<?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.128675.2</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>Use of ivermectin and factors associated with the prevention and/or treatment of COVID-19: a cross-sectional online survey in the province of Chincha, Peru</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Salvador-Carrillo</surname>
                        <given-names>Jose</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7076-6093</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Campos-Loza</surname>
                        <given-names>Luz</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Guillen-Carbajal</surname>
                        <given-names>David</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Osada</surname>
                        <given-names>Jorge</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Zevallos</surname>
                        <given-names>Alejandra</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Torres-Roman</surname>
                        <given-names>J. Smith</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5310-6077</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Escuela Profesional de Medicina Humana, Universidad Privada San Juan Bautista, Filial Chincha, Ica, Peru</aff>
                <aff id="a2">
                    <label>2</label>Universidad Cientifica del Sur, Lima, Peru</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:jstorresroman@gmail.com">jstorresroman@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>8</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>149</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>8</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Salvador-Carrillo J 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/12-149/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Peru has reported one of the highest mortality rates from COVID-19 worldwide. The Chincha province has been one of the most affected regions in Peru and the leading promoter of the use of ivermectin for the treatment of COVID-19. Therefore, our study aimed to evaluate the frequency of use and factors associated with the use of ivermectin for COVID-19 in Chincha.</p>
                <p>
                    <bold>Methods:</bold> A cross-sectional study was conducted during the second wave of COVID-19 in Peru. For statistical analyses, frequencies and percentages were reported. Prevalence ratios (PR) with a 95% confidence interval (CI), and a p-value of 0.05 were used to determine statistical significance. SPSS version 22 (IBM Corp) program was used for the analyses.</p>
                <p>
                    <bold>Results:</bold> A total of 432 participants were included in the study. A total of 67.6% (n = 292) of the participants used ivermectin during the COVID-19 pandemic. Of these, 20.20% (n=59) of the people used ivermectin for prophylactic purposes only, while 41.79% (n=122) used it as treatment for COVID-19 only, and 38.01% (n=111) used it for both reasons. The consumption of ivermectin was associated with being 50 years or older (PR:1.27, 95% CI:1.04&#x2013;1.54), having a technical education level (PR:1.16, 95% CI:1.01&#x2013;1.34), having had symptoms of COVID-19 with negative/no diagnosis (PR: 1.28, 95% CI: 1.07&#x2013;1.53) or positive diagnosis (PR:1.38, 95% CI:1.18&#x2013;1.61), or having had contact with infected people (PR:1.45, 95% CI:1.06&#x2013;1.98).</p>
                <p>
                    <bold>Conclusions:</bold> Most people in Chincha used ivermectin during the second wave of the COVID-19 pandemic. The main factors associated with the use of ivermectin for the prevention/treatment of COVID-19 were age &#x2265;50 years, having a technical education level, having had symptoms with negative/no diagnosis or positive diagnosis, and contact with people infected with SARS-CoV-2.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Ivermectin</kwd>
                <kwd>COVID-19</kwd>
                <kwd>Treatment and Prevention</kwd>
                <kwd>Peru.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Universidad Privada San Juan Bautista SAC</funding-source>
                </award-group>
                <funding-statement>This work was supported by the Universidad Privada San Juan Bautista SAC</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 1</title>
                <p>We have corrected all the reviewers' comments. In addition, we have improved the style editing.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>COVID-19 is a highly contagious and rapidly spreading virus that can present various manifestations, from asymptomatic to severe cases, often resulting in death.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Peru was one of the countries with the highest mortality rate (8.89%) worldwide [
                <ext-link ext-link-type="uri" xlink:href="https://covid19.minsa.gob.pe/sala_situacional.asp">https://covid19.minsa.gob.pe/sala_situacional.asp</ext-link>]. In this country, the Ica department was devastated by COVID-19, with an elevated mortality rate during 2020,
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> while Chincha, a province of Ica, reported one of the highest mortality rates among all provinces of Peru, with a cumulative rate of 43.5 deaths per 10,000 inhabitants.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
            </p>
            <p>In Chincha, which is located 123 miles south of Lima, the capital of Peru, several factors contributed to the high mortality rate reported, including an insufficient number of beds in intensive care units (ICU) and the lack of specialists in the management of this disease.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> However, another factor that could have contributed to the elevated mortality rate in this province was the use of ivermectin as a prophylactic and/or treatment for COVID-19. In fact, several studies have shown that patients who consumed ivermectin showed no improvement compared with those who had not taken this drug;
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> and some other studies have reported even higher mortality rates.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>The belief in ivermectin as a therapeutic or prophylactic drug for COVID-19 was very common in Chincha [
                <ext-link ext-link-type="uri" xlink:href="https://elcomercio.pe/peru/ica/chincha-entre-la-ivermectina-sin-limites-la-promesa-de-una-vacuna-y-el-golpe-del-covid-19-vacuna-peruana-manolo-fernandez-farvet-noticia/">https://elcomercio.pe/peru/ica/chincha-entre-la-ivermectina-sin-limites-la-promesa-de-una-vacuna-y-el-golpe-del-covid-19-vacuna-peruana-manolo-fernandez-farvet-noticia/</ext-link>], and this drug was distributed in parks and city squares [
                <ext-link ext-link-type="uri" xlink:href="https://www.idl-reporteros.pe/el-hospital-san-jose/">https://www.idl-reporteros.pe/el-hospital-san-jose/</ext-link>; 
                <ext-link ext-link-type="uri" xlink:href="https://saludconlupa.com/comprueba/ivermectina-nuevo-estudio-no-apoya-su-uso-para-casos-leves-de-covid-19/">https://saludconlupa.com/comprueba/ivermectina-nuevo-estudio-no-apoya-su-uso-para-casos-leves-de-covid-19/</ext-link>]; moreover, regional leaders encouraged its use, and local media supported this action [
                <ext-link ext-link-type="uri" xlink:href="https://exitosanoticias.pe/v1/dr-fernandez-si-mas-peruanos-tomaran-ivermectina-habria-menos-casos-de-covid-19/">https://exitosanoticias.pe/v1/dr-fernandez-si-mas-peruanos-tomaran-ivermectina-habria-menos-casos-de-covid-19/</ext-link>]. However, this level of promotion of the use of ivermectin against COVID-19 for its inhabitants was not observed in other regions of Peru [
                <ext-link ext-link-type="uri" xlink:href="https://elcomercio.pe/peru/ica/chincha-entre-la-ivermectina-sin-limites-la-promesa-de-una-vacuna-y-el-golpe-del-covid-19-vacuna-peruana-manolo-fernandez-farvet-noticia/">https://elcomercio.pe/peru/ica/chincha-entre-la-ivermectina-sin-limites-la-promesa-de-una-vacuna-y-el-golpe-del-covid-19-vacuna-peruana-manolo-fernandez-farvet-noticia/</ext-link>].</p>
            <p>The use of ivermectin to treat COVID-19 in Peru started in the first months of the pandemic when the Peruvian Ministry of Health included this drug in the guidelines for the treatment of COVID-19.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> and spent USD 6.25 million (exchange rate 1 USD = 4 PEN) on the acquisition of ivermectin for the treatment of COVID-19 in 2020 [
                <ext-link ext-link-type="uri" xlink:href="https://elcomercio.pe/lima/sucesos/covid-19-gobierno-nacional-gasto-112-mas-en-la-compra-de-medicinas-no-recomendadas-que-en-oxigeno-ecdata-noticia/">https://elcomercio.pe/lima/sucesos/covid-19-gobierno-nacional-gasto-112-mas-en-la-compra-de-medicinas-no-recomendadas-que-en-oxigeno-ecdata-noticia/</ext-link>]. On the other hand, the Peruvian population was exposed to several infodemics about the effect of ivermectin on the COVID-19 virus.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
            </p>
            <p>This scenario likely led to the prescription and self-medication of ivermectin among the population of Chincha. Thus, the present study aimed to evaluate the frequency and factors associated with the use of ivermectin for COVID-19 in Chincha.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design and population</title>
                <p>A cross-sectional study was conducted between March 23 and June 21, 2021, in the province of Chincha, located in the Ica department, in southern Peru. This period involved the second wave of COVID-19 in Peru, during which the maximum peak and a decrease in the number of infections and deaths were observed [
                    <ext-link ext-link-type="uri" xlink:href="https://www.dge.gob.pe/portalnuevo/covid-19/covid-cajas/situacion-del-covid-19-en-el-peru/">https://www.dge.gob.pe/portalnuevo/covid-19/covid-cajas/situacion-del-covid-19-en-el-peru/</ext-link>].</p>
                <p>According to the last national census of population and housing conducted by the National Institute of Statistics and Informatics, the estimated population of Chincha is 226,113 inhabitants.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> The sample size calculation was carried out taking into account a confidence level (CI) of 95%, a margin of error of 5% and a percentage of variability of p = q = 50%. The sample size was 385 participants.</p>
            </sec>
            <sec id="sec4">
                <title>Selection of participants</title>
                <p>The inclusion criteria were people over 18 years of age who had adequately completed the survey, resided in Chincha, and who agreed to voluntarily sign the informed consent. The exclusion criteriuma was whether the participant used ivermectin as a therapeutic/prophylactic measure for a disease other than COVID-19. Participant selection was made using nonrandom sampling for convenience.</p>
            </sec>
            <sec id="sec5">
                <title>Outcomes and instruments</title>
                <p>A questionnaire was designed based on a review of the scientific literature and evaluated possible variables that could influence the use of ivermectin as a prophylactic or treatment for COVID-19 in the Peruvian population. The questionnaire was reviewed and discussed by a committee of experts that defined the variables and questions. The dichotomic questions showed a reliability coefficient of 0.709 measured using the KR-20 test.</p>
