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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS Negl Trop Dis</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosntds</journal-id>
<journal-title-group>
<journal-title>PLOS Neglected Tropical Diseases</journal-title>
</journal-title-group>
<issn pub-type="epub">1935-2735</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pntd.0013892</article-id>
<article-id pub-id-type="publisher-id">PNTD-D-25-00569</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3">
<subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Eukaryota</subject><subj-group><subject>Protozoans</subject><subj-group><subject>Parasitic protozoans</subject><subj-group><subject>Trypanosoma</subject><subj-group><subject>Trypanosoma cruzi</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Epidemiology</subject><subj-group><subject>Medical risk factors</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Research and analysis methods</subject><subj-group><subject>Bioassays and physiological analysis</subject><subj-group><subject>Electrophysiological techniques</subject><subj-group><subject>Cardiac electrophysiology</subject><subj-group><subject>Electrocardiography</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Pathology and laboratory medicine</subject><subj-group><subject>Serology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Medical conditions</subject><subj-group><subject>Tropical diseases</subject><subj-group><subject>Neglected tropical diseases</subject><subj-group><subject>Chagas disease</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Medical conditions</subject><subj-group><subject>Parasitic diseases</subject><subj-group><subject>Protozoan infections</subject><subj-group><subject>Chagas disease</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>People and places</subject><subj-group><subject>Geographical locations</subject><subj-group><subject>South America</subject><subj-group><subject>Brazil</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Public and occupational health</subject></subj-group></subj-group><subj-group subj-group-type="Discipline-v3">
<subject>Medicine and health sciences</subject><subj-group><subject>Medical conditions</subject><subj-group><subject>Infectious diseases</subject><subj-group><subject>Vector-borne diseases</subject></subj-group></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>Seroepidemiological survey and seropositivity rate for <italic>Trypanosoma cruzi</italic> infection in a community-based cardiac screening initiative in Feira de Santana, Bahia, Brazil</article-title>
<alt-title alt-title-type="running-head">Seropositivity rate of <italic>T. cruzi</italic> infection in cardiac screening in Bahia</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
<name name-style="western">
<surname>Jesus</surname>
<given-names>Felipe Silva Santos de</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes" xlink:type="simple">
<name name-style="western">
<surname>Fonseca</surname>
<given-names>Isabella Moreira Gonzalez</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/software/">Software</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Silva</surname>
<given-names>Ângelo Antônio Oliveira</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gonçalves</surname>
<given-names>Noilson Lázaro Sousa</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Sampaio</surname>
<given-names>Daniel Dias</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Mothé</surname>
<given-names>Deborah Bittencourt </given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff004"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Celedon</surname>
<given-names>Paola Alejandra Fiorani</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff005"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Zanette</surname>
<given-names>Dalila Luciola</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff005"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Zanchin</surname>
<given-names>Nilson Ivo Tonin</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="http://credit.niso.org/contributor-roles/validation/">Validation</role>
<xref ref-type="aff" rid="aff006"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Nunes</surname>
<given-names>Maria Carmo Pereira</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="http://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Rocha</surname>
<given-names>Manoel Otávio da Costa</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Sable</surname>
<given-names>Craig</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="http://credit.niso.org/contributor-roles/resources/">Resources</role>
<role content-type="http://credit.niso.org/contributor-roles/software/">Software</role>
<role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff007"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Ribeiro</surname>
<given-names>Antonio Luiz Pinho</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="http://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-3944-0818</contrib-id>
<name name-style="western">
<surname>Santos</surname>
<given-names>Fred Luciano Neves</given-names>
</name>
<role content-type="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="http://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role content-type="http://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="http://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-original-draft/">Writing – original draft</role>
<role content-type="http://credit.niso.org/contributor-roles/writing-review-editing/">Writing – review &amp; editing</role>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff008"><sup>8</sup></xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label> <addr-line>Advanced Health Public Laboratory, Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil</addr-line></aff>
<aff id="aff002"><label>2</label> <addr-line>Interdisciplinary Research Group in Biotechnology and Epidemiology of Infectious Diseases (GRUPIBE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil</addr-line></aff>
<aff id="aff003"><label>3</label> <addr-line>Medical School and University Hospital, Federal University from Minas Gerais, Belo Horizonte, Minas Gerais, Brazil</addr-line></aff>
<aff id="aff004"><label>4</label> <addr-line>Laboratory of Interaction Parasite Host and Epidemiology (LAIPHE), Gonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Bahia, Brazil</addr-line></aff>
<aff id="aff005"><label>5</label> <addr-line>Laboratory for Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation, Curitiba, Paraná, Brazil</addr-line></aff>
<aff id="aff006"><label>6</label> <addr-line>Structural Biology and Protein Engineering Laboratory, Carlos Chagas Institute, Oswaldo Cruz Foundation, Curitiba, Paraná, Brazil</addr-line></aff>
<aff id="aff007"><label>7</label> <addr-line>Ochsner Children’s Hospital, New Orleans, Louisiana, United States of America</addr-line></aff>
<aff id="aff008"><label>8</label> <addr-line>Integrated Translational Program in Chagas disease from Fiocruz – Fio-Chagas, Rio de Janeiro, Rio de Janeiro, Brazil</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Werneck</surname>
<given-names>Guilherme L</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/></contrib>
</contrib-group>
<aff id="edit1"><addr-line>Universidade do Estado do Rio de Janeiro, BRAZIL</addr-line></aff>
<author-notes>
<corresp id="cor001">* E-mail: <email xlink:type="simple">fred.santos@fiocruz.br</email></corresp>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="other" id="fn001">
<p>☯ These authors contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="epub"><day>2</day><month>1</month><year>2026</year></pub-date>
<pub-date pub-type="collection"><month>1</month><year>2026</year></pub-date>
<volume>20</volume>
<issue>1</issue>
<elocation-id>e0013892</elocation-id>
<history>
<date date-type="received"><day>12</day><month>4</month><year>2025</year></date>
<date date-type="accepted"><day>22</day><month>12</month><year>2025</year></date>
</history>
<permissions>
<copyright-year>2026</copyright-year>
<copyright-holder>Jesus et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pntd.0013892"/>
<abstract>
<p>Chagas disease (CD), caused by <italic>Trypanosoma cruzi</italic>, is a significant public health issue in Latin America, particularly in endemic regions. This study integrates a seroepidemiological survey with large-scale echocardiographic screening conducted in Feira de Santana, a highly endemic city in Bahia, Brazil, to estimate the seropositivity rate of <italic>T. cruzi</italic> infection and identify associated risk factors. Peripheral blood samples were analyzed using in-house ELISA based on IBMP chimeric antigens and an indirect hemagglutination assay. Among 1,115 participants enrolled in the cardiac screening initiative, 140 underwent serological testing comprising individuals who screened positive based on clinical data, conventional ECG, and ECG-AI, and controls matched in a 2:1 ratio. Of these, 8.5% tested seropositive, with household exposure to triatomines identified as the strongest risk factor (prevalence ratio = 4.38, p = 0.004). Most seropositive individuals were migrants from other endemic areas, underscoring the influence of population mobility on CD epidemiology. This study highlights the importance of integrating diagnostic tools and vector control strategies into community-based health initiatives to improve early detection, reduce disease burden, and inform public health interventions in underserved regions.</p>
