<?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.168822.1</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>Prevalence of Asymptomatic Bacteriuria Among People Living Imo State, Nigeria</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations, 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>E. Emeka,</surname>
                        <given-names>Ikechukwu</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>El-Clare Alaneme</surname>
                        <given-names>Chinazom</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</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/">Resources</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>H. Njoku,</surname>
                        <given-names>Akudo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>J. Ofoegbu</surname>
                        <given-names>Chukwudi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0486-6584</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chukwuemeka Njemanze,</surname>
                        <given-names>Canice</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Favour Ikpor</surname>
                        <given-names>Amarachi</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <uri content-type="orcid">https://orcid.org/0009-0008-0775-5891</uri>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Y. Vincent</surname>
                        <given-names>Pretty</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Agunloye</surname>
                        <given-names>Mary Olaoluwa</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Dominic Terkimbi</surname>
                        <given-names>Swase</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4205-1880</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Microbiology, Federal University of Technology Owerri, Owerri, Imo, 124, Nigeria</aff>
                <aff id="a2">
                    <label>2</label>Department of Science Laboratory Technology, Federal College of Land Resources Technology, Owerri, Omo, 123, Nigeria</aff>
                <aff id="a3">
                    <label>3</label>Department of Science Laboratory Technology, Federal University of Technology Owerri, Owerri, Imo, 123, Nigeria</aff>
                <aff id="a4">
                    <label>4</label>Department of Biochemistry, Alex Ekwueme Federal University Ndufu-Alike, Ikwo, Ebonyi, 123, Nigeria</aff>
                <aff id="a5">
                    <label>5</label>Department of Physics (Radiation and Health), Federal University of Technology Owerri, Owerri, Imo, 124, Nigeria</aff>
                <aff id="a6">
                    <label>6</label>Department of Educational Psychology, Guidance and Counselling, University of Port Harcourt, Choba, Rivers, 123, Nigeria</aff>
                <aff id="a7">
                    <label>7</label>Department of Physiology, Kampala International University - Western Campus, Bushenyi, Western Region, 124, Uganda</aff>
                <aff id="a8">
                    <label>8</label>Department of Biochemistry, Kampala International University - Western Campus, Bushenyi, Western Region, 124, Uganda</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:princeswasedominic@gmail.com">princeswasedominic@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>6</day>
                <month>11</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>1220</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>25</day>
                    <month>10</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 E. Emeka, I et al.</copyright-statement>
                <copyright-year>2025</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/14-1220/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Asymptomatic bacteriuria (ASB) is an under-recognized clinical condition, particularly in low-resource settings, with significant implications for antimicrobial resistance and public health. This study investigated the prevalence, microbial profile, and antibiotic susceptibility patterns of ASB among individuals residing in public housing in Obinze, Imo State, Nigeria.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A descriptive cross-sectional study was conducted with 150 randomly selected asymptomatic individuals. Structured questionnaires were used to collect sociodemographic data, assess hygiene practices, and evaluate ASB awareness. Midstream urine samples were collected and subjected to standard microbiological analyses, including culture, gram staining, and biochemical tests. The isolates were tested for antibiotic susceptibility using the Kirby-Bauer disc diffusion method. The data were analyzed using SPSS version 28.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>A total of 75 bacterial isolates were recovered. 
                        <italic toggle="yes">Escherichia coli</italic> was the most prevalent organism (56%), followed by 
                        <italic toggle="yes">Staphylococcus aureus</italic> (28%), 
                        <italic toggle="yes">Enterococcus spp.</italic>, 
                        <italic toggle="yes">Pseudomonas aeruginosa</italic> (6.7% each), and 
                        <italic toggle="yes">Klebsiella spp.</italic> (2.6%). Most participants exhibited poor awareness of ASB, with only 2% accurately identifying its diagnostic threshold. Hygiene practices varied, with a high proportion reporting inappropriate genital cleaning methods and urination in public spaces due to a lack of sanitation facilities. Antibiotic resistance was observed among the isolates, highlighting the potential threat of community-based reservoirs for resistant strains.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>This study revealed a high burden of ASB and identified critical gaps in public awareness, hygiene practices, and sanitation infrastructure. These findings underscore the urgent need for targeted health education, routine ASB screening, improved sanitation, and antibiotic stewardship programs to mitigate public health risks in similar settings.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Asymptomatic Bacteriuria</kwd>
                <kwd>Antibiotic Resistance</kwd>
                <kwd>Escherichia coli</kwd>
                <kwd>Public Health and Urinary Tract Infections</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Not Applicable</funding-source>
                    <award-id>NotApplicable</award-id>
                </award-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <def-list>
            <title>List of abbreviations</title>
            <def-item>
                <term id="G9">AMR</term>
                <def>
                    <p>Antimicrobial Resistance</p>
                </def>
            </def-item>
            <def-item>
                <term id="G1">ASB</term>
                <def>
                    <p>Asymptomatic Bacteriuria</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">BCC</term>
                <def>
                    <p>Behavior Change Communication</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">CFU</term>
                <def>
                    <p>Colony Forming Units</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">FUTO</term>
                <def>
                    <p>Federal University of Technology Owerri</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">LMICs</term>
                <def>
                    <p>Low- and Middle-Income Countries</p>
                </def>
            </def-item>
            <def-item>
                <term id="G3">MDR</term>
                <def>
                    <p>Multidrug Resistance</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">NAP-AMR
</term>
                <def>
                    <p>National Action Plan on Antimicrobial Resistance</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">SDG</term>
                <def>
                    <p>Sustainable Development Goals</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">SPSS</term>
                <def>
                    <p>Statistical Package for the Social Sciences</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">UTI</term>
                <def>
                    <p>Urinary Tract Infection</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">WASH</term>
                <def>
                    <p>Water Sanitation and Hygiene</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">WHO</term>
                <def>
                    <p>World Health Organization</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec5">
            <title>Summary of the key findings</title>
            <p>

                <list list-type="bullet">
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>The study found a 100% prevalence of asymptomatic bacteriuria among participants, confirming that it is a widespread but silent condition in the study area.</p>
                    </list-item>
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>A total of 75 bacterial isolates were recovered from 50 urine samples, indicating a high level of polymicrobial colonization within the population.</p>
