
                <p> 0,67</p>
                <p> 0,32</p>
                <p> 1,40</p>
                <p> </p>
                <p> * In the &#x201c;Educational level&#x201d; variable, 136 children under 5 years of age were excluded.</p>
                <p> ** In the &#x201c;Civil status&#x201d; variable, 393 children under 14 years of age were excluded.</p>
                <p> </p>
                <p> Page 11:</p>
                <p> Authors said that &#x201c;and through PCR it was 2.16%&#x201d;. Exclude &#x201c;it&#x201d; in this sentence. 
                    <list list-type="order">
                        <list-item>
                            <p>We exclude &#x201c;it&#x201d; in this sentence.</p>
                        </list-item>
                    </list> </p>
                <p> Notably, only one individual with symptoms was PCR (+) and 6 with thick smear/RDT were symptomatic. Were these individuals negative in the PCR or was the PCR not done in these patients? 
                    <list list-type="order">
                        <list-item>
                            <p>Yes, these individuals were negative in the PCR. All these persons were examined by PCR.</p>
                        </list-item>
                    </list> </p>
                <p> Authors said that, &#x201c;The prevalence of amplification of the pfhrp2 gene was 2.16% (95% CI: 1.58% -</p>
                <p> 2.94%), and for the pfhrp3 gene and the PvSSU gene it was 0&#x201d;. The literature for 
                    <italic>Pfhrp</italic>2/3 usually shows the percentage of gene deletion not the percentage of detection of these genes. It is</p>
                <p> expected that 
                    <italic>P. falciparum </italic>samples carry the gene. It is extremally important that authors confirm if they effectively detected the gene or if they are showing the deletion of the gene. What does the percentage actually mean? 
                    <list list-type="order">
                        <list-item>
                            <p>Fragments of the Pfhrp2/3 genes were detected by PCR amplification. No assays were performed to assess the deletion of these genes. The percentage shown corresponds to the percentage of amplification of the Pfhrp2/3 genes.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Discussion:</bold>
                </p>
                <p> Page 14:</p>
                <p> The authors said that &#x201c;The prevalence of malaria was 2.97%. It was higher (4.42%) in the 10 to 19 age group&#x201d;, but in the table 4, the 0-9 age group the prevalence was 4.06. Was there any statistical difference found in malaria cases in children between 0 and 9 years old and 10 and 19 years old? 
                    <list list-type="order">
                        <list-item>
                            <p>There were no statistically significant differences (p: 0.83). We adjust: It was higher in the 10 to 19 (4.42%) and 0 to 9 (4.06%) age groups</p>
                        </list-item>
                    </list> </p>
                <p> The authors said that &#x201c;The study found malaria in Commune 5, an area believed to have high transmission according to reports from the Vector-Borne Disease Prevention and Control Program</p>
                <p> in the Nari&#x00f1;o Department (API 2014 84.0 cases per 1,000 inhabitants; API 2015 220.5 and API 2016 165.8)&#x201d;. Please add a reference. 
                    <list list-type="order">
                        <list-item>
                            <p>We add: Pilar Perez, Vector-Borne Disease Prevention and Control Program in the Nari&#x00f1;o Department, personal communication</p>
                        </list-item>
                    </list> </p>
                <p> A better discussion using previous knowledge of malaria in this area must be added. If this area was classified as high malaria risk in the past, why did the results show this low prevalence? How do we interpret these results? What&#x00b4;s causing the different prevalence between age groups? How do we understand this epidemiology?</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>We add: The decrease in the prevalence of malaria over time is possibly due to the intensification of actions to search for and eliminate breeding sites, massive use of mosquito nets, and social participation as measures implemented for Commune 5. Diagnosis and treatment actions also have contributed, despite the difficulties that exist in accessing services. In this way, it has reduced human contact (infected) &#x2014;a vector that has contributed to the decline in the burden of this disease.</p>
                        </list-item>
                    </list> </p>
                <p> The higher prevalence of malaria in people under 20 years of age suggests that the infection may have been acquired locally. Unlike Africa, which has a high transmission and where the population, most affected in terms of morbidity and mortality is under 5 years of age, in areas of low transmission such as Colombia, malaria occurs in older age groups. Among the aspects that are considered to think that the transmission occurs in the urban area are confirming the infection in the residents of these areas; evidence of the presence of adult Anopheles that are biting the inhabitants of urban dwellings and identifying breeding sites near them (40).</p>
                <p> </p>
                <p> In order to better interpret the results it is necessary to add more information. For example, when was the study done? (Year and month)? In this locality, is malaria seasonal? Was the study carried out during the high malaria season? 