                <p>The questionnaire consisted of 16 questions (Table S1) divided into four sections. The first section consisted of six questions related to the participant&#x2019;s sociodemographic data: province, sex, age, marital status, educational level attained, and economic salary (calculated according to the current minimum salary in Peru: USD 232.50). In the second section of three questions, participants were asked if they had been diagnosed with COVID-19, what diagnostic tests had been performed, and if they had been in contact with people diagnosed with COVID-19.</p>
                <p>The third section consisted of six questions related to information collected on the use of ivermectin during the COVID-19 pandemic, whether it was prescribed by a doctor (or self-medicated), whether it was used for prophylactic reasons (to avoid developing symptoms of COVID-19 in case of contagion) or for therapeutic purposes (for the treatment of COVID-19 symptoms), in which period of the pandemic it was taken (March&#x2013;June 2020, July&#x2013;October 2020, and November 2020&#x2013;May 2021), and the source of access to ivermectin.</p>
                <p>In the fourth section of a single question, participants were asked if they had any comorbidity (obesity, diabetes, high blood pressure, or other diseases). Before the questionnaire, a section was added that included information about the objectives of the study, the anonymity of the responses, the confidentiality of data processing, the risks and benefits of participating in the study, and finally, informed consent.</p>
            </sec>
            <sec id="sec6">
                <title>Data collection</title>
                <p>The questionnaire was built in Google Forms and distributed virtually using social networks (Facebook, WhatsApp, and email). This e-survey was applied following the CHERRIES recommendations.
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> The recruitment process was free (open survey), and each visitor had the opportunity to participate in this study. The survey was shared in Spanish (official language in Peru). The technical functionality and usability were tested by the principal investigator (PI) before fielding the questionnaire. Furthermore, only the PI had access to data collected by the e-survey.</p>
            </sec>
            <sec id="sec7">
                <title>Statistical analysis</title>
                <p>The statistical analysis was carried out in four stages. In the first stage, the general characteristics of the population of the Chincha province were described in means and standard deviation for the quantitative variables, and frequency and percentage for the qualitative variables. In the second stage, a descriptive analysis of ivermectin usage during the COVID-19 pandemic was carried out. In the third stage, a bivariate analysis between covariates and ivermectin consumption was performed using the chi-square test. For the fourth stage, only the variables that presented a p&#x2009;&lt;&#x2009;0.05 in the bivariate analysis were considered for the robust Poisson regression model (step wise): age, marital status, education, COVID19 diagnosis, contact with people infected by SARS-CoV-2, and obesity. The degree of association was represented by a prevalence ratio (PR) with its respective 95% CI. Values of p &lt;&#x2009;0.05 were considered as significant. Data analysis was performed using IBM SPSS Statistics for Window (version 24.0, RRID:SCR_016479).</p>
            </sec>
            <sec id="sec8">
                <title>Ethical considerations</title>
                <p>The study was undertaken following the recommendations of the Declaration of Helsinki. Each participant provided signed informed consent. The research was approved by the Institutional Research Ethics Committee of San Juan Bautista Private University (Registry No. 062-2021-CIEI-UPSJB).</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <p>In total, 640 people answered the virtual survey. According to the selection criteria, 208 participants were excluded (see 
                <xref ref-type="fig" rid="f1">Figure 1</xref>); therefore, only 432 participants were selected for this study.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Flow diagram for the process of participant selection in the province of Chincha, Peru, during the COVID-19 pandemic.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/154030/8a817bec-3fdf-4e35-892c-1f8097176cf3_figure1.gif"/>
            </fig>
            <p>Among the participants, 65% (n = 281) were female, and 53.5% (n = 231) were between 18 and 29 years old. A total of 33.8% (n = 159) of the participants stated that they had been diagnosed with and had presented symptoms of COVID-19. The lateral flow immunoassay rapid test was the most widely used diagnostic test (33.1%, n = 143); 33.8% (n = 146) had a positive diagnosis and symptoms of COVID-19, and 67.8% (n = 293) reported having maintained contact with people diagnosed with COVID-19. Furthermore, 64.6% (n = 279) of the participants had at least one comorbidity: obesity (15.3%, n = 66), asthma (5.6%, n = 24), arterial hypertension (5, 1%, n = 22), diabetes mellitus (4.2%, n = 18), or cancer (0.7%, n = 3). The remaining characteristics are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Characteristics of the participants from the province of Chincha, Peru, during the COVID-19 pandemic.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">n</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Sex</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">Women</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">281</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">65</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Men</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">151</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="4" valign="middle">Age, years</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">18&#x2013;29</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">231</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">53.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30&#x2013;49</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">129</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">39.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;50</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">72</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="middle">Marital status</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Single</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">244</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Married</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">112</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Cohabiting</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">54</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="4" valign="middle">Education level</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Bachelor&#x2019;s degree or higher</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">268</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">62</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Technical</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Secondary or less</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">66</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="middle">Salary</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">&#x2265; four minimum wages</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">43</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Two to three minimum wages</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">128</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">29.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">One or fewer minimum wages</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">130</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Unemployed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">131</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="6" valign="middle">COVID-19 diagnosis</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">NoDx+NoS</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">111</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NoDx+S</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NeDx+NoS</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">94</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NeDx+S</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">PDx</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">146</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="6" valign="middle">Test type</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Lateral flow immunoassay</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">143</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">RT-PCR</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">48</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Both</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">66</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Other tests</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">None</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">159</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">36.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="4" valign="middle">Contact with people infected by SARS-CoV-2</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">50</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">293</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67.8</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">89</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Presence of comorbidities</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">279</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">64.6</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">153</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35.4</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Obesity</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">366</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">84.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">66</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Arterial hypertension</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">410</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">94.9</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.1</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="3" valign="middle">Diabetes</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">414</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">95.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.2</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>DEFINIR_ NoDx+NoS; NoDX+S; NeDx+NoS; NeDx+S; PDx; RT-PCR.</p>
                    <p>NoDx: no diagnosis, NoS: no symptoms related to COVID-19, S: symptoms related to COVID-19, NeDx: negative diagnosis, PDx: positive diagnosis.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Consumption of ivermectin due to the COVID-19 pandemic was reported by 67.6% (n = 292) of the participants. Of these, 20.20% (n&#x2009;=&#x2009;59) used ivermectin only for prophylactic purposes, while 41.79% (n&#x2009;=&#x2009;122) used it only as treatment for COVID-19, and 38.01% (n&#x2009;=&#x2009;111) used it for both reasons. Furthermore, 43.5% (n = 127) of these participants accessed this drug on prescription, while the remaining participants (56.5%, n = 165) self-medicated (see 
