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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2022.871865</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence and Risk Factors for HTLV-1/2 Infection in Quilombo Remnant Communities Living in the Brazilian Amazon</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Brito</surname> <given-names>Wandrey Roberto dos Santos</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Cardoso-Costa</surname> <given-names>Greice de Lemos</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Roland Junior</surname> <given-names>Lourival Marques</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Pereira</surname> <given-names>Keise Adrielle Santos</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lopes</surname> <given-names>Felipe Teixeira</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Santos</surname> <given-names>Bernardo Cintra dos</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1677615/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>de Lima</surname> <given-names>Aline Cecy Rocha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Abreu</surname> <given-names>Isabella Nogueira</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lima</surname> <given-names>Carlos Neandro Cordeiro</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lima</surname> <given-names>Sandra Souza</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/674936/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cayres Vallinoto</surname> <given-names>Izaura M. Vieira</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/470755/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Santos</surname> <given-names>Eduardo Jos&#x000E9; Melo dos</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/459198/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Guerreiro</surname> <given-names>Jo&#x000E3;o Farias</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vallinoto</surname> <given-names>Antonio Carlos Ros&#x000E1;rio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/83503/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Laboratory of Virology, Institute of Biological Sciences, Federal University of Par&#x000E1;</institution>, <addr-line>Bel&#x000E9;m</addr-line>, <country>Brazil</country></aff>
<aff id="aff2"><sup>2</sup><institution>Postgraduate Program in Biology of Infectious and Parasitic Agents, Institute of Biological Sciences, Federal University of Par&#x000E1;</institution>, <addr-line>Bel&#x000E9;m</addr-line>, <country>Brazil</country></aff>
<aff id="aff3"><sup>3</sup><institution>Laboratory of Human and Medical Genetics, Institute of Biological Sciences, Federal University of Par&#x000E1;</institution>, <addr-line>Bel&#x000E9;m</addr-line>, <country>Brazil</country></aff>
<aff id="aff4"><sup>4</sup><institution>Laboratory of Genetics of Complex Diseases, Institute of Biological Sciences, Federal University of Par&#x000E1;</institution>, <addr-line>Bel&#x000E9;m</addr-line>, <country>Brazil</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Yoav Keynan, University of Manitoba, Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Roberta Bruhn, Vitalant Research Institute, United States; Fred Luciano Neves Santos, Gon&#x000E7;alo Moniz Institute (IGM), Brazil</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Antonio Carlos Ros&#x000E1;rio Vallinoto <email>vallinoto&#x00040;ufpa.br</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases - Surveillance, Prevention and Treatment, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>871865</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Brito, Cardoso-Costa, Roland Junior, Pereira, Lopes, Santos, de Lima, Abreu, Lima, Lima, Cayres Vallinoto, Santos, Guerreiro and Vallinoto.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Brito, Cardoso-Costa, Roland Junior, Pereira, Lopes, Santos, de Lima, Abreu, Lima, Lima, Cayres Vallinoto, Santos, Guerreiro and Vallinoto</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract>
<p>Human T-lymphotropic viruses 1 and 2 (HTLV-1 and HTLV-2) are retroviruses that originated on the African continent and dispersed throughout other continents through human migratory flows. This study describes the prevalence of HTLV-1 and HTLV-2 infection in residents of 11 quilombo remnant communities in the state of Par&#x000E1;, Brazil, and the associated risk factors. A total of 859 individuals (334 men and 525 women), aged between 7 and 91 years, participated in the study. All subjects answered a questionnaire with questions on sociodemographic characteristics and on risk factors associated with HTLV infection, and blood samples were collected and separated into plasma and leukocytes. An immunoenzymatic assay (ELISA; Murex HTLV-I&#x0002B;II, DiaSorin, Dartford, UK) was used as a screening test, and positive samples were subjected to line immunoassay confirmatory tests (Inno-LIA HTLV I/II Score FUJIREBIO) and DNA extraction for subsequent real-time PCR to differentiate the viral type. Four of the 859 individuals were seropositive for HTLV. HTLV-1 infection was confirmed in one individual from the Itamoari community (0.92%), and HTLV-2 infection was confirmed in two individuals from S&#x000E3;o Benedito (3.17%) and in one individual from Arimandeua (2.22%). Blood transfusion was the only risk factor associated with HTLV infection in this study. This study reports the occurrence of HTLV-1 and HTLV-2 in quilombo remnant communities in the state of Par&#x000E1;. Considering the African origin of the virus and its introduction into Brazil from the slave trade, the continued evaluation of quilombola communities in the state of Par&#x000E1; is essential to better characterize the distribution of infections in these populations and to create public health policies for the control of the spread of the virus and associated diseases.</p></abstract>