                    <list list-type="order">
                        <list-item>
                            <p>The blood samples were taken during the dry season, between July and September 2019. Malaria in the urban area of Tumaco has not shown a clear seasonal behavior.</p>
                        </list-item>
                    </list> </p>
                <p> The authors said that &#x201c;In urban areas, malaria infection is not expected to be prevalent due to better-designed households with better basic utilities, better access to health services, and the absence of mosquito breeding sites&#x201d;. They use a reference about taxonomy and not specifically urban malaria. Studies about urban malaria around the world show that there are specific determinants for malaria transmission in these areas. Larval habitats usually are very near to these urban areas. This does not seem to be the case in this area where the prevalence was very low. 
                    <list list-type="order">
                        <list-item>
                            <p>We change the reference: Larson P, Eisenberg J, Berrocal V, Mathanga D, Wilson M. An urban-to-rural continuum of malaria risk: new analytic approaches characterize patterns in Malawi. Malaria Journal 20, 418 (2021) (ref 46)</p>
                        </list-item>
                    </list> </p>
                <p> The authors found a lack of concordance between microscopy/RDT and PCR tests. As they did not separate microscopy and RDT is difficult to interpret this result. A technical problem can occur when a positive microscopy is comparing with PCR. One question is, did the authors do quality control for thick smears? As primers are very specific, it is difficult to explain a positive thick smear with a negative PCR. 
                    <list list-type="order">
                        <list-item>
                            <p>The National Institute of Health performed quality control on 10% (153) of the samples analyzed by optical microscopy in accordance with national recommendations.</p>
                        </list-item>
                    </list> </p>
                <p> On the other hand, a positive microscopy with a negative RDT is probably because the limit of detection of RDT. The same rational is true for negative RDT with positive PCR. Cases of negative thick smear with positive RDT could be explained because Pfhrp2 antigen could be detected in the blood until 30 days after a good malaria treatment.</p>
                <p> Anyway, it is necessary that authors add this information in the discussion and include it in the results a separate data for microscopy, RDT and PCR results (including in symptomatic and asymptomatic individuals). 
                    <list list-type="order">
                        <list-item>
                            <p>We add: &#x201c;On the other hand, positive microscopy with a negative RDT is probably because of the limit of detection of RDT. The same rationale is true for negative RDT with positive PCR. Cases of negative thick smear with positive RDT could be explained because Pfhrp2 antigen could be detected in the blood until 30 days after a good malaria treatment.&#x201d;</p>
                        </list-item>
                    </list> </p>
                <p> We include in the results:</p>
                <p> </p>
                <p> Table 5. Test results according to symptoms. Unweighted count</p>
                <p> Commune 5 neighborhoods, Tumaco (Nari&#x00f1;o, Colombia). October 2019</p>
                <p> </p>
                <p> Test</p>
                <p> Symptoms</p>
                <p> Total</p>
                <p> </p>
                <p> Yes</p>
                <p> No</p>
                <p> </p>
                <p> Optical microscopy (RDT)</p>
                <p> 6 (5)</p>
                <p> 5 (3)</p>
                <p> 11 (8)</p>
                <p> </p>
                <p> PCR</p>
                <p> 1</p>
                <p> 27</p>
                <p> 28</p>
                <p> </p>
                <p> Total</p>
                <p> 7</p>
                <p> 33</p>
                <p> 39</p>
                <p> </p>
                <p> In parentheses, the cases diagnosed with RDT</p>
                <p> </p>
                <p> Page 15:</p>
                <p> The authors said that &#x201c;In terms of age groups, the highest prevalence of malaria was observed in the 10 to 19 age group and as age increased, prevalence decreased. This result is similar to that reported in other studies. Older people are likely to have a lower risk of becoming ill because they may develop some immunity if they have been previously exposed to the infection&#x201d;. Was there any question about malaria antecedents in the questionnaire? How many malaria episodes did the participants have before the study? Or, how many participants had at least one previous malaria episode before the study? These are important questions that the authors did not address. 