</abstract>
<abstract abstract-type="summary">
<title>Author summary</title>
<p>Chagas disease, caused by the parasite <italic>Trypanosoma cruzi</italic>, remains a major health concern in Latin America, especially in areas with limited access to healthcare. In this study, we combined artificial intelligence-based electrocardiogram analysis and cardiac screening with serological testing to detect undiagnosed <italic>T. cruzi</italic> infections in Feira de Santana, a city in the state of Bahia, Brazil. By analyzing electrocardiogram data, epidemiological information, and laboratory assays, we identified individuals at increased risk and confirmed infection using validated serological methods. Our results showed that people who reported the presence of triatomine bugs inside their homes were significantly more likely to be infected, emphasizing the role of vector exposure in <italic>T. cruzi</italic> transmission. In addition, most seropositive individuals were unaware of their condition and had migrated from other endemic regions. These findings highlight the importance of combining innovative technologies with community-based screening initiatives can improve early detection of <italic>T. cruzi</italic> infection and guide public health strategies in vulnerable populations.</p>
</abstract>
<funding-group>
<award-group id="award001">
<funding-source><institution>National Council for Scientific and Technological Development (CNPQ)</institution>
</funding-source><award-id>304894/2023-0</award-id>
<principal-award-recipient><name name-style="western">
<surname>Zanchin</surname><given-names>Nilson Ivo Tonin</given-names></name></principal-award-recipient></award-group>
<award-group id="award002">
<funding-source><institution>National Council for Scientific and Technological Development (CNPQ)</institution>
</funding-source><award-id>306448/2023-8</award-id>
<principal-award-recipient><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-3944-0818</contrib-id><name name-style="western">
<surname>Santos</surname><given-names>Fred Luciano Neves</given-names></name></principal-award-recipient></award-group>
<award-group id="award003">
<funding-source>
<institution-wrap>
<institution-id institution-id-type="funder-id">http://dx.doi.org/10.13039/100006520</institution-id>
<institution>Edwards Lifesciences</institution>
</institution-wrap>
</funding-source></award-group>
<award-group id="award004">
<funding-source><institution>Coordination for the Improvement of Higher Education Personnel (CAPES)</institution>
</funding-source><award-id>Finance Code 001</award-id>
</award-group>
<funding-statement>This study was supported by the Edwards Lifesciences Foundation and the Coordination for the Improvement of Higher Education Personnel in Brazil (CAPES; Finance Code 001). NITZ and FLNS are research fellows of the National Council for Scientific and Technological Development-Brazil (CNPq; processes 304894/2023-0 and 306448/2023-8, respectively). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<page-count count="12"/>
</counts>
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<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>All relevant data are in the manuscript and its <xref ref-type="sec" rid="sec015">supporting information</xref> files.</meta-value>
</custom-meta>
<custom-meta>
<meta-name>PLOS Publication Stage</meta-name>
<meta-value>vor-update-to-uncorrected-proof</meta-value>
</custom-meta>
<custom-meta>
<meta-name>Publication Update</meta-name>
<meta-value>2026-01-08</meta-value>
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</front>
<body>
<sec id="sec001" sec-type="intro">
<title>Introduction</title>
<p>Chagas disease (CD), caused by the protozoan <italic>Trypanosoma cruzi</italic>, remains a significant public health issue in Latin America, affecting millions and contributing to considerable morbidity and mortality [<xref ref-type="bibr" rid="pntd.0013892.ref001">1</xref>,<xref ref-type="bibr" rid="pntd.0013892.ref002">2</xref>]. Despite advances in control measures, gaps in early detection and treatment persist, particularly in underserved regions [<xref ref-type="bibr" rid="pntd.0013892.ref003">3</xref>]. Chronic CD can lead to cardiac involvement, which represents the leading cause of mortality, highlighting the need for innovative strategies to improve healthcare delivery and patient outcomes.</p>
<p>The state of Bahia is recognized as one of the Brazilian states with persistent endemicity for <italic>T. cruzi</italic> infection, where both vectorial and oral transmission routes have been historically documented. Recent seroepidemiological surveys continue to report significant seroprevalence rates in rural and peri-urban communities [<xref ref-type="bibr" rid="pntd.0013892.ref004">4</xref>–<xref ref-type="bibr" rid="pntd.0013892.ref006">6</xref>]. Bahia also harbors the greatest diversity of triatomine species in Brazil, including several species that have adapted to human dwellings, thereby sustaining the risk of domestic transmission [<xref ref-type="bibr" rid="pntd.0013892.ref007">7</xref>–<xref ref-type="bibr" rid="pntd.0013892.ref010">10</xref>]. New triatomine species have been described or revalidated in the state, and changes in vector ecology and human–environment interactions have posed additional challenges to control strategies.</p>
<p>Within Bahia, Feira de Santana is one of the most populous municipalities and serves as an important regional commercial and transportation hub. The city has reported substantial morbidity and mortality associated with CD, reflecting the challenges in vector control, diagnosis, and clinical management [<xref ref-type="bibr" rid="pntd.0013892.ref011">11</xref>]. Marked socioeconomic inequalities, population mobility, and limited access to specialized healthcare services further contribute to delays in the identification and follow-up of individuals infected with <italic>T. cruzi</italic>. In this context, innovative approaches that integrate diagnostic technologies into existing healthcare initiatives are essential to improve case detection and reduce disease burden. International initiatives such as the <italic>Every Heartbeat Matters Program</italic> have emerged as promising strategies to address cardiovascular health disparities in resource-limited settings [<xref ref-type="bibr" rid="pntd.0013892.ref012">12</xref>]. This initiative incorporates telehealth-enabled electrocardiography (teleECG), artificial intelligence–based ECG analysis, and targeted echocardiographic screening to improve the detection and management of structural heart disease at the community level. Given the strong association between chronic <italic>T. cruzi</italic> infection and cardiac involvement, such platforms offer an opportunity to integrate seroepidemiological investigations into large-scale cardiac screening programs.</p>
<p>In this study, we leveraged data from a seroepidemiological survey conducted alongside the <italic>Every Heartbeat Matters</italic> initiative in Feira de Santana. The primary objectives were to estimate the seropositivity rate of <italic>T. cruzi</italic> infection, identify epidemiological and environmental factors associated with infection, and assess the feasibility of integrating <italic>T. cruzi</italic> screening into community-based echocardiographic programs in endemic settings. The findings aim to inform public health strategies and strengthen approaches for the early detection and management of <italic>T. cruzi</italic> infection in high-burden regions.</p>
</sec>
<sec id="sec002" sec-type="materials|methods">
<title>Methods</title>
<sec id="sec003">
<title>Ethics</title>
<p>This study adhered to the principles of the Declaration of Helsinki and was approved by the Institutional Review Board (IRB) of the Gonçalo Moniz Institute, Oswaldo Cruz Foundation (IGM-FIOCRUZ), Salvador, Bahia, Brazil (protocol no. 67809417.0.0000.0040). Written informed consent was obtained from all participants prior to enrollment.</p>
</sec>
<sec id="sec004">
<title>Study population</title>