<kwd-group>
<kwd>HTLV-1/2</kwd>
<kwd>Amazon</kwd>
<kwd>quilombos</kwd>
<kwd>epidemiology</kwd>
<kwd>vulnerable population</kwd>
</kwd-group>
<contract-num rid="cn001">301869/2017-0</contract-num>
<contract-num rid="cn001">442522/2019-3</contract-num>
<contract-num rid="cn002">PAPQ/2022</contract-num>
<contract-sponsor id="cn001">Conselho Nacional de Desenvolvimento Cient&#x000ED;fico e Tecnol&#x000F3;gico<named-content content-type="fundref-id">10.13039/501100003593</named-content></contract-sponsor>
<contract-sponsor id="cn002">Pr&#x000F3;-Reitoria de Pesquisa e P&#x000F3;s-Gradua&#x000E7;&#x000E3;o, Universidade Federal do Par&#x000E1;<named-content content-type="fundref-id">10.13039/100017425</named-content></contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="59"/>
<page-count count="8"/>
<word-count count="6025"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Human T-lymphotropic viruses 1 (HTLV-1) and 2 (HTLV-2) were the first isolated retroviruses to infect humans (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). They are viruses with known tropism for T lymphocytes and belong to the family <italic>Retroviridae</italic>, subfamily <italic>Orthoretrovirinae</italic>, and genus <italic>Deltaretrovirus</italic> (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). Evidence suggests an African origin for both viruses from independent events of interspecies transmission of the simian T-lymphotropic virus (STLV-1 and STLV-2) from non-human primates to humans (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B8">8</xref>). HTLV-1 has been associated with several diseases, particularly a neoplasm, i.e., adult T cell leukemia/lymphoma (ATLL), and an inflammatory neurodegenerative disease, i.e., HTLV-1-associated myelopathy (HAM) (<xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>). In addition, HTLV-1 is also associated with ocular (uveitis) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>), rheumatologic (<xref ref-type="bibr" rid="B14">14</xref>) and pulmonary (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>) diseases, among other pathologies (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). HTLV-2, in turn, does not have clinical manifestations necessarily associated with infection; however, clinical symptoms have been described in some patients (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>The main forms of HTLV-1/2 transmission are unprotected sex (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), blood transfusion (<xref ref-type="bibr" rid="B24">24</xref>), sharing syringes and needles (<xref ref-type="bibr" rid="B25">25</xref>), and vertical transmission, in particular, prolonged breastfeeding (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). HTLV-1 is widely distributed in geographic areas such as sub-Saharan Africa, Japan, Melanesia, the Caribbean, and South America (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B31">31</xref>). HTLV-2 has a more restricted distribution to pygmy populations in Africa and to indigenous peoples of the Americas, especially in the Brazilian Amazon region (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B32">32</xref>&#x02013;<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>The entry of HTLV-1 into Brazil must have occurred along the east coast of the country, between the 16th and 19th centuries, through the African slave trade (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). HTLV-2 may have followed the oldest human migratory flows that occurred thousands of years ago from the Asian continent via the Bering Strait, reaching North America and moving toward South America and, thus, Brazil (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>). In Brazil, the viruses are distributed throughout the territory, and the main foci of infection are found in the North and Northeast regions (<xref ref-type="bibr" rid="B40">40</xref>). In the North region of the country, in the state of Par&#x000E1;, HTLV-1, and HTLV-2 have been described in several population strata, including urban, rural, and riverine populations, blood donors, and pregnant women, in addition to the presence of coinfections in people living with HIV (PLHIV), intravenous drug users, and isolated populations such as indigenous and quilombola peoples (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B41">41</xref>&#x02013;<xref ref-type="bibr" rid="B47">47</xref>). During the colonial period in Brazil, enslaved blacks in search of freedom fled coffee and sugarcane farms to the forest interior, where they formed isolated societies called quilombos. In the state of Par&#x000E1;, there are indications that quilombos formed in the 18th century, of which many were formed on the banks of rivers, such as the Gurupi, Tocantins, and Trombetas rivers (<xref ref-type="bibr" rid="B48">48</xref>). Many quilombo remnant communities lack basic sanitation, which promotes the transmission of diseases and fosters precarious health conditions; thus, this is one of the most vulnerable populations in Brazil (<xref ref-type="bibr" rid="B49">49</xref>&#x02013;<xref ref-type="bibr" rid="B51">51</xref>). Infections by HTLV-1 and HTLV-2 have already been described in quilombo remnant communities in the Maraj&#x000F3; Archipelago (<xref ref-type="bibr" rid="B43">43</xref>), but there are no studies on these viruses in other quilombos in the state of Par&#x000E1;. Thus, the aim of this study was to describe the prevalence of HTLV-1 and HTLV-2 and the main risk factors in 11 quilombola communities in the state of Par&#x000E1;.