                <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Purpose of use, prescription, and self-medication among participants who used ivermectin (n&#x2009;=&#x2009;292).</title>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/154030/8a817bec-3fdf-4e35-892c-1f8097176cf3_figure2.gif"/>
            </fig>
            <p>When evaluating the period of the pandemic in which ivermectin was most consumed, it was observed that most of the participants who consumed ivermectin (52.39%; n = 153) did so during the period between November 2020 and March 2021 (second wave of COVID-19 in Peru) (see 
                <xref ref-type="fig" rid="f3">Figure 3A</xref>). Due to the use of ivermectin on several occasions, participants reported more than one period of ivermectin consumption. It was also found that the main source of access (n = 141, 48.28%) to this drug was a pharmacy (see 
                <xref ref-type="fig" rid="f3">Figure 3B</xref>).</p>
            <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                <label>Figure 3. </label>
                <caption>
                    <title>Period of consumption (A) and sources of access (B) to ivermectin among the population that took this drug (n = 292) in the province of Chincha, Peru, during the COVID-19 pandemic.</title>
                </caption>
                <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/154030/8a817bec-3fdf-4e35-892c-1f8097176cf3_figure3.gif"/>
            </fig>
            <p>In the bivariate analysis
                <italic toggle="yes">,</italic> age (p &lt;&#x2009;0.0001), marital status (p = 0.0001), education (p = 0.042), diagnosis of COVID-19 (p &lt;&#x2009;0.0001), being in contact with people with COVID-19 (p &lt;&#x2009;0.0001), and having obesity (p = 0.035) or diabetes (p = 0.049) were associated with ivermectin consumption for COVID-19 in participants from the Chincha province (see 
                <xref ref-type="table" rid="T2">Table 2</xref>).</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Bivariate and logistic regression analysis of the factors associated with the consumption of ivermectin among the population of the province of Chincha, Peru, during the COVID-19 pandemic.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="3" valign="top"/>
                            <th align="left" colspan="1" rowspan="3" valign="top"/>
                            <th align="left" colspan="8" rowspan="1" valign="top">Ivermectin consumption</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">No (n=140)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">Yes (n=292)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">p value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">p value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                        </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="1" rowspan="1" valign="top">n</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">(%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">PR [95% CI]</th>
                            <th align="left" colspan="1" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">aPR [95% CI]</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Sex</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Women</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">70.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">183</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">62.70%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.135
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Men</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">42</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">109</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">37.30%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Age</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18&#x2013;29 y</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">95</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">136</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">46.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.0001
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30&#x2013;49 y</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">96</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32.90%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.26 [1.09&#x2013;1.47]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.369</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.08 [0.91&#x2013;1.29]</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;50 y</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">60</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20.50%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.42 [1.21&#x2013;1.64]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.018</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.27 [1.04&#x2013;1.54]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Marital Status</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Single</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">70.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">146</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0001
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;0.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Married/cohabiting/others</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">42</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">146</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">50.00%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.30 [1.14&#x2013;1.48]</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Education level</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Bachelor degree or higher</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">70.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">170</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">58.20%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.035
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Technical</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.70%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">76</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26.00%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.22 [1.06&#x2013;1.41]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.037</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.16 [1.01&#x2013;1.34]</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Secondary or lesser</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14.30%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">46</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15.80%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 [0.91&#x2013;1.32]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.246</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.10 [0.93&#x2013;1.31]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Salary</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">One or fewer minimum wages or unemployed</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">53</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">37.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">118</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">40.40%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.640
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Two minimum wages or more</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">87</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">62.10%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">174</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59.60%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">COVID-19 diagnosis</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NeDx/NoDx + NoS</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">95</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">110</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">37.70%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.0001
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NeDx/NoDx + S</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14.30%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">61</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20.90%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.40 [1.17&#x2013;1.68]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.007</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.28 [1.07&#x2013;1.53]</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">PDx + S</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">121</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">41.40%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.54 [1.33&#x2013;1.79]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.38 [1.18&#x2013;1.61]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Contact with people infected by SARS-CoV-2</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">28</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">20.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.0001
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">79</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56.40%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">214</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">73.30%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.66 [1.20&#x2013;2.29]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.019</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.45 [1.06&#x2013;1.98]</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Does not know</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">33</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">23.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19.20%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.43 [1.01&#x2013;2.03]</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.117</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.31 [0.93&#x2013;1.83]</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Presence of comorbidities</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">95</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">67.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">184</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">63.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.325
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">32.10%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">108</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">37.00%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Obesity</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">126</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">90.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">240</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">82.20%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.035
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Ref</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&gt;0.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">14</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10.00%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">52</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">17.80%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.20 [1.04&#x2013;1.39]</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Arterial hypertension</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">136</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97.10%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">274</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">93.80%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.143