<p>This cross-sectional study was conducted in Feira de Santana, Bahia, Brazil, the second largest city in the state, located in the semi-arid region of Northeastern Brazil (11° 11′ S, 38° 58′ W) at an altitude of 234 m. According to the Brazilian Institute of Geography and Statistics (IBGE), the municipality has approximately 616,272 inhabitants and serves as an important commercial and transport hub [<xref ref-type="bibr" rid="pntd.0013892.ref013">13</xref>]. The urban area is characterized by high population density and pronounced socioeconomic inequalities, particularly in peripheral neighborhoods with limited access to healthcare, sanitation, and adequate housing.</p>
<p>A total of 1,115 adults were recruited during a large-scale community-based cardiac screening initiative. All participants completed a structured questionnaire collecting sociodemographic data (age, sex, education, employment, household income), environmental and housing characteristics (construction materials, presence of domestic animals or chicken coops, and history of triatomine sightings), migration background, family history of Chagas disease, and previous medical diagnoses. Cardiovascular symptoms, including reduced exercise tolerance, chest pain, syncope, and palpitations, were also assessed. Questionnaires were administered by trained healthcare professionals or supervised medical students at the time of echocardiographic examination.</p>
</sec>
<sec id="sec005">
<title>Cardiac screening and risk stratification</title>
<p>All participants underwent a standard 12-lead electrocardiogram (ECG) acquired using a PC-based system (TEB, São Paulo, Brazil) and transmitted electronically to a telehealth platform for interpretation by cardiologists. ECG abnormalities were classified as major or minor according to the Minnesota Code criteria [<xref ref-type="bibr" rid="pntd.0013892.ref014">14</xref>].</p>
<p>Transthoracic echocardiography was performed by a team of eight cardiologists using commercially available systems (Vivid Q, GE Healthcare; Affiniti 70, Philips, USA). Images were stored digitally and interpreted immediately after acquisition; uncertain findings were resolved by consensus reading. Abnormal echocardiograms were defined by the presence of major structural or functional abnormalities, as previously described [<xref ref-type="bibr" rid="pntd.0013892.ref012">12</xref>].</p>
<p>An ECG-based artificial intelligence (AI) algorithm, implemented as a deep neural network trained on standard 12-lead digital ECG waveforms (time–voltage signals), was applied to estimate the probability of <italic>T. cruzi</italic> infection [<xref ref-type="bibr" rid="pntd.0013892.ref015">15</xref>]. Risk stratification combined the AI-ECG output with responses to three epidemiological questions assessing whether participants had: (i) a family member diagnosed with CD, (ii) lived in areas with known triatomine (kissing bug) exposure, and (iii) resided in wooden houses, a recognized risk factor for vector transmission.</p>
<p>Participants classified as at increased risk were invited to undergo serological testing. For comparison, control individuals classified as low risk were randomly selected using a computer-generated algorithm at a 2:1 ratio (controls to cases) and also underwent serological testing.</p>
</sec>
<sec id="sec006">
<title>Specimen collection and storage</title>
<p>Peripheral blood samples (9 mL) were collected into clot-activator tubes with gel separators (Vacuplast, Brazil). After clotting at room temperature for 30 minutes, samples were centrifuged at 3,000 × g for 10 minutes. Serum aliquots were transported to the Gonçalo Moniz Institute (Oswaldo Cruz Foundation, Bahia) and stored at −20 °C until analysis.</p>
</sec>
<sec id="sec007">
<title>Serological testing</title>
<p>Anti-<italic>T. cruzi</italic> IgG antibodies were initially detected using in-house ELISA assays based on four chimeric recombinant antigens (IBMP-8.1, IBMP-8.2, IBMP-8.3, and IBMP-8.4), following established protocols [<xref ref-type="bibr" rid="pntd.0013892.ref016">16</xref>]. Recombinant antigens were expressed in <italic>Escherichia coli</italic> BL21-Star (DE3), purified by affinity and ion-exchange chromatography, and quantified using a Qubit 2.0 fluorometer (Invitrogen, Carlsbad, CA, USA). ELISAs were performed in 96-well microplates (Greiner Bio-One, Austria). Plates were sensitized with the antigens and blocked with a solution of Well-Champion (Ken-Em-Tec Diagnostics A/S, Denmark). Serum samples were diluted 1:100 in PBS-T (PBS containing 0.05% Tween-20; pH 7.4) and incubated at 37 °C for 30 minutes. After washing with PBS-T, a goat anti-human IgG-HRP conjugate (Bio-Manguinhos, FIOCRUZ, Brazil) was added and incubated at 37 °C for 30 minutes. Following additional washing, immune complexes were identified using TBM substrate (Kem-En-Tec, Denmark) with a 10-minute incubation in the dark at room temperature. The reaction was stopped with 0.3 M H₂SO₄, and optical density (OD) was measured at 450 nm using a SPECTRAmax 340PC microplate reader (Molecular Devices, USA).</p>
<p>All samples were additionally tested using a commercial indirect hemagglutination assay (Imuno-HAI Chagas, WAMA Diagnóstica, Brazil), performed according to the manufacturer’s instructions. Sera were diluted 1:32 in assay diluent supplemented with 2-mercaptoethanol to reduce nonspecific reactivity. Qualitative results were interpreted visually, with reactive samples formed a compact erythrocyte button at the bottom of the well, whereas reactive samples producing diffuse erythrocyte mats and non-reactive samples forming compact buttons. Reactive samples were further titrated by serial two-fold dilutions, with titers ≥1:32 considered positive.</p>
</sec>
<sec id="sec008">
<title>Reference testing</title>
<p>In the absence of a single gold standard for detecting anti-<italic>T. cruzi</italic> antibodies, infection status was determined using a combined approach based on indirect hemagglutination results and latent class analysis (LCA) [<xref ref-type="bibr" rid="pntd.0013892.ref017">17</xref>–<xref ref-type="bibr" rid="pntd.0013892.ref019">19</xref>]. Within the LCA framework, seropositivity was defined as reactivity in at least two of the four IBMP ELISA, yielding posterior probabilities between 87.9% and 100%; while seronegativity required non-reactivity in at least three assays, with posterior probabilities ≤0.8%. Concordance between LCA and indirect hemagglutination was assessed for all samples. All samples classified as seropositive or presenting discordant results were further evaluated using two commercial ELISA assays, Gold ELISA Chagas (REM Indústria e Comércio Ltda, Brazil) and Bioelisa Chagas Recombinante (Bioclin Quibasa Química Básica, Brazil), to provide additional confirmation.</p>
</sec>
<sec id="sec009">
<title>Data analysis</title>
<p>Descriptive statistics summarized sociodemographic and epidemiological characteristics. Age was expressed as median and interquartile range (IQR), and categorical variables (e.g., sex, serological test results) as relative frequencies. Associations between <italic>T. cruzi</italic> seropositivity and potential risk factors, including prior exposure to triatomines, contact with kissing bugs, presence of a chicken coop, and familial history of CD, were evaluated using contingency tables. Seropositivity rates were calculated as the proportion of seropositive cases among exposed individuals relative to non-exposed individuals, with 95% confidence intervals (CI) and p-values derived from Fisher’s exact test. Statistical significance was set at p-value &lt; 0.05. Additionally, prevalence ratio (PR) was performed to assess the association of sociodemographic and environmental factors with positivity. Multivariable logistic regression models integrating ECG findings and epidemiological variables were used to estimate the probability of <italic>T. cruzi</italic> infection.</p>
</sec>
</sec>
<sec id="sec010" sec-type="results">
<title>Results</title>
<p>Between August 24 and 27, 2024, a total of 1,115 individuals participated in the <italic>Every Heartbeat Matters</italic> cardiac screening initiative conducted at the Holy House of Mercy in Feira da Santana (<xref ref-type="fig" rid="pntd.0013892.g001">Fig 1</xref>). In the overall screened population, the median age was 57 years (IQR: 44–64 years), and women accounted for 78.4% of participants, corresponding to a female-to-male ratio of 4.9:1. According to the Minnesota Code criteria [<xref ref-type="bibr" rid="pntd.0013892.ref014">14</xref>], 284 individuals (27.5%) presented minor ECG abnormalities, while 118 (11.4%) showed major abnormalities.</p>
<fig id="pntd.0013892.g001" position="float"><object-id pub-id-type="doi">10.1371/journal.pntd.0013892.g001</object-id><label>Fig 1</label><caption><title>Study design of a seroepidemiological survey for Chagas disease in Feira de Santana, Bahia, Brazil.</title><p>The figure summarizes participant selection within the Every Heartbeat Matters cardiac screening initiative, with ECG and echocardiographic evaluation, risk stratification, and subsequent serological testing using IBMP chimeric antigen–based ELISA and commercial assays. The design follows the Standards for Reporting of Diagnostic Accuracy Studies (STARD) guidelines.</p></caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pntd.0013892.g001" xlink:type="simple"/></fig>