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Population and Sample Collection</title>
<p>A total of 11 quilombola communities located in the state of Par&#x000E1; (northern Brazil) were visited from September 2020 to April 2021, and information was collected from 859 individuals. The following communities were studied: Poeirinha (<italic>n</italic> = 20), Umarizal Beira (<italic>n</italic> = 303), Arimandeua (<italic>n</italic> = 45), Aripij&#x000F3; (<italic>n</italic> = 31), Bacuri (<italic>n</italic> = 10), Cabanagem (<italic>n</italic> = 17), S&#x000E3;o Benedito (<italic>n</italic> = 63), Bela Aurora (<italic>n</italic> = 35), Camiranga (<italic>n</italic> = 89), Itamoari (<italic>n</italic> = 109), and Nova Juta&#x000ED; (<italic>n</italic> = 137) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Geographic location of the quilombolas communities: Poeirinha, municipality of Bonito; Bela Aurora, Camiranga and Itamoari, municipality of Cachoeira do Piri&#x000E1;; Arimandeua, Aripij&#x000F3; Bacuri, Cabanagem, and S&#x000E3;o Benedito, municipality of Camet&#x000E1;; Umarizal Beira, municipality of Bai&#x000E3;o; and Nova Juta&#x000ED;, municipality of Breu Branco. PA, Para State; Bel&#x000E9;m, capital of the Para State; AP, Amap&#x000E1; State; TO, Tocantins State; RR, Roramia State; AM, Amazonas State; AC, Acre State; RO, Rond&#x000F4;nia State.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-871865-g0001.tif"/>
</fig>
<p>All study participants signed an informed consent form and answered a questionnaire with questions about sociodemographic aspects (age, sex, marital status, education, and family income) and behavioral risk factors for exposure to HTLV (&#x0201C;tattoos,&#x0201D; &#x0201C;use of illicit drugs,&#x0201D; &#x0201C;blood transfusion,&#x0201D; &#x0201C;piercings,&#x0201D; &#x0201C;sexually active,&#x0201D; &#x0201C;use of condoms,&#x0201D; and &#x0201C;previous diagnosis of STI,&#x0201D; among others). Individuals under 18 years old signed an informed assent form, and their legal guardians signed an informed consent form.</p>
<p>From all participants, peripheral blood samples (4 mL) were collected in vacuum tubes containing ethylenediaminetetraacetic acid (EDTA) as an anticoagulant. The samples were then subjected to centrifugation to separate the plasma and leukocyte fractions, followed by storage at &#x02212;20&#x000B0;C until use.</p>
</sec>
<sec>
<title>Ethical Aspects</title>
<p>This study was approved by the National Research Ethics Committee (CONEP, acronym in Portuguese) (CAAE: 27290619.2.0000.0018), in compliance with resolution 466/12 of the Ministry of Health, which regulates research involving human beings. All subjects who voluntarily agreed to participate in the study signed an informed consent form.</p>
</sec>
<sec>
<title>Serological Analysis</title>
<p>Immunoenzymatic assays (Murex HTLV-I&#x0002B;II, DiaSorin, Dartford, UK) were used to detect anti-HTLV-1/2 antibodies in the tested samples following the manufacturer&#x00027;s instructions. Samples with positive results were subjected to line immunoassays (INNO-LIA<sup>&#x000AE;</sup> HTLV I/II Score, Fujirebio, Japan) and real-time PCR (Applied Biosystems Step One Plus Real Time PCR) to confirm infection and differentiate the viral type, respectively.</p>
</sec>
<sec>
<title>Real-Time PCR</title>
<p>To perform real-time PCR, DNA was extracted from the seropositive samples using a <italic>QiaAmp</italic> DNA mini kit (Qiagen, Germany) following the manufacturer&#x00027;s protocol. Molecular confirmation of infection was performed using a multiplex real-time PCR for three target sequences: the albumin gene (141 bp), as an endogenous control; the <italic>pol</italic> gene (186 bp) of HTLV-1; and the <italic>tax</italic>-2 gene (75 bp) of HTLV-2. The primer sequences used were 5&#x02032;-ccctacaatccaaccagctcag-3&#x02032; (HTLV-1F), 5&#x02032;-gtggtgaagctgccatcgggtttt-3&#x02032; (HTLV-1R), 5&#x02032;-cgattgtgtacaggccgattg-3&#x02032; (HTLV-2F), 5&#x02032;-caggagggcatgtcgatgtag-3&#x02032; (HTLV-2R), 5&#x02032;-gctgtcatctcttgtgggctgt-3&#x02032; (F Albumin), 5&#x02032;-aaactcatgggagctgctggtt-3&#x02032; (R Albumin); the probe sequences used were JOE-5&#x02032;-ctttactgacaaacccgacctacccatgga-3&#x02032;-BHQ (HTLV-1), FAM-5&#x02032;-tgtcccgtctcaggtggtctatgttcca-3&#x02032;-MGB (HTLV-2), and NED-5&#x02032;-cctgtcatgcccacacaaatctc-3&#x02032;-MGB (albumin). The reaction components, based on the <italic>TaqMan</italic><sup>&#x000AE;</sup> Universal system, were as follows: 12.5 &#x003BC;L of Master Mix, 6.0 &#x003BC;L of water, 1.0 &#x003BC;L of Assay-by-Design (primer and probe set) and 0.5 &#x003BC;L of DNA in a final volume of 20 &#x003BC;L. For cycling, the protocol was as follows: 50&#x000B0;C for 2 min; 95&#x000B0;C for 10 min; and 50 cycles of 90&#x000B0;C for 50 s and 60&#x000B0;C for 1 min.</p>