                    <list list-type="order">
                        <list-item>
                            <p>&#x00a0;We included in the study the questions 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Have you had malaria in the last year, apart from the current episode?</p>
                                    </list-item>
                                    <list-item>
                                        <p>When was the last time you had malaria?</p>
                                    </list-item>
                                    <list-item>
                                        <p>Have you taken antimalarial drugs in the last 15 days?&#x00a0;</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                    </list> The results are presented in the corresponding section as follows:</p>
                <p> Ten individuals had malaria in the last year. Of them, none had malaria in the last month. They also did not have positive test results for malaria in the last 15 days, and they had not consumed antimalarial drugs.</p>
                <p> </p>
                <p> Less than 1% of participants had malaria in the last year and none in the last month. It is possible that in areas of low endemicity, such as Colombia, the lowest prevalence in older age groups is due to the fact that the population that may have less exposure was interviewed. For example, women who remain at home dedicated to household chores and individuals of school age who go to school.</p>
                <p> </p>
                <p> The authors said that &#x201c;Furthermore, asymptomatic malaria may precede symptomatic disease, and may confer partial immunity against infection&#x201d;. Asymptomatic 
                    <italic>Plasmodium </italic>infection is an important field of study and until now many questions continue open for discussion. It seems clear that asymptomatic infections occur in individuals with several past malaria episodes and this status is product of clinical immunity develop along time. This &#x201c;status of 
                    <italic>Plasmodium </italic>asymptomatic infection&#x201d; is different of those individuals whose blood were collected during the pre-pathogenic period before the beginning of malaria paroxysm. They could be in the &#x201c;incubation period&#x201d; and the number of parasites circulating in blood do not still reach the parasitic threshold for clinical symptoms. A better discussion about authors results and their interpretation must be added.</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>In this study, participants were sampled at a single point in time. Those who were classified as asymptomatic had no history of illness in the last month and had not used antimalarial drugs in the last 15 days. For them, it is difficult to establish if they were in the incubation period of the disease or if they were carriers of a low number of parasites. Resolving a situation like this requires follow-up. In this regard, a study of 268 people followed for 29 months in western Kenya, in a high-transmission area, discovered that asymptomatic infections were highly likely to be followed by symptomatic disease (ref 55). However, this does not seem to be the case in Commune 5 of Tumaco, which has a low transmission and where complicated malaria and malaria mortality do not occur.</p>
                        </list-item>
                    </list> </p>
                <p> About discussion of Pfhrp2, we added above this sentence: &#x201c;Authors said that &#x201c;The prevalence of amplification of the pfhrp2 gene was 2.16% (95% CI: 1.58% - 2.94%), and for the pfhrp3 gene and the PvSSU gene it was 0&#x201d;. The literature for 
                    <italic>Pfhrp</italic>2/3 usually show the percentage of gene deletion not the percentage of detection of these genes. It is expected that 
                    <italic>P falciparum </italic>samples carry the gene. It is extremally important that authors confirm if they effectively detected the gene or if they are showing the deletion of the gene. What does the percentage actually mean?&#x201d;. For the discussion, it is very important to know what was really detected by the authors - the deletion of gene or the gene? 
                    <list list-type="order">
                        <list-item>
                            <p>We included: In the context of our study due to insufficient resources, we did not evaluate the deletion of these genes, we only amplified a fragment of these genes by means of PCR. However, in order to improve the management of clinical cases and design strategies for diagnosis, the detection of deletions in the HRP2/3 genes is relevant, since, as has been described, these can affect the accuracy of PDR in malaria endemic regions and of course in malaria control programs.</p>
                        </list-item>
                    </list> </p>
                <p> The authors said that &#x201c;On the other hand, in the Commune 5 neighborhoods of Tumaco, 
                    <italic>An.</italic>
                </p>
                <p> 
                    <italic>albimanus </italic>was found in artificial ponds and wells&#x201d;. This data was not added in the results section. 
                    <list list-type="order">
                        <list-item>
                            <p>These data is in the results section: &#x201c;83 breeding sites were found. Out of those, two had Anopheles mosquito larvae, one in the Uni&#x00f3;n Victoria neighborhood and the other one in the Obrero neighborhood. One breeding site was a pond and the other one was a well. 32 larvae were collected in both breeding sites. 27 of them were in late stages (3rd and 4th) and were identified as 
                                <italic>An. albimanus</italic>.&#x201d;</p>
                        </list-item>
                    </list> </p>
                <p> Regarding anopheline transmission in this study, it would be interesting if the authors added a discussion about ecological conditions for malaria transmission of 
                    <italic>An. albimanus. </italic> 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <italic>An albimanus</italic> is considered a primary malaria vector in Colombia and particularly in Tumaco (ref 59). The presence of 
                                <italic>An. albimanus</italic> in different neighborhoods of Commune 5 provides partial evidence of the possible local transmission of malaria. This mosquito has been considered an opportunistic species due to its ability to adapt to different breeding sites (ref 60). Despite the small number of adults collected, there is a risk of transmission, taking into account that the maximum biting activity occurs in the peridomicile between 18:00 and 19:00 hours.</p>
                        </list-item>
                    </list> </p>
                <p> Furthermore, a critical analysis of the constraints of entomological studies must be incorporated. 
                    <list list-type="order">
                        <list-item>
                            <p>Particular attention requires the limitation related to entomological aspects. The results presented are only an approximation to the subject. The difficulties presented did not allow them an adequate study of the ecology of the vector and to characterize the aspects related to the vector's biting density, feeding patterns, biting activity, parity rates, and resting behavior, among other issues that represent important factors for malaria transmission within the Commune 5.</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
</article>