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.90%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6.20%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="10" rowspan="1" valign="middle">Diabetes</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">138</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">98.60%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">276</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">94.50%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.049
                                <xref ref-type="table-fn" rid="tfn1">*</xref>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NS</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.40%</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5.50%</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                            <td colspan="1" rowspan="1">&#x2009;</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>DEFINIR_ NoDx+NoS; NoDX+S; NeDx+NoS; NeDx+S; PDx; PR; aPR; CI; NS.</p>
                    <p>NoDx: no diagnosis, NoS: no symptoms related to COVID-19, S: symptoms related to COVID-19, NS: not significant, NeDx: negative diagnosis, PDx: positive diagnosis, PR: prevalence rate, aPR: prevalence rate adjusted for the variables age, marital status, education, COVID-19 diagnosis, contact with people infected by COVID-19 and obesity, Ref: Reference.</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>*</label>
                            <p>p value for the entire category.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <p>In the multivariate analysis, the model was built with the variables that presented a significant association in the bivariate analysis, except for the variable diabetes because a very low number of participants marked the box &#x2018;did not take ivermectin/had diabetes'. It was found that being &#x2265;50 years old (PR:&#x2009;1.27, 95% CI:&#x2009;1.04&#x2013;1.54), having a technical education level (PR:&#x2009;1.16, 95% CI:&#x2009;1.01&#x2013;1.34), having had symptoms of COVID-19 with negative/no diagnosis (PR:&#x2009;1.28, 95% CI: 1.07&#x2013;1.53) or positive diagnosis (PR:&#x2009;1.38, 95% CI:&#x2009;1.18&#x2013;1.61), or contact with infected people (PR:1.45, 95% CI:&#x2009;1.06&#x2013;1.98) were statistically associated with COVID-19 ivermectin usage (see 
                <xref ref-type="table" rid="T2">Table 2</xref>).</p>
        </sec>
        <sec id="sec10" sec-type="discussion">
            <title>Discussion</title>
            <p>During the COVID-19 pandemic, increasing prescription and self-medication of off-label drugs with unproven efficacy and safety to treat this disease have been described in many countries.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> In our study, the frequency of ivermectin consumption in the Chincha province was 67.2%, with more than 50% of participants self-medicating and 43.5% obtaining the drug by medical prescription.</p>
            <p>The frequency of ivermectin consumption among Chincha residents was similar to that described in a previous study in Peruvian patients prior to hospital admission (66.9%)
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup>; however, our data include a broader population (not only hospitalized COVID-19 patients). Most of the studies on ivermectin have focused on the evaluation of its efficacy in COVID-19 patients. Among epidemiological studies, we found only one other study that assessed the frequency of ivermectin use in the community. Nasir 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> reported that the prevalence of self-medication of ivermectin in the population of Dhaka City, Bangladesh, was 77.15%. Other studies on self-medication did not show the use of ivermectin in its population target.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> The high frequency of the use of ivermectin in the Dhaka and Chincha populations may be due to the low cost of this drug, misinformation and fear experienced during the COVID-19 pandemic.</p>
            <p>The prescription of ivermectin by physicians can be explained by the inclusion of this drug in the Peruvian treatment protocol for patients with COVID-19 in April 2020,
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> but it was not approved as prophylactic therapy (59.84% of all ivermectin prescriptions). It is possible that an infodemic about ivermectin encouraged Peruvian physicians to prescribe ivermectin as prophylactic treatment. On the other hand, unlike people who used ivermectin with a prescription at a safe dose, the management of ivermectin use by participants self-medicating could have been inappropriate. Although this antiparasite drug has an established safety profile for humans,
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> the use of ivermectin poses an elevated risk of severe neurotoxicity, which can even be fatal in some cases. Furthermore, there is not enough evidence on its safety in pregnant women.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> It is even possible that some participants who used self-medicated ivermectin could have confused this drug approved for humans with veterinary use ivermectin. Local news reported the use of ivermectin for veterinary use in some people in Chincha
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> and, in other regions of Peru. Two patients with COVID-19 that used veterinary-use ivermectin reported subcutaneous skin ulcers.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>This study describes the reasons for the use of ivermectin during the COVID-19 pandemic. It was found that, among participants who used ivermectin, almost 60% used this drug for prophylactic purposes. In Chincha, without scientific support, regional leaders encouraged the consumption of ivermectin as prophylactic therapy
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> when the plasma half-life was reported to be 12 to 66 hours.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> Furthermore, Vallejos 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> reported that ivermectin has no significant effect on preventing the hospitalization of patients with COVID-19. On the other hand, almost 80% of the participants who used ivermectin reported that it was used to treat symptoms of COVID-19, despite the lack of conclusive evidence of its clinical benefits.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> These practices could have generated a false sense of safety, increasing the number of contagions and hospitalizations for COVID-19 in the Chincha population.</p>
            <p>Although this was a cross-sectional study, we observed an increase in ivermectin consumption in the period from November 2020 to March 2021 compared with the early months of the COVID-19 pandemic in Peru. In addition, this drug appears to have had wide accessibility in Chincha. These results suggest that misleading information was increasingly spreading among the Peruvian population
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> and could have been associated with the increase in adverse drug use of ivermectin reported in Peru during 2021.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup>
            </p>
            <p>One of the factors associated with the consumption of ivermectin was people 50 years and older. This could be due to older adults, who had the highest burden of disease and a higher risk of death at the beginning of the COVID-19 pandemic,
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> leading this group to look for drug alternatives without proven benefits. In fact, with the belief that ivermectin would protect them from COVID-19, many people in this age group possibly did not apply adequate protective measures against this disease, increasing their risk of infection. This scenario could have contributed to high mortality rate observed in Chincha during the pandemic in Peru.</p>
            <p>Having a technical level of education was related to greater ivermectin usage compared with having a bachelor&#x2019;s degree or higher. This association was not observed in individuals with a secondary or lesser level of education. This phenomenon could be explained by these people having greater access to information than the general population but being less capable of interpreting the data, putting them at risk of ivermectin misuse.</p>
            <p>Other associated factors related to ivermectin use were having been diagnosed with COVID-19 or having been in contact with people diagnosed with COVID-19. This could be explained by the introduction of ivermectin in patients with COVID-19 in the guidelines developed by the Peruvian government, which recommended ivermectin as treatment in patients with COVID-19 from April 13 to October 12, 2020.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> This governmental recommendation was made despite the World Health Organization recommending not to use ivermectin in patients with COVID-19, except in clinical trials. In fact, to date, several clinical trials published on the efficacy of ivermectin, did not report any benefit in the prevention or treatment of COVID-19 with this drug.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Therefore, a drug that has not been demonstrated to be effective in a clinical trial should not be included in any guideline.</p>
            <p>This study has some limitations; first, due to limited resources and the need to generate information about the use of ivermectin, we performed a convenience sampling, which limits the generalization of these results. Second, we did not configure the online questionnaire to detect duplicate answers; and third, being a cross-sectional study, we could only describe correlations but not causality. As strengths, this is the first study to evaluate the frequency of ivermectin consumption in one of the Peruvian provinces with the highest mortality due to COVID-19.</p>
        </sec>
        <sec id="sec11" sec-type="conclusion">
            <title>Conclusion</title>
            <p>In conclusion, our results show that two-fifths of the population surveyed self-medicated with ivermectin and three-fifths used this drug at the presentation of symptoms. The main factors associated with the use of ivermectin for the prevention/treatment of COVID-19 were being 50 years or older, and in contact with people infected with SARS-CoV-2. In this context, it is important that government and media promote campaigns against misinformation about the use of ivermectin for the prevention or treatment of COVID-19.</p>
        </sec>
        <sec id="sec12">
            <title>Ethical considerations</title>
            <p>This study was approved by the Institutional Research Ethics Committee of San Juan Bautista Private University (Registry No. 062-2021-CIEI-UPSJB).</p>
        </sec>
        <sec id="sec13">
            <title>Consent</title>
            <p>Each participant provided written signed informed consent to take part in the survey.</p>
        </sec>
    </body>
    <back>
        <sec id="sec16" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec17">
                <title>Underlying data</title>
                <p>Harvard Dataverse: Database_ Ivermectin_Chincha_ Peru. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/YITF5T">https://doi.org/10.7910/DVN/YITF5T</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref31">31</xref>
</sup>
                </p>
                <p>The project contains the following underlying data:

                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Database_F1000 (questionnaire raw data) (questionnaire codes)
</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec18">
                <title>Extended data</title>
                <p>This project contains the following extended data:</p>
                <p>Harvard Dataverse: Database_ Ivermectin_Chincha_ Peru. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.7910/DVN/YITF5T">https://doi.org/10.7910/DVN/YITF5T</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref31">31</xref>
</sup>

                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Supplementary Table S1 (questionnaire)
</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
        </sec>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Zhou</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Yu</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Du</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study.</article-title>
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>2020</year>;<volume>395</volume>:<fpage>1054</fpage>&#x2013;<lpage>1062</lpage>.
                    <pub-id pub-id-type="pmid">32171076</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(20)30566-3</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7270627</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Flores L&#x00f3;pez</surname>
                            <given-names>MG</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Soto Tarazona</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>De La Cruz-Vargas</surname>
                            <given-names>JA</given-names>
                        </name>
</person-group>:
                    <article-title>Regional distribution of COVID-19 mortality in Peru.</article-title>
                    <source>

                        <italic toggle="yes">Rev La Fac Med Humana.</italic>
</source>
                    <year>2021</year>;<volume>21</volume>:<fpage>326</fpage>&#x2013;<lpage>334</lpage>.
                    <pub-id pub-id-type="doi">10.25176/rfmh.v21i2.3721</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="other">
                    <collab>Direcci&#x00f3;n Regional de Salud de Ica</collab>:
                    <article-title>Oficina de Epidemiolog&#x00ed;a. Sala de Situaci&#x00f3;n Covid-19 de Ica 2020 &#x2013; 2021. Ica.</article-title>
                    <year>2021</year>.</mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chirinos</surname>
                            <given-names>JA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Corrales-Medina</surname>
                            <given-names>VF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Heresi-D&#x00e1;vila</surname>
                            <given-names>G</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Sobre las recomendaciones del Ministerio de Salud para el tratamiento farmacol&#x00f3;gico de la COVID-19 en el Per&#x00fa;.</article-title>
                    <source>