<p>Based on the combined risk stratification approach integrating epidemiological information, conventional ECG findings, and ECG-AI output, 121 individuals were selected for serological evaluation. Of these, 80 were classified as being at increased risk for <italic>T. cruzi</italic> infection, and 41 low-risk individuals were randomly selected as controls at a 2:1 ratio. Blood samples were obtained from 112 participants, while the remaining screened individuals (n = 994) were not included in serological testing (<xref ref-type="supplementary-material" rid="pntd.0013892.s001">S1 Table</xref>).</p>
<p>Among the 73 participants with ECG abnormalities who underwent serological testing, 13 (17.8%) were classified as seropositive for <italic>T. cruzi</italic>. In contrast, none of the 39 control individuals tested positive, resulting in a seropositivity rate of 0% in this group. Overall, the seropositivity rate among all tested participants was 11.6% (13/112) (<xref ref-type="fig" rid="pntd.0013892.g001">Fig 1</xref>).</p>
<p>False-positive alerts generated by the ECG-AI algorithm were observed in 22 individuals. Among these, six presented major ECG abnormalities and 16 presented minor abnormalities; however, all were classified as seronegative by both indirect hemagglutination and latent class analysis. Echocardiographic screening among individuals with confirmed <italic>T. cruzi</italic> infection revealed left or right ventricular involvement in only two participants, while the remaining seropositive individuals showed no major structural abnormalities at the time of screening.</p>
<sec id="sec011">
<title>Serological classification and assay concordance</title>
<p>The indirect hemagglutination assay classified 99 samples (88.4%) as non-reactive and 13 samples (11.6%) as reactive for anti-<italic>T. cruzi</italic> antibodies. Latent class analysis yielded an identical classification, with all 99 seronegative samples showing no reactivity to any of the four IBMP antigens and posterior probabilities of zero for positivity (<xref ref-type="supplementary-material" rid="pntd.0013892.s001">S1 Table</xref>). Among the 13 seropositive samples, eight (61.5%) reacted with all four IBMP antigens, two (15.4%) reacted with three antigens, and three (23.1%) reacted with two antigens. Posterior probabilities for positivity ranged from 96.9% to 100%, confirming the classification of <italic>T. cruzi</italic> infection. No discordant results between indirect hemagglutination and LCA were observed. In addition, both commercial ELISA assays (Gold ELISA Chagas and Bioelisa Chagas Recombinante) detected seropositivity in 100% (13/13) of the confirmed positive samples (<xref ref-type="table" rid="pntd.0013892.t001">Table 1</xref>).</p>
<table-wrap id="pntd.0013892.t001" position="float"><object-id pub-id-type="doi">10.1371/journal.pntd.0013892.t001</object-id><label>Table 1</label><caption><title>Reactivity patterns of serum samples from participants screened for Chagas disease in Feira de Santana, Bahia, Brazil.</title></caption>
<alternatives><graphic id="pntd.0013892.t001g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pntd.0013892.t001" xlink:type="simple"/><table><colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="2">Participant number</th>
<th align="left" colspan="6">In-house assays with IBMP antigens</th>
<th align="left" colspan="3">Commercial kits</th>
</tr>
<tr>
<th align="left">-8.1</th>
<th align="left">-8.2</th>
<th align="left">-8.3</th>
<th align="left">-8.4</th>
<th align="left">LCA</th>
<th align="left">P (%) *</th>
<th align="left">IHA<sup>1</sup></th>
<th align="left">GEC<sup>2</sup></th>
<th align="left">BIO<sup>3</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">1</td>
<td align="left">2.16</td>
<td align="left">0.55</td>
<td align="left">1.07</td>
<td align="left">0.41</td>
<td align="left">POS</td>
<td align="left">96.9</td>
<td align="left">1:64</td>
<td align="left">2.64</td>
<td align="left">3.96</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">2.00</td>
<td align="left">0.59</td>
<td align="left">1.03</td>
<td align="left">0.58</td>
<td align="left">POS</td>
<td align="left">96.9</td>
<td align="left">1:64</td>
<td align="left">2.54</td>
<td align="left">3.53</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">2.04</td>
<td align="left">1.58</td>
<td align="left">1.83</td>
<td align="left">2.17</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:128</td>
<td align="left">12.41</td>
<td align="left">3.03</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">0.75</td>
<td align="left">1.47</td>
<td align="left">1.53</td>
<td align="left">1.54</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:256</td>
<td align="left">7.35</td>
<td align="left">3.22</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">2.75</td>
<td align="left">1.84</td>
<td align="left">1.72</td>
<td align="left">1.85</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:256</td>
<td align="left">9.54</td>
<td align="left">2.57</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">2.95</td>
<td align="left">1.83</td>
<td align="left">1.69</td>
<td align="left">2.47</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:64</td>
<td align="left">7.89</td>
<td align="left">3.15</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">2.41</td>
<td align="left">1.54</td>
<td align="left">1.85</td>
<td align="left">1.49</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:256</td>
<td align="left">11.01</td>
<td align="left">2.99</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">1.44</td>
<td align="left">0.62</td>
<td align="left">0.58</td>
<td align="left">1.01</td>
<td align="left">POS</td>
<td align="left">99</td>
<td align="left">1:64</td>
<td align="left">2.47</td>
<td align="left">2.68</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">1.95</td>
<td align="left">1.17</td>
<td align="left">0.76</td>
<td align="left">1.23</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:128</td>
<td align="left">5.27</td>
<td align="left">2.29</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">1.89</td>
<td align="left">1.77</td>
<td align="left">1.82</td>
<td align="left">2.48</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:512</td>
<td align="left">12.71</td>
<td align="left">3.57</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">2.84</td>
<td align="left">1.08</td>
<td align="left">1.90</td>
<td align="left">2.03</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:256</td>
<td align="left">10.56</td>
<td align="left">3.26</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">2.56</td>
<td align="left">1.52</td>
<td align="left">1.81</td>
<td align="left">1.73</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:64</td>
<td align="left">10.66</td>
<td align="left">2.33</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">2.24</td>
<td align="left">1.16</td>
<td align="left">1.44</td>
<td align="left">1.75</td>
<td align="left">POS</td>
<td align="left">100</td>
<td align="left">1:512</td>
<td align="left">9.01</td>
<td align="left">2.61</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot>
<fn id="t001fn001"><p><sup>1</sup>IHA (Imuno-HAI Chagas); <sup>2</sup>GEC (Gold ELISA Chagas); <sup>3</sup>BIO (Bioelisa Chagas Recombinante); LCA (Latent Class Analysis); POS (Positive). *Probability of being <italic>T. cruzi</italic>-positive by LCA.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec012">
<title>Demographic and epidemiological characteristics of seropositive individuals</title>
<p>Among individuals classified as seropositive for <italic>T. cruzi</italic>, the median age was 60 years (IQR: 39–69), and the female-to-male ratio was 5.5:1. Seronegative individuals had a median age of 56 years (IQR: 44–64) and a female-to-male ratio of 4.8:1 (<xref ref-type="supplementary-material" rid="pntd.0013892.s001">S1 Table</xref>). Notably, 69.2% of seropositive participants were not born in Feira de Santana but had migrated from other endemic municipalities within the state of Bahia, including Conceição do Jacuípe (n = 1), Coração de Maria (n = 1), Ipirá (n = 1), Mundo Novo (n = 1), Muniz Ferreira (n = 1), Santa Maria da Vitória (n = 1), Utinga (n = 1), and Santo Estevão (n = 2) (<xref ref-type="fig" rid="pntd.0013892.g002">Fig 2</xref>). This suggests migration as a potential factor influencing local epidemiological trends.</p>