</sec>
<sec>
<title>Statistical Analyses</title>
<p>The collected information was stored in a database using Epi-Info7.2 software. The socioeconomic aspects, behavioral factors, and risk factors for exposure to HTLV-1 and HTLV-2 are described as frequencies and percentages. The confidence interval (95% CI) was used to estimate overall and community prevalence. Fisher&#x00027;s exact test was used to evaluate the association of behavioral risk factors with the presence/absence of HTLV-1 or HTLV-2. The significance level adopted was 5%. Statistical analyses were performed using the programs BioEstat 5.3, GraphPad Prism 7.0 for Windows, and MINITAB Release 14 for Windows.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>The median age of the individuals was 39 years (IIQ: 32); 61.1% (<italic>n</italic> = 525) of the individuals were women, and 38.9% (<italic>n</italic> = 334) were men. A total of 49.9% (<italic>n</italic> = 429) of the individuals said they were married/living with a partner. Most of these individuals declared themselves black (60.5%; <italic>n</italic> = 520) and brown (33.5%; <italic>n</italic> = 288). Regarding education, 40.6% (<italic>n</italic> = 349) were literate, 16.5% (142) had completed elementary school, and 28.4% (<italic>n</italic> = 244) had completed secondary education. A total of 46.6% (<italic>n</italic> = 400) live on &#x0003C;1 (1) minimum wage, and 47.1% (<italic>n</italic> = 405) live on one (2) to three (3) minimum wages (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Sociodemographic profile of the study participants.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Sociodemographic variable</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>&#x0003D; 859</bold></th>
<th valign="top" align="center"><bold>%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="3"><bold>Sex</bold></td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">525</td>
<td valign="top" align="center">61.1</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">334</td>
<td valign="top" align="center">38.9</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Color</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yellow</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.0</td>
</tr>
<tr>
<td valign="top" align="left">White</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">4.9</td>
</tr>
<tr>
<td valign="top" align="left">Black</td>
<td valign="top" align="center">520</td>
<td valign="top" align="center">60.5</td>
</tr>
<tr>
<td valign="top" align="left">Brown</td>
<td valign="top" align="center">288</td>
<td valign="top" align="center">33.5</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Marital status</bold></td>
</tr>
<tr>
<td valign="top" align="left">Married/living with partner</td>
<td valign="top" align="center">429</td>
<td valign="top" align="center">49.9</td>
</tr>
<tr>
<td valign="top" align="left">Separated</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">6.9</td>
</tr>
<tr>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">311</td>
<td valign="top" align="center">36.2</td>
</tr>
<tr>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">4.8</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">2.2</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Education</bold></td>
</tr>
<tr>
<td valign="top" align="left">Illiterate</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">2.6</td>
</tr>
<tr>
<td valign="top" align="left">Literate</td>
<td valign="top" align="center">349</td>
<td valign="top" align="center">40.6</td>
</tr>
<tr>
<td valign="top" align="left">Elementary education</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">16.5</td>
</tr>
<tr>
<td valign="top" align="left">Secondary education</td>
<td valign="top" align="center">244</td>
<td valign="top" align="center">28.4</td>
</tr>
<tr>
<td valign="top" align="left">Higher education</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">7.3</td>
</tr>
<tr>
<td valign="top" align="left">Graduate</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.7</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">2.8</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Income</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;1</td>
<td valign="top" align="center">400</td>
<td valign="top" align="center">46.6</td>
</tr>
<tr>
<td valign="top" align="left">1&#x02013;3</td>
<td valign="top" align="center">405</td>
<td valign="top" align="center">47.1</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;3</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">5.5</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Age (years)</bold></td>
</tr>
<tr>
<td valign="top" align="left">07&#x02013;11</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">5.2</td>
</tr>
<tr>
<td valign="top" align="left">12&#x02013;18</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">12.6</td>
</tr>
<tr>
<td valign="top" align="left">19&#x02013;29</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">16.4</td>
</tr>
<tr>
<td valign="top" align="left">30&#x02013;59</td>