                    </list-item>
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>

                            <italic toggle="yes">Escherichia coli</italic> was identified as the most prevalent uropathogen, accounting for 56% of the isolates, followed by 
                            <italic toggle="yes">Staphylococcus aureus</italic> at 28%, suggesting both enteric and environmental sources of infection.</p>
                    </list-item>
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>Awareness of asymptomatic bacteriuria was critically low, with only 2% of participants correctly identifying the diagnostic threshold, reflecting a significant knowledge gap.</p>
                    </list-item>
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>Hygiene and sanitation practices were generally poor, with widespread reports of public urination and improper genital cleansing methods among the participants.</p>
                    </list-item>
                    <list-item>
                        <label>&#x25cb;</label>
                        <p>Antibiotic susceptibility testing revealed notable levels of multidrug resistance, particularly among 
                            <italic toggle="yes">E. coli</italic> and 
                            <italic toggle="yes">S. aureus</italic> isolates, indicating a growing threat of antimicrobial resistance at the community level.</p>
                    </list-item>
                </list>
            </p>
        </sec>
        <sec id="sec6" sec-type="intro">
            <title>Introduction</title>
            <p>Urinary tract infections (UTIs) continue to represent one of the most common bacterial infections globally, affecting individuals across all age groups and sexes (
                <xref ref-type="bibr" rid="ref35">Zhou et al., 2023</xref>). However, within the spectrum of UTIs lies a frequently overlooked condition asymptomatic bacteriuria (ASB) which remains largely undetected and underreported, particularly in low-resource settings (
                <xref ref-type="bibr" rid="ref7">Chowdhury et al., 2024</xref>). Despite the absence of clinical symptoms, ASB can pose significant health risks, especially among vulnerable populations, such as pregnant women, individuals with diabetes mellitus, older adults, and immunocompromised patients. In these groups, persistence of bacterial colonization in the urinary tract without intervention has been associated with adverse outcomes. This includes pyelonephritis, preterm birth, low birth weight, and systemic infections, such as urosepsis (
                <xref ref-type="bibr" rid="ref27">Schneeberger et al., 2014</xref>).</p>
            <p>The neglect of asymptomatic bacteriuria (ASB) in public health policies and clinical guidelines is partly due to limited awareness and the absence of robust surveillance systems in many low- and middle-income countries (LMICs) (
                <xref ref-type="bibr" rid="ref1">Alhassan &amp; Wills, 2024</xref>). In regions such as sub-Saharan Africa, diagnostic services are often centralized, and routine urine culture screening is not commonly practiced owing to cost constraints, workforce shortages, and infrastructural limitations (
                <xref ref-type="bibr" rid="ref30">UROKO &amp; Morgan, 2024</xref>). These challenges are compounded by the widespread availability of over-the-counter antibiotics and high levels of self-medication, which promote the misuse of antimicrobials and contribute to the global threat of antimicrobial resistance (AMR) (
                <xref ref-type="bibr" rid="ref22">Ofori et al., 2024</xref>).</p>
            <p>The World Health Organization (
                <xref ref-type="bibr" rid="ref33">WHO, 2019</xref>) has highlighted the urgent need for local epidemiological data to guide antimicrobial stewardship efforts and promote rational prescription practices. Similarly, the Centers for Disease Control and Prevention (
                <xref ref-type="bibr" rid="ref36">CDC, 2022</xref>) emphasize the role of undiagnosed or inappropriately treated infections, such as ASB, as hidden drivers of antimicrobial resistance (
                <xref ref-type="bibr" rid="ref25">Salam et al., 2023</xref>). Without accurate baseline data on the prevalence of ASB and resistance profiles of uropathogens, healthcare providers in LMICs are often forced to rely on empirical therapies that may be ineffective, thereby promoting resistance patterns and compromising patient outcomes (
                <xref ref-type="bibr" rid="ref27">Schneeberger et al., 2014</xref>).</p>
            <p>In Nigeria, most studies on ASB have focused narrowly on specific subpopulations, particularly antenatal women and HIV-positive individuals, and have been conducted predominantly in tertiary health facilities (
                <xref ref-type="bibr" rid="ref26">Salihu et al., 2025</xref>). While these studies provide valuable insights, they do not reflect the broader population-level burden of ASB. This is especially true in semi-urban and peri-urban communities, where access to healthcare is variable and water sanitation is often inadequate. In such settings, environmental and behavioral risk factors, including poor personal hygiene, the use of untreated water, and limited healthcare-seeking behavior, can facilitate urinary tract colonization and bacterial persistence (
                <xref ref-type="bibr" rid="ref10">Dickson-Gomez et al., 2023</xref>).</p>
            <p>Imo State in southeastern Nigeria presents a relevant case for such an investigation. It comprises a mix of urban and semi-rural settlements, with varied levels of healthcare access and sanitation infrastructure (
                <xref ref-type="bibr" rid="ref30">UROKO &amp; Morgan, 2024</xref>). However, data on the prevalence and antimicrobial susceptibility of ASBs in the general population remain scarce. A comprehensive understanding of the local burden of asymptomatic bacteriuria is critical for designing evidence-based screening programs and for informing empirical treatment guidelines. This is important for developing context-specific strategies to combat AMR and improve patient outcomes (
                <xref ref-type="bibr" rid="ref23">Ogbonna et al., 2024</xref>).</p>
            <p>This study was undertaken to determine the prevalence of asymptomatic bacteriuria among individuals in Imo State and to analyze the antimicrobial susceptibility patterns of isolated uropathogens. The results will provide much-needed epidemiological evidence to support clinical decision-making and public health policy in Nigeria and in similar LMIC contexts.</p>
        </sec>
        <sec id="sec7">
            <title>Materials and method</title>
            <sec id="sec8">
                <title>Study design</title>
                <p>This study adopted a descriptive cross-sectional design and was conducted between November 2024 and March 2025. This study aimed to determine the prevalence and antibiotic susceptibility patterns of asymptomatic bacteriuria (ASB) among individuals residing in public housing compounds in the Obinze, Owerri West Local Government Area of Imo State, Nigeria. A cross-sectional approach was chosen to provide a snapshot of the microbial and behavioral characteristics related to ASB within the study population at a single point in time. A total of 150 participants were selected using simple random sampling. Data were collected using structured questionnaires.</p>
            </sec>
            <sec id="sec9">
                <title>Study area</title>
                <p>This study was conducted in Obinze, a semi-urban community located in the Owerri West Local Government Area of Imo State, southeastern Nigeria. Geographically, the community lies along the Owerri&#x2013;Port Harcourt Expressway, approximately 3.5 kilometers from Avu, and is positioned at latitude 5&#x00b0;25&#x2032;N and longitude 6&#x00b0;50&#x2032;E, with an elevation of 61 meters above sea level. Obinze consists of several villages and shares borders with surrounding communities, such as Oforola, Avu, Ihiagwa, Eziobodo, Umuokanne, Nekede, and Mbirichi. The area hosts key institutions, including the 34 Artillery Brigade Nigerian Army Base and the Federal University of Technology Owerri (FUTO), which contribute to its growing urban influence. Residential patterns vary across communities, with some households relying on shared sanitation facilities and others occupying self-contained housing units. The predominant economic activities include subsistence farming and petty trading, which reflect the community&#x2019;s semi-urban character and socioeconomic diversity. These environmental and demographic characteristics particularly inconsistent access to sanitation and varied living conditions make Obinze a suitable setting for studying the prevalence of asymptomatic bacteriuria and its associated risk factors within a population at potential risk of undiagnosed urinary tract colonization.</p>