<fig id="pntd.0013892.g002" position="float"><object-id pub-id-type="doi">10.1371/journal.pntd.0013892.g002</object-id><label>Fig 2</label><caption><title>Geographic origins of individuals seropositive for <italic>Trypanosoma cruzi</italic> in Feira de Santana, Bahia, Brazil.</title><p>The map shows the municipalities of birth of participants who tested positive for Chagas disease during the Every Heartbeat Matters screening initiative. Public domain digital maps were obtained from the Brazilian Institute of Geography and Statistics (IBGE) and analyzed using QGIS version 3.10 (Geographic Information System, Open-Source Geospatial Foundation Project. <ext-link ext-link-type="uri" xlink:href="http://qgis.osgeo.org" xlink:type="simple">http://qgis.osgeo.org</ext-link>).</p></caption>
<graphic mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pntd.0013892.g002" xlink:type="simple"/></fig>
<p>Although most seropositive individuals reported awareness of their clinical condition, 23% were unaware of their <italic>T. cruzi</italic> infection status prior to participation in the screening initiative (<xref ref-type="fig" rid="pntd.0013892.g002">Fig 2</xref>).</p>
<p>All seropositive individuals were older than 46 years and were either retired or beneficiaries of government assistance programs (<xref ref-type="fig" rid="pntd.0013892.g002">Fig 2</xref>), except for one family cluster. This family consisted of two adults and three children and epidemiologically likely to a suspected episode of oral transmission after consumption of açaí juice in February 2024 near Feira de Santana. Two children (aged 9 and 13 years) and both parents (aged 40 and 38 years) tested seropositive, while one child who did not consume the juice tested seronegative. All infected family members received etiological treatment and remained under clinical follow-up.</p>
</sec>
<sec id="sec013">
<title>Risk factor analysis</title>
<p>In univariate analysis, self-reported observation of triatomine bugs inside the household was associated with a higher prevalence of <italic>T. cruzi</italic> seropositivity (PR = 4.38; 95% CI: 1.44–13.3, p = 0.004). Because triatomine exposure was not systematically compared between seropositive and seronegative individuals in the entire screened population, this association should be interpreted cautiously, as it may reflect broader characteristic of the surveyed community rather than a causal relationship. Other evaluated variables, including reported knowledge of the vector, presence of a chicken coop near the household, and family history of CD, were not significantly associated with seropositivity. This suggests that while reporting triatomine presence indoors may indicate increased risk, the association requires confirmation in broader community-based analyses (<xref ref-type="table" rid="pntd.0013892.t002">Table 2</xref>).</p>
<table-wrap id="pntd.0013892.t002" position="float"><object-id pub-id-type="doi">10.1371/journal.pntd.0013892.t002</object-id><label>Table 2</label><caption><title>Univariate analysis of epidemiological factors associated with <italic>Trypanosoma cruzi</italic> seropositivity in participants from Feira de Santana, Bahia, Brazil.</title></caption>
<alternatives><graphic id="pntd.0013892.t002g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pntd.0013892.t002" xlink:type="simple"/><table><colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="left" rowspan="2">Variables</th>
<th align="left" colspan="3">Univariate analysis</th>
</tr>
<tr>
<th align="left">PR</th>
<th align="left">95%CI</th>
<th align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Prior exposure to triatomines</td>
<td align="left">4.38</td>
<td align="left">1.44 to 13.3</td>
<td align="left">0.004</td>
</tr>
<tr>
<td align="left">Presence of a chicken coop</td>
<td align="left">0.82</td>
<td align="left">0.27 to 2.48</td>
<td align="left">0.730</td>
</tr>
<tr>
<td align="left">Familial history of CD</td>
<td align="left">1.81</td>
<td align="left">0.59 to 5.55</td>
<td align="left">0.285</td>
</tr>
</tbody>
</table>
</alternatives><table-wrap-foot>
<fn id="t002fn001"><p>PR (Prevalence ratio), β (Log-odds coefficient), CD (Chagas disease) CI (Confidence interval).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec014" sec-type="conclusions">
<title>Discussion</title>
<p>This study leverages a community-based cardiac screening initiative to conduct a seroepidemiological survey, integrating large-scale ECG and echocardiographic screening for the identification of CD. A significant association was identified between self-reported household observation of triatomine bugs and <italic>T. cruzi</italic> seropositivity, underscoring vector exposure as a key factor associated with CD occurrence in endemic regions. While other environmental factors, such as the presence of chicken coops near households and family history of CD, were not significantly associated, direct exposure to the vector emerged as the strongest factor linked to a higher prevalence of infection. These findings are consistent with previous studies emphasizing the critical role of domestic vector infestation in sustaining transmission cycles [<xref ref-type="bibr" rid="pntd.0013892.ref020">20</xref>,<xref ref-type="bibr" rid="pntd.0013892.ref021">21</xref>].</p>
<p>The overall seropositivity rate of <italic>T. cruzi</italic> infection observed in this study (8.5%) is comparable to reports from other endemic areas of Bahia [<xref ref-type="bibr" rid="pntd.0013892.ref004">4</xref>–<xref ref-type="bibr" rid="pntd.0013892.ref006">6</xref>], reinforcing the persistent public health challenge posed by CD. The high seropositivity rate among individuals reporting the presence of triatomines inside their households highlights the need for effective vector control programs. In addition to reducing domestic infestation, community education focused on vector recognition and preventive measures remains essential to disrupt transmission dynamics.</p>
<p>A notable observation was that most <italic>T. cruzi</italic>-positive individuals currently residing in Feira de Santana were born in other endemic areas. This finding suggests that many infections likely occurred prior to migration, highlighting the influence of population mobility on CD epidemiology. However, it remains unclear whether migration itself represents an independent risk factor for <italic>T. cruzi</italic> transmission or whether expose occurred in the individuals’ places of origin before relocation. The absence of longitudinal data on the timing of infection limits causal inferences related to migration, as transmission may have occurred either before or after resettlement. Furthermore, differences in vector control programs and access to healthcare across endemic regions may differentially influence infection risks among migrant populations. These findings support the need for targeted interventions and emphasize the importance of integrating migrant populations into local healthcare systems. Tailored strategies to improve access to diagnostic and treatment services for migrant communities are essential to reduce the overall burden of CD in endemic regions.</p>
<p>Further analysis revealed that individuals who reported finding triatomines in their households presented fourfold higher prevalence of <italic>T. cruzi</italic> infection (PR = 4.38, p = 0.004) compared with those who did not report vector presence indoors. This result further underscores the central role of domestic vector infestation in maintaining transmission cycles and corroborates previous research identifying in-home triatomine presence as a critical determinant of infection risk [<xref ref-type="bibr" rid="pntd.0013892.ref020">20</xref>,<xref ref-type="bibr" rid="pntd.0013892.ref021">21</xref>]. The lack of significant associations for other variables, such as general knowledge about the vector or the presence of chicken coops, reinforces the primacy of direct vector contact in transmission dynamics.</p>
<p>From a methodological perspective, the use of IBMP chimeric antigens for serological screening, complemented by commercial assays for case validation, resulted in high diagnostic accuracy. The application of latent class analysis to classify seropositive cases minimized misclassification bias and enhanced the reliability of the findings. These methodological strengths demonstrate the value of integrating innovative diagnostic tools into community-based health initiatives to effectively address CD in endemic regions.</p>
<p>Although most participants were aware of their clinical conditions, it is noteworthy that 23% of individuals identified as <italic>T. cruzi</italic>-positive were unaware of their infection status. This finding highlights the insidious nature of chronic CD, which may remain asymptomatic or manifest with nonspecific symptoms for prolonged periods, thereby complicating timely diagnosis. Limited access to healthcare services, suboptimal screening practices, and low disease awareness in at-risk communities likely contribute to this diagnostic gap. The fact that nearly one quarter of seropositive individuals were previously undiagnosed underscores the need for enhanced community-based screening programs, particularly in endemic settings. By integrating serological testing with cardiac screening initiatives, as demonstrated in this study, early detection and intervention become feasible, potentially reducing disease progression and long-term morbidity. This observation aligns with previous studies reporting substantial proportions of undiagnosed infections in similar contexts [<xref ref-type="bibr" rid="pntd.0013892.ref022">22</xref>–<xref ref-type="bibr" rid="pntd.0013892.ref024">24</xref>].</p>