                        <italic toggle="yes">Acta Med Peru.</italic>
</source>
                    <year>2020</year>;<volume>37</volume>:<fpage>231</fpage>&#x2013;<lpage>235</lpage>.
                    <pub-id pub-id-type="doi">10.35663/amp.2020.372.1030</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Taype-Rondan</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Herrera-A&#x00f1;azco</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>M&#x00e1;laga</surname>
                            <given-names>G</given-names>
                        </name>
</person-group>:
                    <article-title>Sobre la escasa transparencia en los documentos t&#x00e9;cnicos para el tratamiento de pacientes con COVID-19 en Per&#x00fa;.</article-title>
                    <source>

                        <italic toggle="yes">Acta Med Peru.</italic>
</source>
                    <year>2020</year>;<volume>37</volume>:<fpage>215</fpage>&#x2013;<lpage>222</lpage>.
                    <pub-id pub-id-type="doi">10.35663/amp.2020.372.982</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Reis</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Silva</surname>
                            <given-names>EASM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Silva</surname>
                            <given-names>DCM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Effect of Early Treatment with Ivermectin among Patients with Covid-19.</article-title>
                    <source>

                        <italic toggle="yes">N Engl J Med.</italic>
</source>
                    <year>2022</year>;<volume>386</volume>:<fpage>1721</fpage>&#x2013;<lpage>1731</lpage>.
                    <pub-id pub-id-type="pmid">35353979</pub-id>
                    <pub-id pub-id-type="doi">10.1056/NEJMoa2115869</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9006771</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vallejos</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zoni</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bangher</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Ivermectin to prevent hospitalizations in patients with COVID-19 (IVERCOR-COVID19) a randomized, double-blind, placebo-controlled trial.</article-title>
                    <source>

                        <italic toggle="yes">BMC Infect Dis.</italic>
</source>
                    <year>2021</year>;<volume>21</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>.
                    <pub-id pub-id-type="doi">10.1186/s12879-021-06348-5</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>L&#x00f3;pez-Medina</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>L&#x00f3;pez</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hurtado</surname>
                            <given-names>IC</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Effect of ivermectin on time to resolution of symptoms among adults with mild COVID-19: a randomized clinical trial.</article-title>
                    <source>

                        <italic toggle="yes">JAMA.</italic>
</source>
                    <year>2021</year>;<volume>325</volume>:<fpage>1426</fpage>&#x2013;<lpage>1435</lpage>.
                    <pub-id pub-id-type="pmid">33662102</pub-id>
                    <pub-id pub-id-type="doi">10.1001/jama.2021.3071</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7934083</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="other">
                    <collab>Ministerio de Salud</collab>:
                    <article-title>Diario Oficial Del Bicentenario El Peruano. Decreto de Urgencia N&#x00b0; 059-2020.</article-title>
                    <year>[Citado 10 de Mayo del 2021]</year>. n.d.
                    <ext-link ext-link-type="uri" xlink:href="https://www.gob.pe/institucion/mef/normas-legales/581003-059-2020">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Alvarez-Risco</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mejia</surname>
                            <given-names>CR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Delgado-Zegarra</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The Peru approach against the COVID-19 infodemic: Insights and strategies.</article-title>
                    <source>

                        <italic toggle="yes">Am J Trop Med Hyg.</italic>
</source>
                    <year>2020</year>;<volume>103</volume>:<fpage>583</fpage>&#x2013;<lpage>586</lpage>.
                    <pub-id pub-id-type="pmid">32500853</pub-id>
                    <pub-id pub-id-type="doi">10.4269/ajtmh.20-0536</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7410469</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="other">
                    <collab>Instituto Nacional de Estad&#x00ed;stica e Inform&#x00e1;tica</collab>:
                    <article-title>Resultados Definitivos del Departamento de Ica - Censo Nacional 2017.</article-title>
                    <year>2018</year>.</mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Quincho-Lopez</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Benites-Ibarra</surname>
                            <given-names>CA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hilario-Gomez</surname>
                            <given-names>MM</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Self-medication practices to prevent or manage COVID-19: A systematic review.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2021</year>;<volume>16</volume>.
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0259317</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ammassari</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Di Filippo</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Trotta</surname>
                            <given-names>MP</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comparison of Demand for Drugs Used for COVID-19 Treatment and Other Drugs During the Early Phase of the COVID-19 Pandemic in Italy.</article-title>
                    <source>

                        <italic toggle="yes">JAMA Netw Open.</italic>
</source>
                    <year>2021</year>;<volume>4</volume>:<fpage>e2037060</fpage>&#x2013;<lpage>e2037060</lpage>.
                    <pub-id pub-id-type="pmid">33555328</pub-id>
                    <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2020.37060</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7871193</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Fuentes-Gonzalez</surname>
                            <given-names>MF</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ordinola Navarro</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Carmona-Aguilera</surname>
                            <given-names>Z</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Outpatient prescription patterns of COVID-19 drugs in the metropolitan area of Mexico City.</article-title>
                    <source>

                        <italic toggle="yes">Fam Pract.</italic>
</source>
                    <year>2021</year>;<volume>39</volume>:<fpage>515</fpage>&#x2013;<lpage>518</lpage>.
                    <pub-id pub-id-type="pmid">34910137</pub-id>
                    <pub-id pub-id-type="doi">10.1093/fampra/cmab167</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8754814</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vaduganathan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Meijgaard</surname>
                            <given-names>J</given-names>
                            <prefix>van</prefix>
                        </name>