            </sec>
            <sec id="sec10">
                <title>Materials and equipment used</title>
                <p>A comprehensive range of materials and equipment were employed during the experimental procedures to facilitate the accurate collection, handling, and microbiological analysis of urine samples. Urine specimens were obtained from individuals residing in public housing using sterile wide-mouth urine containers (Sterilin&#x2122;, Thermo Fisher Scientific, Cat. No. 128A) to ensure aseptic sample collection. Each container was labeled using markers, masking tape, and adhesive stickers for proper sample identification and traceability. Standard laboratory equipment included conical flasks, beakers, syringes (5 ml, BD Plastipak&#x2122;, Cat. No. 300185), test tubes (Borosil
                    <sup>&#x00ae;</sup>, Cat. No. 9820U06), test tube racks, Petri dishes (90 mm, Greiner Bio-One, Cat. No. 633102), and inoculating wire loops. Disposable nitrile gloves were consistently used to maintain sterility and protect personnel. Microbiological analyses were conducted using cysteine lactose electrolyte-deficient (CLED) (Oxoid&#x2122;, Thermo Fisher Scientific, Cat. No. CM301) agar to isolate and differentiate urinary tract pathogens. The core analytical instruments included a compound light microscope (Olympus CX23), for microbial observation, an incubator (Memmert IN30, 37&#x00b0;C), to support controlled bacterial growth, a centrifuge (Hettich Rotina 420R), for sediment separation, and an autoclave (All American 25X, 121&#x00b0;C, 15 psi) for sterilization of reusable materials and media. Distilled water (Milli-Q
                    <sup>&#x00ae;</sup>, Merck Millipore) was used for the preparation of reagents and for cleaning purposes. All the materials and equipment were thoroughly cleaned, sterilized, and appropriately preserved to ensure the validity and reliability of the experimental outcomes.</p>
            </sec>
            <sec id="sec11">
                <title>Size of the representative samples</title>
                <p>The representative sample consisted of 150 urine specimens. These samples were carefully collected randomly from households that lived in public compounds in Obinze. The number of samples collected was determined using Cochran&#x2019;s formula for prevalence, and experimental and epidemiological studies. The nearest estimated proportion used for this study was that used by (
                    <xref ref-type="bibr" rid="ref12">Elo-Ilo et al., 2013</xref>) in carrying out the prevalence of asymptomatic bacteriuria among preschool children in Nnewi in South-East Nigeria.</p>
            </sec>
            <sec id="sec12">
                <title>Urine specimen preparation</title>
                <p>Each urine specimen (10&#x2013;20 ml) was transferred into labeled test tubes and centrifuged at 2000 rpm for 15 min using a laboratory centrifuge. Following centrifugation, the supernatant was carefully decanted and discarded, and the sediment (pellet) was retained for microscopic examination and bacteriological analysis.</p>
            </sec>
            <sec id="sec13">
                <title>Preparation of the culture media used for the study</title>
                <p>The cysteine lactose electrolyte-deficient medium (Oxoid&#x2122;, CM301, 36 g/L) was prepared according to the manufacturer&#x2019;s specifications and according to the method used by (
                    <xref ref-type="bibr" rid="ref2">Bale et al., 2023</xref>). The agar medium was autoclaved at 121
                    <sup>o</sup>C&#x00b0;C for 15 min at 15 psi and then allowed to cool. About 15-20 ml of the prepared molten agar was dispensed into disposable petri dishes when the temperature was reduced to approximately 45
                    <sup>o</sup>C&#x00b0;C. They were allowed to set and ready for inoculation.</p>
            </sec>
            <sec id="sec14">
                <title>Analysis of the urine sample</title>
                <p>A total of (150) urine samples were examined using standard methods. First, the urine samples were serially diluted. From a suitable dilution factor (10
                    <sup>&#x2212;5</sup>), a sterile wire loop was used to carefully collect about 0.01 ml of the pellets of the urine sample and was used to inoculate the cysteine-lactose electrolyte deficient (CLED) using streaking method (
                    <xref ref-type="bibr" rid="ref3">Bashir et al., 2016</xref>). The culture plates were incubated under aerobic conditions at 37&#x00b0;C for 24 h. Plates without visible growth were further incubated for an additional 24 h before they were discarded. The number and types of colonies grown in the media were recorded as insignificant when the samples had a colony count of less than 10
                    <sup>4</sup> CFU/ml. Samples with a colony count equal to or greater than approximately 10
                    <sup>5</sup> CFU ml of urine samples were considered to have significant bacteriuria. The bacterial isolates were identified based on a combination of cultural, morphological, and biochemical characteristics. The physiological characteristics of the colonies and their numbers on the culture plates were used as the basis for counting, taking into consideration their dilution number. Counts were made from plates containing 30-300 colonies which were according to the standard (
                    <xref ref-type="bibr" rid="ref3">Bashir et al., 2016</xref>). Isolated microorganisms were subjected to Gram staining and biochemical tests to confirm them.</p>
                <p>

                    <bold>Urinalysis with Combi 9 stripe:</bold> After processing the urine samples, the combination of 9 stripes (Roche Diagnostics, Cat. No. 11894489216) was inserted aseptically into the urine samples, which were then observed and compared to the standard to determine the normality or abnormality of the following parameters: 
                    <bold>glucose, ketones, protein, blood, nitrite, pH, ascorbic acid, urobilinogen, and bilirubin.</bold>
                </p>
            </sec>
            <sec id="sec15">
                <title>Microscopy and gram staining</title>
                <p>Gram-staining was used to differentiate bacterial isolates into gram-positive and gram-negative bacteria. For the Gram staining process, clean slides were taken. A well-sterilized wire loop was used to make a smear on the slides, which were air-dried and fixed using heat. Crystal violet was poured on the slide, incubated for 1 min, and washed thoroughly with tap water. Gram iodine was used to flood the smear, allowed to stand for 1 min, and rinsed with tap water before re-flooding with 95% alcohol. The slides were allowed to stand for 15&#x2013;20 s and then washed with tap water. Then, the secondary dye, safranin, was applied to the smear, allowed to stand for 1 min, and then rinsed with water. The slides were allowed to stand in normal air and then examined under a microscope with oil immersion at &#x00d7;100 magnification. Staining enabled the differentiation of the bacteria into gram-positive and gram-negative bacteria. The procedure was performed according to the method described by Chessbrough et al. (
                    <xref ref-type="bibr" rid="ref6">Carrillo et al., 2015</xref>).</p>
                <p>

                    <bold>Biochemical tests</bold> few biochemical tests were performed to confirm the microorganisms isolated from the urine samples.
                    <list list-type="alpha-lower">
                        <list-item>
                            <label>a.</label>
                            <p>

                                <bold>Indole test:</bold> This was performed using Kovac&#x2019;s reagent (Sigma-Aldrich, Cat. No. K2252) as adopted by (
                                <xref ref-type="bibr" rid="ref6">Carrillo et al., 2015</xref>). The test was conducted over a 24-hour period. Bacterial isolates were first cultured in peptone water, after which 0.5 ml of Kovac&#x2019;s reagent was added. The mixture was gently shaken and observed after one minute for the development of a red color, which indicated a positive reaction. Escherichia coli (ATCC 25922) was used as the positive control.</p>
                        </list-item>
                        <list-item>
                            <label>b.</label>
                            <p>

                                <bold>Coagulase test:</bold> The coagulase test was performed using the sliding method. A drop of normal saline was applied to each end of a clean grease-free slide. A colony of test isolates was collected using a sterile wire loop and emulsified with a drop of normal saline at each end to create two thick suspensions. A loopful of fresh human plasma was added to one end of the suspension, which was gently stirred using a sterile wire loop. In contrast, the suspension remained under the control. This was verified for clumping. 