<p>However, the cross-sectional design of this study limits causal inferences, and the relatively small number of seropositive cases may affect the generalizability of the findings. In addition, recruitment through a cardiac screening initiative introduces potential selection bias, as individuals with underlying cardiovascular abnormalities may not be representative of the broader population at risk for <italic>T. cruzi</italic> infection. This could lead to an overestimation of seropositivity in this subgroup while underrepresenting asymptomatic or early-stage infections in the general community. To mitigate sampling bias in serologic testing, a computer-generated random selection of low-risk controls based on ECG-AI scores was applied, improving the representativeness of the tested sample. Future longitudinal studies with larger, community-based populations, such as those planned within the Oxente Chagas Project [<xref ref-type="bibr" rid="pntd.0013892.ref025">25</xref>], are needed to further explore the temporal dynamics of infection risk and validate these findings.</p>
<p>In conclusion, this study provides important insights into the epidemiology of <italic>T. cruzi</italic> infection in Feira de Santana, Bahia, emphasizing the central role of vector exposure in CD transmission. The integration of seroepidemiological surveys with cardiac screening initiatives represents a valuable model for identifying at-risk populations and improving early detection of CD. Continued investment in vector control, diagnostic innovation, and public health education remains essential to reduce the burden of CD in endemic regions [<xref ref-type="bibr" rid="pntd.0013892.ref020">20</xref>,<xref ref-type="bibr" rid="pntd.0013892.ref026">26</xref>]. These findings underscore the importance of community-based health initiatives in advancing CD control and improving outcomes in underserved and vulnerable populations.</p>
</sec>
<sec id="sec015" sec-type="supplementary-material">
<title>Supporting information</title>
<supplementary-material id="pntd.0013892.s001" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" position="float" xlink:href="info:doi/10.1371/journal.pntd.0013892.s001" xlink:type="simple">
<label>S1 Table</label>
<caption>
<title>Sociodemographic, epidemiological, and serological characteristics of the study samples.</title>
<p>(XLSX)</p>
</caption>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<p>We are grateful to the Holy House of Mercy team in Feira da Santana for their invaluable assistance in performing this study.</p>
</ack>
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<p><named-content content-type="letter-date">31 Jul 2025</named-content></p>
<p>Seroepidemiological survey and seropositivity rate for Trypanosoma cruzi infection in a community-based cardiac screening initiative in Feira de Santana, Bahia, Brazil</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>Dear Dr. Santos,</p>
<p>Thank you for submitting your manuscript to PLOS Neglected Tropical Diseases. After careful consideration, we feel that it has merit but does not fully meet PLOS Neglected Tropical Diseases's publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.</p>
<p>Please submit your revised manuscript within 60 days Sep 29 2025 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosntds@plos.org. When you're ready to submit your revision, log on to <ext-link ext-link-type="uri" xlink:href="https://www.editorialmanager.com/pntd/" xlink:type="simple">https://www.editorialmanager.com/pntd/</ext-link> and select the 'Submissions Needing Revision' folder to locate your manuscript file.</p>
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<p>If you would like to make changes to your financial disclosure, competing interests statement, or data availability statement, please make these updates within the submission form at the time of resubmission. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.</p>
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<p>PLOS Neglected Tropical Diseases</p>
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<p>PLOS Neglected Tropical Diseases</p>
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<p>PLOS Neglected Tropical Diseases</p>
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<p><bold>Journal Requirements:</bold></p>
<p>- We do not publish any copyright or trademark symbols that usually accompany proprietary names, eg ©,  ®, or TM  (e.g. next to drug or reagent names). Therefore please remove all instances of trademark/copyright symbols throughout the text, including:</p>
<p>- ® on pages: 7, 9, and 10.</p>
<p><bold>Reviewers' Comments:</bold></p>
<p>Reviewer's Responses to Questions</p>
<p><bold>Key Review Criteria Required for Acceptance?</bold></p>
<p>As you describe the new analyses required for acceptance, please consider the following:</p>
<p><bold>Methods:</bold></p>
<p>-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?</p>
<p>-Is the study design appropriate to address the stated objectives?</p>
<p>-Is the population clearly described and appropriate for the hypothesis being tested?</p>
<p>-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?</p>
<p>-Were correct statistical analysis used to support conclusions?</p>
<p>-Are there concerns about ethical or regulatory requirements being met?</p>
<p>Reviewer #1: Once Bahia State presents one of the highest triatomine infestation rates in Brazil, the hypothesis of the study should be presented in a testable way.</p>
<p>The design is appropriate and in accordance with the objectives and the obtained results; the sample size is appropriate and the ethical issues are well addressed.</p>
<p>Reviewer #2: The objectives are clear and consistent with the cross-sectional study design. I believe that the sample size is sufficient and appropriate for the hypothesis tested using algorithm-based artificial intelligence as a technological tool, and the statistical analysis supports the conclusions. There are no ethical concerns.</p>
<p>Reviewer #3: In the absence of a parasitological test, the WHO recommends and is internationally accepted that a definitive serological diagnosis must be based on two distinct serological tests. This is especially important in trypanosomatids, where cross-reactivity with other Trypanosoma species and even Leishmania is reported. The inclusion of a second test should not be presented as “Reference Testing”, but as second confirmatory for the ELISA. Even using four chimeric proteins, it remains the same test (ELISA), and the high chance of cross-reactivity (Leishmaniasis is a reality throughout Brazil) increases the risk of false positives. Morevoer, The echocardiographic test cannot be considered a screening test, given that several other diseases present with cardiac dysfunction, and a high percentage of Chagas seropositive individuals do not develop symptoms.</p>
<p>The “structured questionnaire” (line 100) wasn't presented, and I imagine it's not just the three questions that appear in the following paragraph.</p>
<p>Electrocardiogram (ECG) and echocardiography: Which equipment? How was it performed? By the same professional? Who interpreted the results? The methodological approach is lacking in detail.</p>
<p>Artificial intelligence (AI)-based algorithm: How was it done? What was the methodology?</p>
<p>“Clinical data” (line 110): What clinical symptoms formed the basis for the clinical data? Who collected it? What aspects were assessed?</p>
<p><bold>Results:</bold></p>
<p>-Does the analysis presented match the analysis plan?</p>
<p>-Are the results clearly and completely presented?</p>
<p>-Are the figures (Tables, Images) of sufficient quality for clarity?</p>
<p>Reviewer #1: The results are well presented and ilustrated in the tables and figs</p>
<p>The legends must be revised</p>
<p>Reviewer #2: The results are presented as planned, in a clear and concise manner with self-explanatory figures and tables. Positive highlights of the study include the integration of new diagnostic tools into health initiatives and the efficient approach to detecting Chagas disease in endemic regions.</p>
<p>Reviewer #3: The association with presence of triatomine bugs cannot be done because authors didn’t compare this trait to the negatives. It could just reflect the overall population characteristic.</p>
<p>Lines 177-178: These results need to be better described. If they are part of another study, you need to reference the other study that contains these data.</p>