<td valign="top" align="center">424</td>
<td valign="top" align="center">49.4</td>
</tr>
<tr>
<td valign="top" align="left">60 or 60&#x0002B;</td>
<td valign="top" align="center">136</td>
<td valign="top" align="center">15.8</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.6</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>HTLV-1/2 infection was detected in four individuals (0.4%, 95% CI: 0.13&#x02013;1.19). <xref ref-type="table" rid="T2">Table 2</xref> provides the distribution of infection by community, with 3.2% (2/63) of those tested in S&#x000E3;o Benedito (95% CI: 0.38&#x02013;11) and 2.2% (1/45) of those tested in Arimandeua (95% CI: 0.05&#x02013;11) being positive for HTLV-2 infection and 0.9% (1/109) of those tested in Itamoari (95% CI: 0.02&#x02013;5.00) being positive for HTLV-1 infection; all of the communities are located in the northeastern region of the state of Par&#x000E1;. HTLV-1 infection was identified in a young, 24-year-old male. Two males and one female were diagnosed with HTLV-2; all three were over 60 years of age.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Prevalence of HTLV-1 and HTLV-2 in the communities based on the tests used.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Population</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>ELISA</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Inno-Lia</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Real-time PCR</bold></th>
</tr>
<tr>
<th/>
<th/>
<th/>
<th valign="top" align="center"><bold>HTLV-1 (%)</bold></th>
<th valign="top" align="center"><bold>HTLV-2 (%)</bold></th>
<th valign="top" align="center"><bold>HTLV-1 (%)</bold></th>
<th valign="top" align="center"><bold>HTLV-2 (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="7"><bold>Bai&#x000E3;o</bold></td>
</tr>
<tr>
<td valign="top" align="left">Umarizal Beira</td>
<td valign="top" align="center">303</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Breu Branco</bold></td>
</tr>
<tr>
<td valign="top" align="left">Nova Juta&#x000ED;</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Bonito</bold></td>
</tr>
<tr>
<td valign="top" align="left">Poeirinha</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Cachoeira do Piri&#x000E1;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Bela Aurora</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Camiranga</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Itamoari</td>
<td valign="top" align="center">109</td>
<td valign="top" align="center">01</td>
<td valign="top" align="center">01 (0.9)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">01 (0.9)</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Camet&#x000E1;</bold></td>
</tr>
<tr>
<td valign="top" align="left">Arimandeua</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">01</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">01 (2.2)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">01 (2.2)</td>
</tr>
<tr>
<td valign="top" align="left">Aripij&#x000F3;</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Bacuri</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Cabanagem</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">00</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">S&#x000E3;o Benedito</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">02</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">02 (3.2)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">02 (3.2)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Total</bold></td>
<td valign="top" align="center">859</td>
<td valign="top" align="center">04</td>
<td valign="top" align="center">01 (0.1)</td>
<td valign="top" align="center">03 (0.3)</td>
<td valign="top" align="center">01 (0.1)</td>
<td valign="top" align="center">03 (0.3)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Only the individual diagnosed with HTLV-1 infection reported having a tattoo (25%). Three individuals (75%) denied having used illicit drugs, and one did not report anything. All of them denied having piercings, a previous diagnosis of an STI, or having more than one sexual partner. Two (50%) of those infected reported having received blood transfusions. Half (<xref ref-type="bibr" rid="B2">2</xref>) of the diagnosed individuals were sexually active and used condoms during sexual intercourse. Three (75%) of the individuals were breastfed, and one individual did not know (<xref ref-type="table" rid="T3">Table 3</xref>). According to Fisher&#x00027;s exact test, there was a significant association between blood transfusion (<italic>p</italic> = 0.0176) and HTLV-1/2 infection, with no association with any of the other factors investigated (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Sociodemographic and behavioral characteristics of individuals with confirmed HTLV-1 and HTLV-2 infection.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" colspan="4" style="border-bottom: thin solid #000000;"><bold>Infected individuals</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>SBEN-002</bold></th>
<th valign="top" align="center"><bold>SBEN-019</bold></th>
<th valign="top" align="center"><bold>ARI-007B</bold></th>
<th valign="top" align="center"><bold>ITM-040</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">F</td>
<td valign="top" align="center">M</td>
<td valign="top" align="center">M</td>