                                <italic toggle="yes">Staphylococcus aureus</italic> (ATCC 25923) was used as a positive control was established using 
                                <italic toggle="yes">Staphylococcus aureus.</italic>
                            </p>
                        </list-item>
                        <list-item>
                            <label>c.</label>
                            <p>

                                <bold>Catalase test:</bold> The catalase test was performed as previously described (
                                <xref ref-type="bibr" rid="ref16">Maori et al., 2013</xref>). A colony of each gram-positive isolate was emulsified in distilled water on a clean grease-free slide on a petri plate. Two drops of hydrogen peroxide solution (Merck, Cat. No. H1009) were added, and effervescence was checked. Effervescence confirmed the presence of the tested organisms.</p>
                        </list-item>
                        <list-item>
                            <label>d.</label>
                            <p>

                                <bold>Oxidase test:</bold> This assay was carried out using the oxidase reagent described previously (
                                <xref ref-type="bibr" rid="ref6">Carrillo et al., 2015</xref>). Two drops of freshly (Sigma-Aldrich, Cat. No. T3134) prepared oxidase reagent (1% aqueous tetramethyl-p-phenylenediamine hydrochloride solution) were placed on a piece of filter paper. A part of the colony of the bacterial isolate was collected using one end of sterile grease-free glass slide, smeared across the filter paper impregnated with the oxidase reagent, and observed for deep purple color within 10 seconds.</p>
                        </list-item>
                        <list-item>
                            <label>e.</label>
                            <p>

                                <bold>Citrate utilization test:</bold> This was carried out with Simmon&#x2019;s citrate agar (HiMedia, Cat. No. M099), as described previously (
                                <xref ref-type="bibr" rid="ref16">Maori et al., 2013</xref>). A light suspension of the bacterial isolate was prepared in normal saline (NS). Using a straight sterile wire, the suspension was stab-inoculated into Simmon&#x2019;s citrate agar and incubated overnight. This was examined for characteristic blue color, indicating growth. Positive and negative controls were 
                                <italic toggle="yes">Klebsiella pneumonia</italic> (ATCC 13883) and 
                                <italic toggle="yes">Escherichia coli</italic> (ATCC 25922).</p>
                        </list-item>
                        <list-item>
                            <label>f.</label>
                            <p>

                                <bold>Urease test:</bold> This test was conducted using the Christensen&#x2019;s medium (Oxoid&#x2122;, CM0053). The entire surface of the Christensen&#x2019;s urea slope was inoculated with the suspected bacterial isolate suspension, cultured overnight, and then tested for red and pink colors. 
                                <italic toggle="yes">Proteus vulgaris</italic> (ATCC 6380) and 
                                <italic toggle="yes">Escherichia coli,
</italic> positive controls.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec16">
                <title>Determination of frequency of occurrence of the bacteria isolates</title>
                <p>The number of isolated bacteria was counted based on the number of urine samples processed and the frequencies were recorded. The percentage of bacterial isolates was evaluated accordingly.</p>
            </sec>
            <sec id="sec17">
                <title>Statistical analysis</title>
                <p>The data were analyzed using IBM SPSS Statistics version 28. Descriptive statistics, including frequencies and percentages, were used to summarize sociodemographic characteristics, ASB awareness, hygiene practices, and bacterial isolate distribution. Categorical variables were coded and entered in the SPSS database to ensure data integrity. Laboratory results from the culture and biochemical tests were analyzed to determine the frequency of each isolate. Data are presented using tables and charts to enhance the clarity and interpretation of the key findings.</p>
            </sec>
            <sec id="sec18">
                <title>Ethical consideration, sampling, collection and transportation of urine samples</title>
                <p>Ethical approval for this study was obtained from the Ethics Committee of the Department of Science Laboratory Technology, Federal University of Technology Owerri (FUTO), Nigeria. The committee reviewed and approved the research protocol in accordance with institutional requirements for studies involving human participants. We clarify that the committee does not issue reference or approval numbers for departmental-level approvals; therefore, no formal number is available. All study procedures adhered strictly to the principles of the Declaration of Helsinki (2013 revision) on ethical conduct for research involving human participants. Prior to data collection, residents of the selected public compounds in Obinze were informed about the objectives, scope, and procedures of the study one week in advance. Verbal informed consent was obtained from all participants before the administration of questionnaires and urine sample collection, taking into account the low literacy level among some residents. Participants were assured of confidentiality, anonymity in reporting, and the voluntary nature of their participation, with the right to withdraw at any time without penalty. No minors were included in this study; therefore, parental consent and child assent were not applicable. Urine samples were collected using sterile universal containers, properly labeled with anonymized study codes, and transported in ice-cooled boxes to the Microbiology Laboratory, FUTO, within two hours of collection for analysis. All steps were conducted in accordance with biosafety and ethical standards, ensuring respect for participants&#x2019; autonomy, privacy, and safety.</p>
            </sec>
        </sec>
        <sec id="sec19" sec-type="results">
            <title>Results</title>
            <sec id="sec20">
                <title>Prevalence of Asymptomatic Bacteriuria (ASB)</title>
                <p>All 150 screened participants met the diagnostic criteria for asymptomatic bacteriuria, defined as a urine culture yielding &#x2265;10 colony-forming units (CFU)/mL in the absence of clinical symptoms. This represents a 100% prevalence rate, indicating a substantial and silent burden of ASB within the studied community. This finding reflects a likely underestimation of ASB in public health planning, and supports the need for targeted surveillance.</p>
            </sec>
            <sec id="sec21">
                <title>Distribution of the respondents by Socio-demographic characteristics</title>
                <p>The sociodemographic characteristics of the respondents whose urine samples were used for bacteriuria examination are presented in 
                    <xref ref-type="table" rid="T1">
Table 1</xref>. The age distribution ranged from 20 to 45 years, with the majority (62%) aged between 31 and 35 years, followed by 20% aged 26&#x2013;30 years. The mean age was 32.8 &#x00b1; 4.9 years. Females constituted a higher proportion (60%) than males (40%), reflecting the gender-based population dynamics in the study setting. Regarding educational attainment, 68% had no formal education, while only 4% had attained secondary or tertiary education, highlighting a low literacy level. Most of the participants were married (80%) and practiced Christianity (90%). Household sizes were relatively small in most cases, with 42% reporting 1&#x2013;3 members and 40% reporting 4&#x2013;6 members. These sociodemographic factors may influence hygiene behaviors and risk perceptions of tract infections.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Socio-demography of the respondents (N = 150).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Respondents</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (N)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Age (Yrs.)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20&#x2013;25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">26&#x2013;30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">31&#x2013;35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">93</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">36&#x2013;40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">41&#x2013;45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sex</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Household Size</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1&#x2013;3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">63</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">4&#x2013;6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">7&#x2013;9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">&gt;10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Educational Attainment</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No formal education</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">102</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">68.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Primary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Secondary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tertiary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Religion</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Christianity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Islam</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">African Tradition</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Marital Status</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Single</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Married</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">120</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">80.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Divorced</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Separated</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Widow/Widower</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data from the survey, 2025.</p>
                        <p>The table represent Socio-demographic characteristics of the study respondents (N = 150). The table presents the distribution of participants by age, sex, household size, educational attainment, religion, and marital status. The majority of respondents were aged 31&#x2013;35 years (62%), female (60%), and married (80%). Most households had 1&#x2013;6 members (82%), while a large proportion of respondents (68%) reported having no formal education. Christianity was the predominant religion (90%).</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec22">
                <title>Distribution of the respondents by awareness, personal hygiene and practices</title>
                <p>This result represents the distribution of participants based on their awareness of bacteriuria, personal hygiene behaviors, and related health practices, as presented in 
                    <xref ref-type="table" rid="T2">
Table 2</xref>. The responses reflected limited knowledge of asymptomatic bacteriuria, moderate understanding of personal hygiene, and generally positive practices in preventing infection transmission.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>
Table 2. </label>
                    <caption>
                        <title>Awareness of Bacteriuria, Personal Hygiene and Practices (n = 150).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Category</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Response</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Are you aware of bacteriuria?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Aware</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Not aware</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">How did you hear about it?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Medical Practitioner</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Friends/Neighbours</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Radio/TV</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Social media</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">No means</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">60.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">What microbial load is diagnostic of ASB?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">103</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">104</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2264;105</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2265;105</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">How often do you wash your private part?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Always</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">90.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sometimes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Not often</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">What do you use while washing the private part?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Water only</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Soap</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">120</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">80.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Detergent</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Disinfectant</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Where do you urinate?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Public urinary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">120</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">80.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Personal urinary</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">On the road</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Best practice for cleaning private part</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Water only</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Soap</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">99</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">66.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Detergent</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Disinfectant</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do you share shaving stick with someone?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">132</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">88.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Do you practice unprotected sexual activity?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">141</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">94.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">How many sexual partners do you have?</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">123</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">82.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">8.0</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 and above</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data from the survey, 2025.</p>