<p>The “AI algorithm” (line 179): There is also a lack of information on how it was produced and tested.</p>
<p>“…based on predefined criteria…” (line 181): criteria not presented in the article</p>
<p>Line 187: Why false positives, since several other diseases besides Chagas' disease cause heart problems? Several other diseases present with cardiac dysfunction, and a high percentage of Chagas seropositive individuals do not develop symptoms.</p>
<p>Lines 202-203: This affirmation cannot be done because negative samples, in one and/or the commercial tests, were evaluated.</p>
<p><bold>Conclusions:</bold></p>
<p>-Are the conclusions supported by the data presented?</p>
<p>-Are the limitations of analysis clearly described?</p>
<p>-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?</p>
<p>-Is public health relevance addressed?</p>
<p>Reviewer #1: Conclusions are in accordance with the obtained results which are well discussed</p>
<p>The manuscript presents a relevant analysis on Chagas disease, which represents an important public health concern</p>
<p>Reviewer #2: The conclusions are appropriate to the data and highlight the limitations of the study. There is good discussion of the data in light of the epidemiologic indicators related to Chagas disease. It also addresses the importance of reporting suspected cases in primary care and public health services, early diagnosis, and gaps in the availability of etiologic treatment as relevant factors in controlling parasite transmission. It also highlights the importance of integrating seroepidemiologic surveys with cardiac screening, which I believe is a valuable model for identifying at-risk populations and improving early detection of T. cruzi infection. The data also show that it is necessary and essential to invest in diagnostic innovation to fill the gaps that still exist in the availability of etiologic treatment and relevant factors in the control of parasite transmission and ongoing epidemiologic surveillance.</p>
<p>Reviewer #3: It could not be evaluated because of the appointments above described.</p>
<p><bold>Editorial and Data Presentation Modifications?</bold></p>
<p>Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.</p>
<p>Reviewer #1: (No Response)</p>
<p>Reviewer #2: Scientific names should be written in italic letters.</p>
<p>Reviewing the list of references.</p>
<p>Corrections are highlighted in yellow in the text. See attached manuscript.</p>
<p>Reviewer #3: Reject</p>
<p><bold>Summary and General Comments:</bold></p>
<p>Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.</p>
<p>Reviewer #1: Review PNTD-D-25-00569</p>
<p>General Comments: This is a very relevant manuscript, which updates and integrates a seroepidemiological survey with large-scale echocardiographic screening to estimate the prevalence of T. cruzi infection and identify associated risk factors in Feira de Santana, Bahia, Brasil. The manuscript is well written, presented, the methodology is in accordance with the objectives, and results. The main concern is the short introduction. A few other issues were also detected therefore, changes are recommended before the final acceptance of the manuscript in the PNTD.</p>
<p>Specific comments</p>
<p>Abstract please provide brief information on the place the study was carried out.</p>
<p>Introduction</p>
<p>Please provide a brief background on Bahia State related to epidemiological survey on Chagas disease as well as for Feira de Santana. The authors cite reference n. 4 however, we recommend a few words on the CD in Bahia and specially in Feira de Santana Municipality.</p>
<p>Also, it is recommended some words on the triatomine fauna in Bahia State, which presents the richest biodiversity of CD vector species, being one of the most infested states in Brasil. In addition to that new species have been described, revalidated in that state and also new triatomine species have been getting adapted to the human dwellings enhancing the risk of transmission of Chagas disease.</p>
<p>The authors mention the vectors as a risk factor for CD therefore, it is recommended including some references mentioning the vector species in Bahia.</p>
<p>Costa J, Almeida CE, Dotson EM, Lins A, Vinhaes M, Silveira AC, et al. The epidemiologic importance of Triatoma brasiliensis as a Chagas disease vector in Brazil: a revision of domiciliary captures during 1993-1999. Mem Inst Oswaldo Cruz. 2003; 98(4): 443-9.</p>
<p>Gurgel-Gonçalves R, Galvão C, Costa J, Peterson AT. Geographic distribution of Chagas disease vectors in Brazil based on ecological niche modeling. J Trop Med. 2012; 705326.</p>
<p>Costa, J.; Dale, C.; Galvão, C.; Almeida, C.E.; Dujardin, J.P. Do the new triatomine species pose new challenges or strategies for monitoring Chagas disease? An overview from 1979–2021. Mem. Inst. Oswaldo Cruz 2021, 116, e210015.</p>
<p>M &amp; M</p>
<p>Please provide relevant information about Feira de Santana, physio geographic information based for instance in IBGE data and more specifically about the place the analyzed people reside, age, sex, socio economic status etc.</p>
<p>Discussion</p>
<p>From lines 312 – 315 please, include a reference in the text</p>
<p>From lines 333-335 please, include a reference in the text</p>
<p>Figs and Legends</p>
<p>Legends should be self-explanatory, please revise the legend of fig 1 providing information about the locality, the disease and any other relevant additional information. The same is applied for Table 1, fig 2 and Table 2</p>
<p>Reviewer #2: This study demonstrates how we can improve diagnostic strategies for T. cruzi infection using large-scale digital health AI tools aimed at overcoming barriers to identifying seropositive patients with excellent results. The significant association between household observation and the presence of triatomine highlights the ongoing exposure to the vector and the occurrence of parasite transmission in endemic areas. Given the possibility of increased risk of infection, it is important to emphasize the importance of early diagnosis using innovative methods, prompt etiologic treatment of cases, and well-designed clinical follow-up.</p>
<p>Reviewer #3: There are structural issues and a lack of clarity in the text. The methodology is not presented in full, and as a result, there is a lack of information to evaluate the results and discussion presented. The primary objective “estimate the seropositivity rate of T. cruzi infection” (lines 89-90) cannot be achieved with the proposal methodology.</p>
<p>PLOS authors have the option to publish the peer review history of their article (<ext-link ext-link-type="uri" xlink:href="https://journals.plos.org/plosntds/s/editorial-and-peer-review-process#loc-peer-review-history" xlink:type="simple">what does this mean?</ext-link> ). If published, this will include your full peer review and any attached files.</p>
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<p>Reviewer #1: No</p>
<p>Reviewer #2: No</p>
<p>Reviewer #3: No</p>
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<p><bold>Figure resubmission:</bold></p>
<p>While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, <ext-link ext-link-type="uri" xlink:href="https://pacev2.apexcovantage.com/" xlink:type="simple">https://pacev2.apexcovantage.com/</ext-link>. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. If there are other versions of figure files still present in your submission file inventory at resubmission, please replace them with the PACE-processed versions.</p>
<p><bold>Reproducibility:</bold></p>
<p>?&gt;</p>
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<p><named-content content-type="author-response-date">30 Sep 2025</named-content></p>
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<article-title>Decision Letter 1</article-title>
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<contrib contrib-type="author">
<name name-style="western"><surname>Werneck</surname>
<given-names>Guilherme</given-names>
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<role>Section Editor</role>
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<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link> , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license>
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<p><named-content content-type="letter-date">7 Dec 2025</named-content></p>
<p><underline>Response to Reviewers</underline><underline>Revised Manuscript with Track Changes</underline><underline>Manuscript</underline></p>
<p>Shaden Kamhawi</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>orcid.org/0000-0003-4304-636XX</p>
<p>Paul Brindley</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>orcid.org/0000-0003-1765-0002</p>