<td valign="top" align="center">M</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">64</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">23</td>
</tr>
<tr>
<td valign="top" align="left">Color</td>
<td valign="top" align="center">Black</td>
<td valign="top" align="center">Black</td>
<td valign="top" align="center">Brown</td>
<td valign="top" align="center">Brown</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">Married/lives with partner</td>
<td valign="top" align="center">Single</td>
</tr>
<tr>
<td valign="top" align="left">Education</td>
<td valign="top" align="center">IE</td>
<td valign="top" align="center">IE</td>
<td valign="top" align="center">IE</td>
<td valign="top" align="center">IE</td>
</tr>
<tr>
<td valign="top" align="left">Income (number of minimum wages)</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x0003E;1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">&#x0003E;1</td>
</tr>
<tr>
<td valign="top" align="left">Tattoo(s)</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">Y</td>
</tr>
<tr>
<td valign="top" align="left">Piercing(s)</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">Y</td>
</tr>
<tr>
<td valign="top" align="left">Breastfed</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">Y</td>
</tr>
<tr>
<td valign="top" align="left">Sexually active</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">Y</td>
</tr>
<tr>
<td valign="top" align="left">Age at 1st sexual relationship</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Sex for money</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Condoms</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">Y</td>
<td valign="top" align="center">Y</td>
</tr>
<tr>
<td valign="top" align="left">Number of partners</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis of an STI</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
<td valign="top" align="center">N</td>
</tr>
<tr>
<td valign="top" align="left">Type of HTLV</td>
<td valign="top" align="center">HTLV-2</td>
<td valign="top" align="center">HTLV-2</td>
<td valign="top" align="center">HTLV-2</td>
<td valign="top" align="center">HTLV-1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>F, female; M, male; IE, incomplete elementary school; IM, incomplete middle school; N, no; Y, yes; NR, not reported</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Association of HTLV-1/2 infection with behavioral risk factors.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Positive</bold></th>
<th valign="top" align="center"><bold>Negative</bold></th>
<th valign="top" align="center"><bold>Grand total</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><italic><bold>n</bold></italic> <bold>&#x0003D; 4</bold></th>
<th valign="top" align="center"><italic><bold>n</bold></italic> <bold>&#x0003D; 855</bold></th>
<th valign="top" align="center"><italic><bold>n</bold></italic> <bold>&#x0003D; 859</bold></th>
<th/>
</tr>
<tr>
<th/>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th valign="top" align="center"><italic><bold>N</bold></italic> <bold>(%)</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="5"><bold>Tattoo(s)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">1 (25)</td>
<td valign="top" align="center">51 (6)</td>
<td valign="top" align="center">52 (6.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">3 (75)</td>
<td valign="top" align="center">778 (91)</td>
<td valign="top" align="center">781 (90.9)</td>
<td valign="top" align="center">0.2276</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td/>
<td valign="top" align="center">26 (3)</td>
<td valign="top" align="center">26 (3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Illicit drugs</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">34 (4)</td>
<td valign="top" align="center">34 (4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">3 (75)</td>
<td valign="top" align="center">756 (88.4)</td>
<td valign="top" align="center">759 (88.4)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">1 (25)</td>
<td valign="top" align="center">65 (7.6)</td>
<td valign="top" align="center">66 (7.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Blood transfusion</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">44 (5.1)</td>
<td valign="top" align="center">46 (5.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">763 (89.2)</td>
<td valign="top" align="center">765 (89.1)</td>
<td valign="top" align="center">0.0176</td>
</tr>
<tr>
<td valign="top" align="left">Not informed</td>
<td/>
<td valign="top" align="center">48 (5.6)</td>
<td valign="top" align="center">48 (5.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Piercing(s)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">21 (2.5)</td>
<td valign="top" align="center">21 (2.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4 (100)</td>
<td valign="top" align="center">781 (91.3)</td>
<td valign="top" align="center">785 (91.4)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td/>
<td valign="top" align="center">53 (6.2)</td>
<td valign="top" align="center">53 (6.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Breastfed</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">3 (75)</td>
<td valign="top" align="center">774 (90.5)</td>
<td valign="top" align="center">777 (90.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">27 (3.2)</td>