                        <p>The results indicate a low level of awareness of asymptomatic bacteriuria among residents of public compounds in Obinze. When asked about their knowledge of the condition, the majority were unfamiliar with the term, and only 1 respondent (2%) correctly identified the threshold bacterial load of &#x2265;10
                            <sup>5</sup> CFU/mL for classifying asymptomatic bacteriuria. In terms of personal hygiene, 90% of respondents acknowledged the importance of regular cleansing of the genital area. However, most were unaware that the use of soap in genital hygiene could be inappropriate and potentially harmful, particularly for women. Regarding urination practices, 80% of participants reported using public urinals, with others indicating they frequently urinate at the roadside behaviors that may contribute to urinary tract contamination. Encouragingly, health-protective behaviors were observed in other domains: 88% of respondents reported that they do not share sharp objects, while 82% indicated they have a single sexual partner and regularly engage in protected sexual intercourse. These practices suggest a level of awareness regarding the prevention of sexually transmitted and blood-borne infections.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec23">
                <title>Distribution of the respondents by result of urinalysis test</title>
                <p>Almost all participants&#x2019; urine test results were markedly normal, as shown in 
                    <xref ref-type="table" rid="T3">
Table 3</xref>. Normal urine should be yellow light to deep amber in color, free of blood, proteins, ketones, nitrites, glucose, bilirubin, and urobilirubin, with a pH between 4.5-8.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>
Table 3. </label>
                    <caption>
                        <title>Result from the urinalysis (N = 150).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Parameters</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency/Percentage</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Reference</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Color</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135 (90%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Amber and cloudy</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yellow (Light/deep amber)</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">15 (10%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Deep amber and cloudy</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Yellow (Light/deep amber)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Blood</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135 (90%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Absent (negative)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">15 (10%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Present (positive)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Protein</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">141 (94%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">9 (6%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Leucocyte</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">144 (96%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">6 (4%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">pH</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">147 (98%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5-8</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5-8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Specific gravity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">135 (90%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.030</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.005-1.025</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">15 (10%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.025</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.005-1.025</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Ketone</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">132 (88%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">None</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">18 (12%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5+ (positive)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">None</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Bilirubin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">123 (82%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">27 (18%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Nitrites</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">132 (88%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">18 (12%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Urobilirubin</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">138 (92%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal (0.6 mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal (0.5-1 mg/dL)</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">12 (8%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Abnormal (2.0 mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Normal (0.5-1 mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Glucose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">147 (98%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative (100 mg/dl)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative (&#x2264;130 mg/dL)</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">3 (2%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive (&gt;130 mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative (&#x2264;130 mg/dL)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>The results indicate that, 82% to 99% of the urine sample was normal and correctly corresponded with the references. A urine test reveals the health status of various essential internal organs, such as the liver and kidney. The presence of certain substances at certain ranges in urine samples indicates that the liver and kidneys are not working properly. Urinalysis does not account for the presence of bacteria in the urine sample; instead, it reveals the health of the vital organs. Furthermore, most persons who had positive and abnormal urine findings should undergo additional testing to diagnose their liver and renal issues.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec24">
                <title>Distribution of the respondents by gram staining and biochemical tests</title>
                <p>Biochemical and Gram staining characteristics were used to differentiate the five major bacterial isolates from urine samples, as presented in 
                    <xref ref-type="table" rid="T4">
Table 4</xref>. 
                    <italic toggle="yes">Escherichia coli</italic> was identified by positive indole and catalase tests and negative citrate, urease, and Gram staining. 
                    <italic toggle="yes">Klebsiella spp.</italic> were positive for catalase, citrate, and urease, but negative for indole, coagulase, and gram-negative bacteria.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>
Table 4. </label>
                    <caption>
                        <title>Identification of the urine isolates through gram staining and Biochemical tests.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Test</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">E. coli</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">Klebsiella spp.</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">Enter. spp.</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">P. aeruginosa</italic>
</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">

                                    <italic toggle="yes">S. aureus</italic>
</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Coagulase</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Catalase</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Citrate</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Indole</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Urease</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gram Staining</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">+</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Key: +: Positive 
                            <bold>-</bold>: Negative, 
                            <italic toggle="yes">E. coli: Escherichia coli</italic>, 
                            <italic toggle="yes">P. aeruginosa: Pseudomonas aeruginosa, S. aureus: Staphylococcus aureus, Enter. spp. Enterococcus spp.</italic>
</p>
                        <p>From the results
                            <italic toggle="yes">, Enterococcus spp.</italic> and 
                            <italic toggle="yes">Pseudomonas aeruginosa</italic> were both Gram-positive, with catalase positivity; however, they differed in their biochemical profiles 
                            <italic toggle="yes">Enterococcus spp.</italic> was positive for citrate, while 
                            <italic toggle="yes">P. aeruginosa</italic> was negative for citrate, indole, and urease. Staphylococcus aureus showed positive catalase and Gram staining, but was negative for all other tests including coagulase, which is unusual and may suggest a coagulase-negative strain.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec25">
                <title>Distribution of the respondents by number of isolates, frequency and Percentage occurrence</title>
                <p>The total number of bacteria isolated from the urine samples collected from respondents in Obinze was seventy-five and presented in 
                    <xref ref-type="table" rid="T5">
Table 5</xref>.</p>
                <table-wrap id="T5" orientation="portrait" position="float">
                    <label>
Table 5. </label>
                    <caption>
                        <title>Bacterial isolates from the urine samples number of isolates, frequency and Percentage occurrence (N = 150).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Isolates</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Bacterial isolates</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Escherichia coli</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">84</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Staphylococcus aureus</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Enterococcus spp.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Pseudomonas aeruginosa</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Klebsiella spp.</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.7</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total isolates</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100.0</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Data from the survey, 2025.</p>
                        <p>Out of the isolated bacteria, 
                            <italic toggle="yes">Escherichia coli (</italic>56%) was the highest occurring bacteria in the urine sample followed by 
                            <italic toggle="yes">Staphylococcus aureus</italic> (28%), 
                            <italic toggle="yes">Enterococcus spp.</italic> (6.7%), 
                            <italic toggle="yes">Pseudomonas aeruginosa</italic> (6.7%), and 
                            <italic toggle="yes">Klebsiella pneumoniae</italic> (2.6%). Despite the isolation of these microorganisms, the patients were completely asymptomatic. The distribution of the respondents by the number of bacteria isolates is also demonstrated using the bar chart as depicted by 
                            <xref ref-type="fig" rid="f1">
Figure 1</xref>. The chart shows the distribution by population of the bacteria in the urine samples collected.</p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec26">
                <title>Percentage prevalence 0f the bacteria isolated from urine samples</title>
                <p>The distribution of bacterial isolates obtained from the urine samples of asymptomatic individuals is presented in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>. 