<p><bold>Additional Editor Comments:</bold>--&gt; --&gt;--&gt;The revised manuscript represents a significant improvement, but we need an explicit consideration regarding the concern about "the absence of a second serological test to confirm infection" raised by Reviewer #3. Could the lack of such a confirmatory test have biased the results of the study?--&gt;--&gt; --&gt;--&gt; --&gt;--&gt;?&gt;<bold>Journal Requirements:</bold></p>
<p><bold>Reviewers' comments:</bold></p>
<p><bold>Key Review Criteria Required for Acceptance?</bold></p>
<p>As you describe the new analyses required for acceptance, please consider the following:</p>
<p><bold>Methods</bold></p>
<p>-Are the objectives of the study clearly articulated with a clear testable hypothesis stated?</p>
<p>-Is the study design appropriate to address the stated objectives?</p>
<p>-Is the population clearly described and appropriate for the hypothesis being tested?</p>
<p>-Is the sample size sufficient to ensure adequate power to address the hypothesis being tested?</p>
<p>-Were correct statistical analysis used to support conclusions?</p>
<p>-Are there concerns about ethical or regulatory requirements being met?</p>
<p>Reviewer #1: The manuscript was greatly improved. The objectives are clear and the design is appropriate to address the objectives.</p>
<p>The manuscrilpt presents sufficient sample size to anwer the objectives. All concerns about ethical or regulatory requrements were clarified.</p>
<p>Reviewer #2: The objectives are clear and consistent with the cross-sectional study design. In this study, the sample population corresponds to the tested hypothesis, and the statistical analysis supports the conclusions. There are no ethical concerns.</p>
<p>Reviewer #3: The main point made by me in the previous version was not answered: the absence of a second serological test to confirm infection. This absence impacts the entire article because it lacks the necessary robustness to define those infected humans. Another unresolved point is associating the questionnaire on triatomine exposure only with serologically positive and not negative tests. The authors agreed and included this as a limitation, but simply including this limitation does not validate the analysis. Because I understand the first aspect impacts the accuracy of the diagnosis on which the entire article is based, I maintain my recommendation to reject the article.</p>
<p>**********</p>
<p><bold>Results</bold></p>
<p>-Does the analysis presented match the analysis plan?</p>
<p>-Are the results clearly and completely presented?</p>
<p>-Are the figures (Tables, Images) of sufficient quality for clarity?</p>
<p>Reviewer #1: The results are clear and matcher the analysis plan and presented in full. Figs and tables are sufficient to illustrate the obtained data.</p>
<p>Reviewer #2: The data analysis corresponds to the study plan, which involved investigating the prevalence of Trypanosoma cruzi infection and associated risk factors in an area endemic for Chagas disease in the state of Bahia, Brazil using a cardiac screening programme. The seropositivity rate in this area is 8.5%. The data are clear and complete, figures and tables are self-explanatory and of a high standard.</p>
<p>Reviewer #3: (No Response)</p>
<p>**********</p>
<p><bold>Conclusions</bold></p>
<p>-Are the conclusions supported by the data presented?</p>
<p>-Are the limitations of analysis clearly described?</p>
<p>-Do the authors discuss how these data can be helpful to advance our understanding of the topic under study?</p>
<p>-Is public health relevance addressed?</p>
<p>Reviewer #1: The conclusion is now addressing all relevant results obtained in the revised study encompassing a important topic on public heath once it updates the seroepidemiological and seropositivity data in Ferira de Santana, BA, Brazil. The obtained data was clearly discussed and contextualized in terms of advances and understanding Chagas disease in the studied area</p>
<p>Reviewer #2: The conclusions are appropriate to the data emphasizing the study limitations to study cross-sectional design. The study emphasises the significance of vector exposure in the transmission of Chagas disease, underscoring the necessity of targeted interventions. Further longitudinal studies involving larger community-based samples are required to investigate the temporal dynamics of infection risk by the parasite, and to validate these findings within broader populations.</p>
<p>Reviewer #3: (No Response)</p>
<p>**********</p>
<p><bold>Editorial and Data Presentation Modifications?</bold></p>
<p>Use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity. If the only modifications needed are minor and/or editorial, you may wish to recommend “Minor Revision” or “Accept”.</p>
<p>Reviewer #1: The manuscript can now be accepted for publication</p>
<p>Reviewer #2: I suggest reviewing the entire manuscript of the text and references.</p>
<p>Reviewer #3: (No Response)</p>
<p>**********</p>
<p><bold>Summary and General Comments</bold></p>
<p>Use this section to provide overall comments, discuss strengths/weaknesses of the study, novelty, significance, general execution and scholarship. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. If requesting major revision, please articulate the new experiments that are needed.</p>
<p>Reviewer #1: All issues were already addressed</p>
<p>Reviewer #2: I suggest that the authors review the entire manuscript, including the references. I recommend stating that transmission is of the etiological agent, T. cruzi, rather than of the disease itself, since most individuals with positive serology remain asymptomatic.</p>
<p>Reviewer #3: (No Response)</p>
<p>**********</p>
<p>PLOS authors have the option to publish the peer review history of their article (<ext-link ext-link-type="uri" xlink:href="https://journals.plos.org/plosntds/s/editorial-and-peer-review-process#loc-peer-review-history" xlink:type="simple">what does this mean?</ext-link> ). If published, this will include your full peer review and any attached files.</p>
<p>If you choose “no”, your identity will remain anonymous but your review may still be made public.</p>
<p><bold>Do you want your identity to be public for this peer review?</bold> For information about this choice, including consent withdrawal, please see our <ext-link ext-link-type="uri" xlink:href="https://www.plos.org/privacy-policy" xlink:type="simple">Privacy Policy</ext-link> .</p>
<p>Reviewer #1: No</p>
<p>Reviewer #2: No</p>
<p>Reviewer #3: No</p>
<p><bold>Figure resubmission:</bold></p>
<p><bold>Reproducibility:</bold>--&gt; --&gt;--&gt;To enhance the reproducibility of your results, we recommend that authors of applicable studies deposit laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at <ext-link ext-link-type="uri" xlink:href="https://plos.org/protocols?utm_medium=editorial-email&amp;utm_source=authorletters&amp;utm_campaign=protocols--&gt;?&gt;" xlink:type="simple">https://plos.org/protocols?utm_medium=editorial-email&amp;utm_source=authorletters&amp;utm_campaign=protocols--&gt;?&gt;</ext-link></p>
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<p><named-content content-type="letter-date">22 Dec 2025</named-content></p>
<p>Dear Dr Santos,</p>
<p>We are pleased to inform you that your manuscript 'Seroepidemiological survey and seropositivity rate for Trypanosoma cruzi infection in a community-based cardiac screening initiative in Feira de Santana, Bahia, Brazil' has been provisionally accepted for publication in PLOS Neglected Tropical Diseases.</p>
<p>Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.</p>
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<p>IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.</p>
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<p>Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.</p>
<p>Best regards,</p>
<p>Guilherme L Werneck</p>
<p>Section Editor</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>Guilherme Werneck</p>
<p>Section Editor</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>Shaden Kamhawi</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>orcid.org/0000-0003-4304-636XX</p>
<p>Paul Brindley</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>orcid.org/0000-0003-1765-0002</p>
<p>***********************************************************</p>
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<p>Dear Dr Santos,</p>
<p>We are delighted to inform you that your manuscript, " </p>
<p>Seroepidemiological survey and seropositivity rate for Trypanosoma cruzi infection in a community-based cardiac screening initiative in Feira de Santana, Bahia, Brazil," has been formally accepted for publication in PLOS Neglected Tropical Diseases.</p>
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<p>Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Neglected Tropical Diseases.</p>
<p>Best regards,</p>
<p>Shaden Kamhawi</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
<p>Paul Brindley</p>
<p>co-Editor-in-Chief</p>
<p>PLOS Neglected Tropical Diseases</p>
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