<td valign="top" align="center">27 (3.1)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">1 (25)</td>
<td valign="top" align="center">54 (6.3)</td>
<td valign="top" align="center">55 (6.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Sexually active</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">637 (78.6)</td>
<td valign="top" align="center">639 (78.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">159 (19.6)</td>
<td valign="top" align="center">161 (19.8)</td>
<td valign="top" align="center">0.1823</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">14 (1.7)</td>
<td valign="top" align="center">14 (1.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Number of sexual partners (week)</bold></td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">2 (100)</td>
<td valign="top" align="center">532 (83.5)</td>
<td valign="top" align="center">534 (83.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265;2</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">23 (3.6)</td>
<td valign="top" align="center">23 (3.6)</td>
<td valign="top" align="center">0.1000</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td/>
<td valign="top" align="center">82 (2.9)</td>
<td valign="top" align="center">82 (2.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Condoms</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">262 (32.3)</td>
<td valign="top" align="center">264 (32.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">2 (50)</td>
<td valign="top" align="center">459 (56.7)</td>
<td valign="top" align="center">461 (56.6)</td>
<td valign="top" align="center">0.6279</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">89 (11)</td>
<td valign="top" align="center">89 (10.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Diagnosis of an STI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">32 (3.7)</td>
<td valign="top" align="center">32 (3.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4 (100)</td>
<td valign="top" align="center">677 (79.2)</td>
<td valign="top" align="center">681 (79.3)</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">Does not know</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">34 (4)</td>
<td valign="top" align="center">34 (4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">112 (13.1)</td>
<td valign="top" align="center">112 (13)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Herein, we report the occurrence of anti-HTLV-1/2 antibodies in four of the 859 individuals tested, with confirmed HTLV-1 infection in only one resident of the Itamoari community and confirmed HTLV-2 infection in two communities&#x02014;Arimandeua and S&#x000E3;o Benedito. This is the first time that HTLV-1 and HTLV-2 have been identified in these communities, and no previous studies have been conducted in these communities.</p>
<p>Vallinoto et al. (<xref ref-type="bibr" rid="B43">43</xref>) found that the prevalence rate of HTLV-1 in quilombolas of the Maraj&#x000F3; Archipelago (Par&#x000E1;) ranged from 1.0% in the Ponta de Pedras community to 2.06% in Santana do Arari; these numbers are close to those found in this study. Regarding the prevalence of HTLV-2, the rates found in this study were also similar to those described in Santana do Arari (1.06%). Regarding other Afro-descendant populations studied in Brazil, the prevalence of HTLV-1 in the present study was similar to that found in quilombo remnant communities in Central Brazil (0.5%) (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>The prevalence of HTLV-2 in the present study was lower than that reported by other studies involving traditional populations of Par&#x000E1;, such as indigenous populations. The prevalence in three Kayap&#x000F3; villages in the Xikrin territory was 29%, ranging from 21 to 38% among the villages (<xref ref-type="bibr" rid="B41">41</xref>). In turn, the prevalence data for this study are consistent with the data for the population of Bel&#x000E9;m, the capital of Par&#x000E1;, and for blood donors in this same state (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Itamoari is a community located on the Par&#x000E1; side of the Gurupi River. The Gurupi River and the Turia&#x000E7;u River (State of Maranh&#x000E3;o) form a region called Turia&#x000E7;u. The port in this region served as an entrance for a large number of slave through illegal slave trade during the 19th century (<xref ref-type="bibr" rid="B48">48</xref>). In this sense, the occurrence of HTLV-1 in the Itamoari community may be related to the African origin of the virus, and its entry into Brazil may have been by the slave trade from the African continent, considering that cases occur in isolated communities.</p>
<p>There are historical reports (<xref ref-type="bibr" rid="B48">48</xref>) that slaves sometimes found indigenous tribes during their escape into forests and lived with residents in locations highly endemic for HTLV-2 (<xref ref-type="bibr" rid="B48">48</xref>). Thus, the detection of HTLV-2 in S&#x000E3;o Benedito and Arimandeua can be attributed to the contact between indigenous populations and slaves.</p>