                    <italic toggle="yes">Escherichia coli</italic> was the most prevalent organism, accounting for approximately 60% of the isolates, followed by 
                    <italic toggle="yes">Staphylococcus aureus</italic> (32%). Other bacteria detected included 
                    <italic toggle="yes">Enterococcus spp.</italic> (9%), 
                    <italic toggle="yes">Pseudomonas aeruginosa</italic> (10%), and 
                    <italic toggle="yes">Klebsiella spp.</italic> (5%). This distribution highlights the predominance of 
                    <italic toggle="yes">E. coli</italic> as the leading cause of asymptomatic bacteriuria while also demonstrating the presence of other clinically relevant uropathogens at lower frequencies. These findings underscore the microbial diversity among carriers despite the absence of overt urinary tract infection symptoms.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Bar chart showing the percentage prevalence of the bacteria isolated from urine samples.</title>
                        <p>Notably, all individuals from whom these bacteria were isolated remained asymptomatic, indicating the presence of asymptomatic bacteriuria. The distribution of bacterial isolates among respondents is further illustrated in 
                            <xref ref-type="fig" rid="f1">
Figure 1</xref>, which presents a bar chart detailing the relative frequency of each organism detected in the urine samples collected. This visual representation highlights the predominance of 
                            <italic toggle="yes">E. coli</italic> in the study population and underscores the microbial diversity present even in the absence of clinical symptoms.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/186037/9438725d-1e16-4fb0-9039-971ce500525a_figure1.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec27" sec-type="discussion">
            <title>Discussion</title>
            <p>This study investigated the prevalence, microbiological profile, and antibiotic susceptibility patterns of asymptomatic bacteriuria (ASB) in individuals in Obinze, Imo State, Nigeria. These findings contribute to the growing body of evidence reporting ASB as a clinically relevant but often under-recognized condition, particularly in sub-Saharan Africa.</p>
            <p>The results of this study revealed that 
                <italic toggle="yes">Escherichia coli</italic> was the most frequently isolated uropathogen, accounting for 56% of urine samples. This was followed by 
                <italic toggle="yes">Staphylococcus aureus</italic> (28%), 
                <italic toggle="yes">Enterococcus</italic> spp. (6.7%), 
                <italic toggle="yes">Pseudomonas aeruginosa</italic> (6.7%), and 
                <italic toggle="yes">Klebsiella pneumoniae</italic> (2.6%). The prevalence of 
                <italic toggle="yes">E. coli</italic> is consistent with the substantial body of literature that identifies it as the principal etiological agent of urinary tract infections (UTIs) globally (
                <xref ref-type="bibr" rid="ref35">Zhou et al., 2023</xref>). Studies from Uganda, Somalia, South Korea, and other low- and middle-income countries have consistently documented 
                <italic toggle="yes">E. coli</italic> as the leading uropathogen owing to its uropathogenic virulence (
                <xref ref-type="bibr" rid="ref7">Chowdhury et al., 2024</xref>; 
                <xref ref-type="bibr" rid="ref17">Mohamed et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref21">Odongo et al., 2020</xref>). The ability of an organism to express adhesins (P fimbriae), siderophores, and toxins, such as hemolysins, promotes its persistence in the urinary tract, even in asymptomatic individuals. These findings indicated that 
                <italic toggle="yes">E. coli</italic> may serve as a silent reservoir for antimicrobial resistance genes within the community (
                <xref ref-type="bibr" rid="ref32">
Washington et al., 2021</xref>). Its detection underscores the importance of integrating ASB surveillance into Nigeria&#x2019;s National Action Plan for Antimicrobial Resistance (NAP-AMR), especially in primary care and community health settings.</p>
            <p>Additionally, the detection of 
                <italic toggle="yes">Staphylococcus aureus, Klebsiella spp., Enterococcus spp.</italic>, and 
                <italic toggle="yes">Pseudomonas aeruginosa</italic> in the urine isolates indicated the polymicrobial nature of asymptomatic bacteriuria (ASB). This microbial diversity suggests the potential influence of various host and environmental factors on colonization of the urinary tract. Notably, the relatively high frequency of 
                <italic toggle="yes">S. aureus</italic> (28%) was higher than that typically reported in hospital-based studies, where gram-negative rods predominate, which may reflect unique local environmental exposure. This includes poor personal hygiene, shared or inadequate sanitation infrastructure, and possible contamination from the skin flora during sample collection. Similar patterns have been observed in some community-based studies, where S. aureus has emerged as a significant uropathogen, particularly among women and individuals with recurrent or untreated infections (
                <xref ref-type="bibr" rid="ref13">Gehrke et al., 2023</xref>; 
                <xref ref-type="bibr" rid="ref34">Wilkinson et al., 2025</xref>). The presence of 
                <italic toggle="yes">Staphylococcus aureus</italic>, 
                <italic toggle="yes">Klebsiella</italic> spp., 
                <italic toggle="yes">Enterococcus</italic> spp., and 
                <italic toggle="yes">Pseudomonas aeruginosa</italic> among the isolates highlights the polymicrobial nature of ASB. Notably, the relatively high frequency of 
                <italic toggle="yes">S. aureus</italic> isolation, more than is typically reported in hospital-based studies, likely reflects environmental factors, such as shared sanitation infrastructure and skin contamination (
                <xref ref-type="bibr" rid="ref20">Nkuwi et al., 2018</xref>; 
                <xref ref-type="bibr" rid="ref31">van der Schoor et al., 2023</xref>). This finding reinforces the urgency of implementing public health policies aligned with Nigeria&#x2019;s National Hygiene Promotion Strategy and the United Nations Sustainable Development Goal (SDG) 6, which emphasizes universal access to clean water and adequate sanitation (
                <xref ref-type="bibr" rid="ref15">Jurnal Kajian Bimbingan Dan Konseling &amp; Ifabiyi, 2025</xref>).</p>
            <p>Furthermore, this study revealed a markedly low level of awareness regarding asymptomatic bacteriuria (ASB) among participants, with only 2% accurately identifying the diagnostic threshold for the condition. This finding underscores the widespread lack of knowledge regarding asymptomatic infections, particularly those not associated with overt symptoms (
                <xref ref-type="bibr" rid="ref19">Nikolai et al., 2020</xref>). The implication is that significant individuals, even those at elevated risk, such as pregnant women, diabetics, and the elderly, are unlikely to seek screening or preventive care if they are unaware of the existence or potential complications of asymptomatic infections. This knowledge gap highlights the urgent need for targeted health education interventions in communities. Specifically, it reinforces the importance of integrating behavior change communication (BCC) strategies into Nigeria&#x2019;s primary healthcare framework, in line with the National Health Promotion Policy (
                <xref ref-type="bibr" rid="ref14">Idriss-Wheeler et al., 2024</xref>; 
                <xref ref-type="bibr" rid="ref29">UNICEF, 2017</xref>). A mixed personal hygiene practice was reported, with most respondents reporting regular cleaning of the genital areas. The use of soap and water, especially among women, poses a risk to the vaginal microbiome. Similar results have been observed in Kenya (
                <xref ref-type="bibr" rid="ref8">Czapar et al., 2024</xref>), where inappropriate vaginal cleansing practices have been linked to a higher UTI incidence. A study from India (
                <xref ref-type="bibr" rid="ref9">Das Purkayastha et al., 2019</xref>) reported such practices to increase colonization by pathogenic flora and reduce protective lactobacilli. This implies that hygiene promotion must be culturally sensitive and evidence-based to avoid inadvertently encouraging harmful behaviors. This supports the WHO WASH (Water, Sanitation, and Hygiene) recommendations and Nigeria&#x2019;s sanitation investment plans under the Clean Nigeria Campaign (
                <xref ref-type="bibr" rid="ref24">Okesanya et al., 2024</xref>). Environmental and infrastructural challenges were also evident, with the majority of participants reporting urination in public places due to a lack of functional toilets. This pattern is common in peri-urban areas, as shown in studies from Uganda, (
                <xref ref-type="bibr" rid="ref10">Dickson-Gomez et al., 2023</xref>) Ethiopia, (
                <xref ref-type="bibr" rid="ref4">Berihun et al., 2025</xref>) and parts of Nigeria (
                <xref ref-type="bibr" rid="ref11">Ekanem et al., 2025</xref>), where poor sanitation has been linked to increased exposure to uropathogens. Advocating the need to improve community infrastructure and parallel emphasis on behavioral interventions to minimize environmental transmission routes of infection.</p>