                        <name name-style="western">
                            <surname>Mehra</surname>
                            <given-names>MR</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prescription Fill Patterns for Commonly Used Drugs During the COVID-19 Pandemic in the United States.</article-title>
                    <source>

                        <italic toggle="yes">JAMA.</italic>
</source>
                    <year>2020</year>;<volume>323</volume>:<fpage>2524</fpage>&#x2013;<lpage>2526</lpage>.
                    <pub-id pub-id-type="pmid">32463459</pub-id>
                    <pub-id pub-id-type="doi">10.1001/jama.2020.9184</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7256862</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Zavala-Flores</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Salcedo-Matienzo</surname>
                            <given-names>J</given-names>
                        </name>
</person-group>:
                    <article-title>Pre-hospitalary medication in COVID-19 patients from a public hospital in Lima-Peru.</article-title>
                    <source>

                        <italic toggle="yes">Acta M&#x00e9;dica Peru.</italic>
</source>
                    <year>2020</year>;<volume>37</volume>:<fpage>393</fpage>&#x2013;<lpage>395</lpage>.
                    <pub-id pub-id-type="doi">10.35663/amp.2020.373.1277</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Nasir</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chowdhury</surname>
                            <given-names>ASMS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zahan</surname>
                            <given-names>T</given-names>
                        </name>
</person-group>:
                    <article-title>Self-medication during COVID-19 outbreak: a cross sectional online survey in Dhaka city.</article-title>
                    <source>

                        <italic toggle="yes">Int J Basic Clin Pharmacol.</italic>
</source>
                    <year>2020</year>;<volume>9</volume>:<fpage>1325</fpage>.
                    <pub-id pub-id-type="doi">10.18203/2319-2003.ijbcp20203522</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="other">
                    <collab>Ministerio de Salud del Per&#x00fa;</collab>:
                    <article-title>Prevenci&#x00f3;n, Diagn&#x00f3;stico y Tratamiento de personas afectadas por COVID-19 en el Per&#x00fa;. Resoluci&#x00f3;n Ministerial N&#x00b0; 193-2020-MINSA.</article-title>
                    <year>[Cited 17 May, 2020]</year>. n.d.
                    <ext-link ext-link-type="uri" xlink:href="https://www.gob.pe/institucion/minsa/normas-legales/473575-19">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="other">
                    <article-title>Pereyra Colchado G. Chincha, entre la ivermectina sin l&#x00ed;mites, y el golpe del COVID-19. El Comer 2021:15.</article-title>
                    <ext-link ext-link-type="uri" xlink:href="https://elcomercio.pe/peru/ica/chincha-entre-la-ivermectina-sin-limites-la-promesa-de-una-vacuna-y-el-golpe-del-covid-19-vacuna-peruana-manolo-fernandez-farvet-noticia/">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Makhani</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Khatib</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Corbeil</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>2018 in review: five hot topics in tropical medicine.</article-title>
                    <source>

                        <italic toggle="yes">Trop Dis Travel Med Vaccines.</italic>
</source>
                    <year>2019</year>;<volume>5</volume>:<fpage>5</fpage>.
                    <pub-id pub-id-type="pmid">31016025</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s40794-019-0082-z</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6466725</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ramal-Asayag</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Espinoza-Venegas</surname>
                            <given-names>LA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Celis-Salinas</surname>
                            <given-names>JC</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Skin ulcer due to subcutaneous ivermectin in the treatment of COVID-19.</article-title>
                    <source>

                        <italic toggle="yes">Rev La Soc Peru Med Interna.</italic>
</source>
                    <year>2020</year>;<volume>33</volume>:<fpage>88</fpage>.
                    <pub-id pub-id-type="doi">10.36393/spmi.v33i2.526</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Edwards</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dingsdale</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Helsby</surname>
                            <given-names>N</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The relative systemic availability of ivermectin after administration as capsule, tablet, and oral solution.</article-title>
                    <source>

                        <italic toggle="yes">Eur J Clin Pharmacol.</italic>
</source>
                    <year>1988</year>;<volume>35</volume>:<fpage>681</fpage>&#x2013;<lpage>684</lpage>.
                    <pub-id pub-id-type="doi">10.1007/BF00637608</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Guzzo</surname>
                            <given-names>CA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Furtek</surname>
                            <given-names>CI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Porras</surname>
                            <given-names>AG</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Safety, tolerability, and pharmacokinetics of escalating high doses of ivermectin in healthy adult subjects.</article-title>
                    <source>

                        <italic toggle="yes">J Clin Pharmacol.</italic>
</source>
                    <year>2002</year>;<volume>42</volume>:<fpage>1122</fpage>&#x2013;<lpage>1133</lpage>.
                    <pub-id pub-id-type="pmid">12362927</pub-id>
                    <pub-id pub-id-type="doi">10.1177/009127002401382731</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Deng</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhou</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ali</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Efficacy and safety of ivermectin for the treatment of COVID-19: a systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">QJM.</italic>
</source>
                    <year>2021</year>;<volume>114</volume>:<fpage>721</fpage>&#x2013;<lpage>732</lpage>.
                    <pub-id pub-id-type="pmid">34570241</pub-id>
                    <pub-id pub-id-type="doi">10.1093/qjmed/hcab247</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8500108</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Popp</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Reis</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hausinger</surname>
                            <given-names>R</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Ivermectin for preventing and treating COVID-19.</article-title>
                    <source>

                        <italic toggle="yes">Cochrane Database Syst Rev.</italic>
</source>
                    <year>2021</year>;<volume>2021</volume>:<fpage>CD015017</fpage>.
                    <pub-id pub-id-type="pmid">34318930</pub-id>
                    <pub-id pub-id-type="doi">10.1002/14651858.CD015017.pub2</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8406455</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Robins-Early</surname>
                            <given-names>N</given-names>
                        </name>
</person-group>:
                    <article-title>Desperation, misinformation: how the ivermectin craze spread across the world. Guard.</article-title>
                    <year>2021</year>.</mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="other">
                    <article-title>Instituto de Evaluaci&#x00f3;n de Tecnolog&#x00ed;as en Salud e Investigaci&#x00f3;n - ESSALUD. Reporte de Farmacovigilancia n&#x00b0;01-2021: &#x201c;Seguridad post-marketing de ivermectina.&#x201d;.</article-title>
                    <year>2021</year>.</mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Williamson</surname>
                            <given-names>EJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Walker</surname>
                            <given-names>AJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bhaskaran</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Factors associated with COVID-19-related death using OpenSAFELY.</article-title>
                    <source>