<p>History of an STI, multiple sexual partners, and non-use of condoms are risk factors that have been associated with a higher risk of HTLV-1/2 infection; however, in the present study, no associations were found (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Nevertheless, two individuals infected with HTLV-2 reported not using condoms because they were no longer sexually active, leading to the hypothesis or inference that they did not use condoms in previous relationships. None of the four infected had any history of an STI or reported having more than one sexual partner.</p>
<p>Blood transfusion was a risk factor for HTLV-1/2 infection in this study as well as in other studies (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). In November 1993, the Brazilian Ministry of Health filed Ordinance No. 1,376, through which blood donation candidates are subjected to clinical screening, including HTLV screening, to ensure their safety and that of recipients (<xref ref-type="bibr" rid="B56">56</xref>). Of the two individuals who reported receiving blood transfusions, the resident of S&#x000E3;o Benedito reported that this procedure was performed in 1994, while the other did not provide the date on which the transfusion was received. Because clinical screening was established shortly before the woman with HTLV-2 was transfused, there is no certainty as to whether she received screened blood, and thus, the transfusion may have been a source of infection. However, the association with blood transfusion could be a spurious result if we consider the small number of HTLV-1/2 positive subjects found in the present study, which could be considered a limitation of our study.</p>
<p>All three HTLV-2-infected patients have one surname in common; thus, it is possible that there is some degree of kinship between them due to the isolation of these communities. In addition, the 67-year-old woman who was infected reported that she had 11 pregnancies and breastfed all of her children for more than 6 months. However, her children could not be found to be tested, and thus, it is not known whether there was vertical transmission of the virus or if her infection occurred after her pregnancies. A new visit to the community is being arranged to investigate intrafamily transmission.</p>
<p>Although most of those infected with HTLV-1 are asymptomatic, this virus is associated with clinical manifestations that can lead to severe symptoms and death, and there is no cure or treatment available for the infection, which is neglected, not only in Brazil but also in several regions of the world (<xref ref-type="bibr" rid="B57">57</xref>). Therefore, HTLV-1/2 infection is a public health problem, especially in vulnerable populations (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B57">57</xref>).</p>
<p>Although many Brazilian population segments are in a situation of vulnerability, there is a higher prevalence of black populations among the vulnerable populations, including those living in quilombo remnant communities (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B58">58</xref>). These populations are vulnerable because of health determinants of individual control (behaviors) and collective control (low health conditions and poor infrastructure). Thus, measures such as (i) providing prenatal screening, (ii) providing screening for infection in different quilombola communities, (iii) performing confirmatory tests, (iv) increasing the awareness of the population about the virus and its modes of transmission, (v) encouraging the use of condoms, and (vi) providing counseling for infected pregnant women about the risk of transmission to the child through breastfeeding are means that can mitigate the transmission of HTLV in these communities; these actions promote health promotion/prevention from the perspective of comprehensive care, which is in line with the national policy of comprehensive health for the black population (<xref ref-type="bibr" rid="B59">59</xref>).</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>Considering the occurrence of HTLV-1/2 infection in populations associated with the African origin of the virus and its introduction into Brazil from the slave trade, the continuous evaluation of quilombola communities in the state of Par&#x000E1; and other locations in the Brazilian Amazon is needed to better characterize the distribution (prevalence) of infection in these populations to better formulate public health policies to control the spread of the virus and associated diseases.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Human Research Ethics Committee of the Health Sciences Institute of the Federal University of Par&#x000E1; (CAAE: 55699316.6.0000.0018). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>AV, JG, ES, IC, and GC-C conceived and designed the study. WB, LR, KP, FL, IA, CL, and AL assisted in subject recruitment and sample collection. BS, FL, WB, IA, and CL performed the serological and molecular analyses. SL and WB performed statistical analyses. WB, GC-C, IC, and AV wrote the manuscript. All authors read and approved the final manuscript.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This study was supported by the National Council for Scientific and Technological Development (CNPq; &#x00023; 301869/2017-0; 442522/2019-3) and the Federal University of Par&#x000E1;(PAPQ-2022).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack><p>We thank all the individuals who agreed to participate in this study.</p>
</ack>
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