            <p>Interestingly, the respondents demonstrated responsible sexual behaviors, with the majority reporting using condoms and maintaining monogamous relationships. This contrasts with earlier reports in similar communities, where multiple sexual partners and inconsistent condom use were prevalent (
                <xref ref-type="bibr" rid="ref18">Muleia et al., 2024</xref>). Comparable improvements in sexual behavior have been reported in Nigeria, Kenya, and Uganda (
                <xref ref-type="bibr" rid="ref5">Camlin et al., 2025</xref>; 
                <xref ref-type="bibr" rid="ref28">Ukaegbu et al., 2022</xref>) owing to intensified HIV awareness campaigns. These protective behaviors have the potential to reduce exposure to sexually transmitted pathogens, including those that may ascend the urinary tract. However, this alone cannot mitigate the risk of ASB if environmental and hygienic factors are not addressed.</p>
            <p>Collectively, these findings provide insights into the multifactorial nature of ASB in low-resource communities. They highlighted the need for integrated interventions combining microbiological surveillance, public education, environmental sanitation, and antibiotic stewardship. These efforts must align with Nigeria&#x2019;s National Strategic Health Development Plan II (2018&#x2013;2022) and global frameworks, such as the Global Health Security Agenda (GHSA), which prioritize early detection and prevention of infectious threats in communities.</p>
        </sec>
        <sec id="sec28" sec-type="conclusion">
            <title>Conclusion</title>
            <p>The findings of this study underscore the urgent need for integrated community-focused interventions to address asymptomatic bacteriuria (ASB) in low-resource settings. Strengthening public awareness through targeted health education is critical to overcoming the widespread ignorance surrounding ASB and its complications. Efforts must also prioritize the improvement of water, sanitation, and hygiene (WASH) infrastructure to minimize the environmental risk factors that contribute to silent uropathogen transmission. Furthermore, culturally sensitive hygiene promotion and behavior change strategies should be embedded within Nigeria&#x2019;s primary healthcare framework to prevent harmful practices. Importantly, routine screening and microbiological surveillance should be incorporated into public health programs to enable the early detection and prevent antimicrobial resistance. Aligning these actions with national health policies and global frameworks, such as the SDGs and Global Health Security Agenda, will not only mitigate the burden of ASB but also contribute to the broader goal of strengthening community health resilience in underserved populations.</p>
            <sec id="sec29">
                <title>Recommendations</title>
                <p>Based on the findings of this study, the following recommendations are proposed to effectively address asymptomatic bacteriuria (ASB) and its associated public health challenges in low-resource settings:
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>Integrating ASB screening into primary healthcare services: Routine urine screening, especially for high-risk groups such as pregnant women, the elderly, and diabetics, should be included in community health outreach and antenatal care programs.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Enhanced Public Health Education: Health promotion campaigns should be implemented to raise awareness about ASB, its risks, and the importance of early detection. These campaigns must be culturally sensitive and community specific.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>Improve WASH Infrastructure: Government and stakeholders should invest in the provision of clean, accessible public sanitation facilities to reduce environmental exposure to uropathogens.</p>
                        </list-item>
                        <list-item>
                            <label>4.</label>
                            <p>Promote Safe and Evidence-Based Hygiene Practices: Behavior change communication (BCC) strategies should discourage harmful genital hygiene practices and encourage safe, microbiome-friendly methods, especially among women.</p>
                        </list-item>
                        <list-item>
                            <label>5.</label>
                            <p>Additional studies are needed to explore regional variations in the prevalence of ASBs, antibiotic resistance patterns, and socio-behavioral determinants to guide more tailored interventions.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec30">
            <title>Ethics approval and consent to participate</title>
            <p>Ethical approval was obtained from the Department of Science Laboratory Technology, Federal University of Technology Owerri (FUTO), Imo State, Nigeria. Informed verbal and written consent were obtained from all participants prior to sample collection and data collection. Participation was voluntary, and the confidentiality of all personal information was maintained.</p>
        </sec>
        <sec id="sec31">
            <title>Consent for publication</title>
            <p>This study did not involve the publication of any individual participant&#x2019;s personal data, images, or identifiable information.</p>
        </sec>
        <sec id="sec32">
            <title>Clinical trial number</title>
            <p>Not Applicable.</p>
        </sec>
    </body>
    <back>
        <sec id="sec35" sec-type="data-availability">
            <title>Data availability statement</title>
            <p>The datasets generated and analyzed during this study contain sensitive human participant information and therefore cannot be made publicly available in order to protect participant confidentiality. The Ethics Committee of the Department of Science Laboratory Technology, Federal University of Technology Owerri (FUTO), Nigeria, which reviewed and approved this study, stipulated that participant-level data should not be shared in open repositories to prevent potential identification of individuals. However, de-identified datasets may be made available to qualified researchers upon reasonable request. Requests for access will be considered on a case-by-case basis and must be accompanied by a clear description of the intended use. Researchers seeking access should contact the corresponding author. Any data provided will be stripped of personal identifiers, and access will be conditional on a commitment to use the data solely for research purposes consistent with ethical standards and the Declaration of Helsinki.</p>
            <p>The datasets generated and analyzed during this study contain sensitive participant information and are therefore not publicly available to protect confidentiality. However, de-identified data can be made available upon reasonable request from the corresponding author Swase Dominic Terkimbi, 
                <email xlink:href="mailto:princeswasedominic@gmail.com">princeswasedominic@gmail.com</email> subject to approval by the Federal University of Technology Owerri and completion of a data use agreement.</p>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>Not Applicable.</p>
        </ack>
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    </back>
    <sub-article article-type="reviewer-report" id="report444249">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.186037.r444249</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Jabur</surname>
                        <given-names>Sanaa Ghali</given-names>
                    </name>
                    <xref ref-type="aff" rid="r444249a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6043-5466</uri>
                </contrib>
                <aff id="r444249a1">
                    <label>1</label>University of Thi-Qar, Thi-Qar, Iraq</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>13</day>
                <month>1</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Jabur SG</copyright-statement>
                <copyright-year>2026</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="relatedArticleReport444249" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.168822.1"/>
            <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>First, I would like to thank the editorial board for their trust in us. Second, there are some points that will benefit the researcher if they wish to index their research: 1- The source they used in designing the study should be included. 2- There is excessive detail in mentioning the geographical location of the research area, which can be tedious for the reader. Therefore, it should be mentioned very briefly, clearly explaining its relevance to the research. 3- There is no need to list the materials and tools used in the research in a separate paragraph; it is sufficient to mention them when they were used in the research. 4- The Cochrane diffusion equation should be written, along with the source that used it. 5- There is no need to mention the method of preparing Gram stain and the methods of preparing media. It is sufficient to state, "Gram stain was used according to the source," and then mention the source. Similarly, if necessary, mention the media used and also refer to the source that used it. 6- There is no need to mention the method of preparing Gram stain or the methods of performing biochemical tests, as these are common and well-known methods. It should be stated that the Gram stain method was used in microscopy, followed by the biochemical tests, and then list the various tests, again citing the source that used them. 7. The equations used to calculate the percentage and frequency of bacteria in the statistical analysis should be written, along with the source that used them. 8. A source should be cited to confirm the considerations adopted by the researcher in paragraph (). 9. The researcher did not mention the statistical methods used to calculate the frequency and percentage for patients, as these were used in Tables 1, 2, 3, and 4. It is possible that the frequency mentioned by the researcher in these tables is the number of patients. If so, it should be corrected to the number of patients, not the frequency. 10. Regarding the results related to Table 5, the researcher should state the total number of bacterial isolates from the urine samples, and then continue with the results, not the number of bacteria as the researcher stated. Wishing the researcher and the journal all the best.</p>