                        <italic toggle="yes">Nature.</italic>
</source>
                    <year>2020</year>;<volume>584</volume>:<fpage>430</fpage>&#x2013;<lpage>436</lpage>.
                    <pub-id pub-id-type="doi">10.1038/s41586-020-2521-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Munayco</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chowell</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tariq</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk of death by age and gender from CoVID-19 in Peru, March-May, 2020.</article-title>
                    <source>

                        <italic toggle="yes">Aging (Albany NY).</italic>
</source>
                    <year>2020</year>;<volume>12</volume>:<fpage>13869</fpage>&#x2013;<lpage>13881</lpage>.
                    <pub-id pub-id-type="doi">10.18632/aging.103687</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref30">
                <label>30</label>
                <mixed-citation publication-type="other">
                    <collab>Ministerio de Salud</collab>:
                    <article-title>Resoluci&#x00f3;n Ministerial N&#x00b0; 839-2020-MINSA.</article-title>
                    <year>[Cited 20 July, 2021]</year>. n.d.
                    <ext-link ext-link-type="uri" xlink:href="https://www.gob.pe/institucion/minsa/normas-legales/1264399-839-2020-minsa">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref31">
                <label>31</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Salvador-Carrillo</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Campos-Loza</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Guillen-Carbajal</surname>
                            <given-names>D</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Use of ivermectin and factors associated with the prevention and/or treatment of COVID-19: a cross-sectional online survey in the province of Chincha, Peru.</article-title>
                    <source>

                        <italic toggle="yes">Harvard Dataverse.</italic>
</source>
                    <pub-id pub-id-type="doi">10.7910/DVN/YITF5T</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report212719">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.154030.r212719</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Lozada</surname>
                        <given-names>Oriana Rivera</given-names>
                    </name>
                    <xref ref-type="aff" rid="r212719a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6546-3570</uri>
                </contrib>
                <aff id="r212719a1">
                    <label>1</label>South American Center for Education and Research in Public Health, Universidad Privada Norbert Wiener, Lima, Peru</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>3</day>
                <month>1</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Lozada OR</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="relatedArticleReport212719" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.128675.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The proposed study is quite interesting and is a very relevant topic during the pandemic era. The methodology is adequate for the purpose of the study. As suggestions: 
                <list list-type="order">
                    <list-item>
                        <p>In the introduction, an international reference on the use of Ivermectin in other countries could be added.</p>
                    </list-item>
                    <list-item>
                        <p>Methodology: This is OK.</p>
                    </list-item>
                    <list-item>
                        <p>Results: OK</p>
                    </list-item>
                    <list-item>
                        <p>Discussion: could be expanded with other international studies.</p>
                    </list-item>
                    <list-item>
                        <p>Conclusion: OK.</p>
                    </list-item>
                </list>
            </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>Public Health and Epidemiology</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="report201271">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.154030.r201271</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ku</surname>
                        <given-names>Gabriel Antonio De la Cruz</given-names>
                    </name>
                    <xref ref-type="aff" rid="r201271a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r201271a1">
                    <label>1</label>General Surgery, UMass Memorial Health, Worcester, Massachusetts, USA</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>31</day>
                <month>8</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Ku GADlC</copyright-statement>
                <copyright-year>2023</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="relatedArticleReport201271" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.128675.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Observations have been reviewed and corrected. The article is in correct form for indexing.</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>Epidemiology, Oncology, Surgery</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="report183648">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.141288.r183648</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ku</surname>
                        <given-names>Gabriel Antonio De la Cruz</given-names>
                    </name>
                    <xref ref-type="aff" rid="r183648a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r183648a1">
                    <label>1</label>General Surgery, UMass Memorial Health, Worcester, Massachusetts, USA</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>28</day>
                <month>7</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Ku GADlC</copyright-statement>
                <copyright-year>2023</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="relatedArticleReport183648" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.128675.1"/>
            <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>Authors have shown in their cross-sectional study that during the second wave of COVID-19 in Chincha, Peru, the use of ivermectin was associated to age older or equal than 50 years old, technical education level, positive symptoms of COVID with negative or no diagnosis or positive diagnosis, and contact with infected people.</p>
            <p> </p>
            <p> In general, this is an interesting study that should be indexed, as it showed the factors associated with the consumption of this medication during one of highest waves of COVID. I recommend some adjustments on language and minimal corrections and comments below.&#x00a0;</p>
            <p> </p>
            <p> In the abstract - results, please, list the factors associated with consumption of ivermectin with comas and "and", instead of "or". Please, do not repeat "having had" and consider "positive".</p>
            <p> </p>
            <p> Introduction: Good</p>
            <p> </p>
            <p> Methods: 
                <list list-type="bullet">
                    <list-item>
                        <p>Please include the year of the last national census.</p>
                    </list-item>
                    <list-item>
                        <p>Please correct "exclusion criteria" instead of "exclusion criterion"</p>
                    </list-item>
                </list> </p>
            <p> Result: Good</p>
            <p> </p>
            <p> Discussion:&#x00a0; 
                <list list-type="bullet">
                    <list-item>
                        <p>Please correct:&#x00a0;Other studies on self-medication did not show the use of ivermectin in its population target to "target population".</p>
                    </list-item>
                    <list-item>
                        <p>Please refer the dose of ivermectin in mcg/kg, instead of drops/kg.</p>
                    </list-item>
                    <list-item>
                        <p>Please provide a better explanation about the technical education related to more use of ivermectin.</p>
                    </list-item>
                </list> </p>
            <p> Conclusion: Good</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>Epidemiology, Oncology, Surgery</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>