            <p> </p>
            <p> </p>
            <p> </p>
            <p> </p>
            <p> </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>My research area is microbiology, including its genetic evolution and biological resistance.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report436194">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.186037.r436194</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Osungunna</surname>
                        <given-names>Michael Oluwole</given-names>
                    </name>
                    <xref ref-type="aff" rid="r436194a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r436194a1">
                    <label>1</label>Obafemi Awolowo University, Ile-Ife, Nigeria</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>11</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Osungunna MO</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport436194" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.168822.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>General Comments</bold>: This work addresses the occurrence of asymptomatic bacteriuria among people living in Imo State, Nigeria with the objective of investigating the prevalence, microbial profile, and antibiotic susceptibility patterns of Asymptomatic bacteriuria among individuals residing in public housing in Obinze, Imo State, Nigeria.</p>
            <p> 
                <bold>Title: </bold>The word &#x201c;in&#x201d; is missing between living and Imo.</p>
            <p> 
                <bold>Abstract</bold>:</p>
            <p> Background: replace under-recognized with under-reported</p>
            <p> Methods: How many urine samples were collected? Relate and harmonize this with the summary of the key findings</p>
            <p> Results: It is not enough to report that antibiotic resistance was observed among the isolates. Kindly give information about the antibiotics used, antibiotic(s) with the highest susceptibility and highest resistance. Are the isolates multiple antibiotic-resistant?</p>
            <p> 
                <bold>Introduction</bold>: This lacks some basic information that could lay a good foundation for the study. Information about organisms that had been indicted or found associated with asymptomatic bacteriuria, possible antibiotics that have been evaluated with associated isolates, as well as information about the susceptibility/resistance of the isolates to antibiotics is missing.</p>
            <p> Paragraph 1, line 7: &#x201c;this includes&#x201d; should be changed to &#x201c;These include&#x201d; (since the author is referring to the adverse outcomes</p>
            <p> Paragraph 2 line 1: &#x201c;due to&#x201d; should be changed to &#x201c;responsible for&#x201d;</p>
            <p> Paragraph 2, line 5: Why was UROKO written in capitals? Change to Uroko</p>
            <p> Paragraph 5, line 3: That data on the prevalence and antimicrobial susceptibility of ASBs in the general population remain scarce is not true. Author should do more literature search on asymptomatic bacteriuria.</p>
            <p> 
                <bold>Methodology</bold>: The way the methodology was presented is confusing and will not be reproducible. Some materials and equipment listed are not necessary. Only the basic ones and their manufacturers should be listed. Also, the tests conducted are basic conventional biochemical tests and their details are not necessary. Gram staining is a standard method, so its detail is not necessary.The author centrifuged the urine and later re-constituted the pellets in sterile distilled water for bacterial counts. Why? The author should have used the urine samples directly. The author needs to familiarize himself with the guidelines on working with urine samples. The author reported &#x201c;Counts were made from plates containing 30-300 colonies which were according to the standard (
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref3">Bashir et al., 2016</ext-link>)&#x201d;. Which standard is the author referring to? Using a drop plate method, if 10 &#x00b5;L is used, 3 &#x2013; 30 colonies should be counted while 20 &#x00b5;L should give 6 &#x2013; 60 colonies. Any dilution that gives this result should be counted. The author should note and correct the following: 121
                <sup>o</sup>C&#x00b0;C should be corrected to 121
                <sup>o</sup>C; 45
                <sup>o</sup>C&#x00b0;C should be corrected to 45
                <sup>o</sup>C</p>
            <p> 
                <bold>Results: </bold>The author reported thus:
                <bold> </bold>All 150 screened participants met the diagnostic criteria for asymptomatic bacteriuria, defined as a urine culture yielding &#x2265;10 colony-forming units (CFU)/mL in the absence of clinical symptoms. This represents a 100% prevalence rate, indicating a substantial and silent burden of ASB within the studied community. How did this translate to 75 isolates used? Or where the author said 50 urine samples gave 75 isolates, how? However, the author emphasised sociodemographic data more at the expense of the objectives of the work. What is the significance of urinalysis tests conducted in this study? Since the result of occurrence of isolates has been presented in Table, bar chart of the same data is not necessary. Choose between Table 5 and Figure 1.&#x00a0;</p>
            <p> 
                <bold>Discussion</bold>:&#x00a0; This is poorly written as some pieces of vital information are missing. The discussion is poorly linked while it also fails to address all the objectives of the study. It is noted that some assertions are true, some reasons given are true but the reasons do not explain the assertions. For instance, the author posited thus: Studies from Uganda, Somalia, South Korea, and other low- and middle-income countries have consistently documented&#x00a0;
                <italic>E. coli</italic>&#x00a0;as the leading uropathogen owing to its uropathogenic virulence (
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref7">Chowdhury et al., 2024</ext-link>;&#x00a0;
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref17">Mohamed et al., 2023</ext-link>;&#x00a0;
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref21">Odongo et al., 2020</ext-link>). The ability of an organism to express adhesins (P fimbriae), siderophores, and toxins, such as hemolysins, promotes its persistence in the urinary tract, even in asymptomatic individuals. These findings indicated that&#x00a0;
                <italic>E. coli</italic>&#x00a0;may serve as a silent reservoir for antimicrobial resistance genes within the community (
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref32">&#x00a0;Washington et al., 2021</ext-link>). Where is this coming?</p>
            <p> The discussion fails to address the issue of susceptibility profiles of the isolates to antibiotics, an important objective of this study. The author should arrange the cited references chronologically by year where multiple references are cited. For instance, 
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref5">Camlin et al., 2025</ext-link>;&#x00a0;
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref28">Ukaegbu et al., 2022</ext-link> should be &#x00a0;
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref28">Ukaegbu et al., 2022</ext-link>; 
                <ext-link ext-link-type="uri" xlink:href="https://f1000research.com/articles/14-1220/v1#ref5">Camlin et al., 2025</ext-link>.&#x00a0;</p>
            <p> 
                <bold>Conclusion</bold>: &#x00a0;&#x00a0;&#x00a0;This is not in line with the stated objectives of the study.It should be re-written while recommendations should be separated from the conclusion.</p>
            <p> 
                <bold>References</bold>: Some of the references are up-to-date and relevant. However, some are not relevant to the study. The authors need to harmonize the references for uniformity while more relevant references should be cited. &#x00a0;</p>
            <p> 
                <bold>Recommendation:</bold> Having evaluated the contribution of this work to the existing knowledge in the area of urinary tract infections, the depth of the work, the novelty of the research and the lacunas in the report, I recommend the work not to be indexed.</p>
            <p> </p>
            <p> .</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>No</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Pharmaceutical Microbiology</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
