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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.2022.1099571</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of hepatitis B, C, and D virus infection in Haiti: A systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vincent</surname> <given-names>Jeanne Perp&#x000E9;tue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2100462/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Nyamasege</surname> <given-names>Carolyn</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2154579/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Su</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Madec</surname> <given-names>Yoann</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/760712/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Shimakawa</surname> <given-names>Yusuke</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2071198/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Unit&#x000E9; d&#x00027;&#x000C9;pid&#x000E9;miologie des Maladies &#x000C9;mergentes, Institut Pasteur</institution>, <addr-line>Paris</addr-line>, <country>France</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Health and Human Services, Institute for Health Policy and Practice, University of New Hampshire</institution>, <addr-line>Concord, NH</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Viral Hepatitis Program, Cooperman Barnabas Medical Center</institution>, <addr-line>Livingston, NJ</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Krzysztof Tomasiewicz, Medical University of Lublin, Poland</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Antonio Rivero-Juarez, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Spain; Maria Gabriella Verso, University of Palermo, Italy</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jeanne Perp&#x000E9;tue Vincent &#x02709; <email>jeanne.vincent&#x00040;pasteur.fr</email></corresp>
<corresp id="c002">Yusuke Shimakawa &#x02709; <email>yusuke.shimakawa&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Infectious Diseases: Epidemiology and Prevention, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>1099571</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Vincent, Nyamasege, Wang, Madec and Shimakawa.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Vincent, Nyamasege, Wang, Madec and Shimakawa</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>
<sec>
<title>Background</title>
<p>Viral hepatitis causes an important global health burden. In 2016, the World Health Assembly adopted an objective to globally eliminate this as a public health threat by 2030. However, significant gaps exist between countries in their progress. Haiti is the last country that has introduced infant hepatitis B vaccines into the routine immunization program in the Region of the Americas, and its schedule still does not incorporate birth dose vaccines. As the first step to raise awareness of viral hepatitis in this country, we conducted a systematic review and meta-analysis to estimate the prevalence of hepatitis B (HBV), C (HCV), and D (HDV) viruses in Haiti.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched PubMed, EMBASE, Web of Science and Scopus for studies reporting the prevalence of HBV, HCV and HDV among Haitian, with no language restriction, published until November 30th, 2021. Prevalence was pooled <italic>via</italic> a random-effects meta-analysis using a generalized linear mixed model with the logit link.</p>
</sec>
<sec>
<title>Results</title>
<p>Of 453 articles retrieved, 25 studies were included: 16 reported the prevalence of hepatitis B surface antigen (HBsAg), three for anti-HCV antibody, and six for both HBsAg and anti-HCV. No study was found for HDV prevalence. The pooled prevalence of HBsAg was 0.7% [95% confidence interval (CI): 0.3&#x02013;1.4, <italic>I</italic><sup>2</sup> = 77.7%] among children, 3.5% (95% CI: 2.8&#x02013;4.4, <italic>I</italic><sup>2</sup> = 93.2%) in the general adult population and 7.4% (95% CI: 4.0&#x02013;13.3, <italic>I</italic><sup>2</sup> = 83.9%) in high-risk adult population. The pooled prevalence of anti-HCV antibody was 0.9% (95% CI: 0.6&#x02013;1.4, <italic>I</italic><sup>2</sup> = 93.5%) among the general population and 1.4% (95% CI: 0.4&#x02013;4.2, <italic>I</italic><sup>2</sup> = 0.0%) in high-risk adult population. No study reported the prevalence of anti-HCV antibody exclusively in children.</p>
</sec>
<sec>
<title>Interpretation</title>
<p>The prevalence of blood-borne hepatitis, particularly that of HBV, is substantial in Haiti. The introduction of birth dose hepatitis B vaccines and improving access to testing and treatment services should be urgently considered to meet the elimination goal.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022298081">https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022298081</ext-link>, identifier: PROSPERO (CRD42022298081).</p>
</sec></abstract>
<kwd-group>
<kwd>Haiti</kwd>
<kwd>hepatitis B</kwd>
<kwd>hepatitis C</kwd>
<kwd>hepatitis D</kwd>
<kwd>prevalence</kwd>
<kwd>epidemiology</kwd>
<kwd>elimination</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="15"/>
<word-count count="7586"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>An estimated 354 million people live with hepatitis B (HBV) or hepatitis C virus (HCV) worldwide, and among them more than one million die yearly from complications such as hepatocellular carcinoma or cirrhosis (<xref ref-type="bibr" rid="B1">1</xref>). The majority of this burden is borne by people in Africa and Asia. In the Americas, the number of people chronically infected with HBV and HCV were estimated at 14 million (<xref ref-type="bibr" rid="B2">2</xref>). The number of deaths related to HBV and HCV in 2019 for the region were estimated at 15,000 and 31,000, respectively (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>As these chronic viral infections progress asymptomatically over the years until serious liver damage is established, most people chronically infected with HBV or HCV remain undiagnosed unless there is a screening program for these infections targeting asymptomatic people. In fact, The World Health Organization (WHO) estimates that only 10% of people living with HBV and 21% of those living with HCV have been diagnosed (<xref ref-type="bibr" rid="B1">1</xref>). The WHO presently aims to achieve the worldwide elimination of hepatitis B and C as public health threat by 2030 (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Haiti is a small country of 11 million people located in the Caribbean, where little attention has been paid to viral hepatitis. The country was the last in the Americas to introduce hepatitis B vaccines into the routine infant immunization program in 2012 using pentavalent vaccines scheduled at 6, 10, and 14 weeks of life (<xref ref-type="bibr" rid="B4">4</xref>). In 2020, 8 years after the introduction of the hepatitis B vaccines, coverage of three-dose pentavalent vaccines still remained low at 51% among 1-year-old children according to the WHO/UNICEF data (<xref ref-type="bibr" rid="B5">5</xref>). Moreover, the birth dose vaccination is not yet introduced into the national immunization program and pregnant women are not systematically screened for HBV to prevent mother-to-child transmission (MTCT) despite the WHO&#x00027;s recommendations (<xref ref-type="bibr" rid="B6">6</xref>). There is no national program targeting chronic viral hepatitis in Haiti.</p>
<p>To date, there is no systematic review specific to Haiti to estimate the prevalence of chronic viral hepatitis in this country. Regarding the prevalence of HBsAg, studies on a global or regional scale have provided country-specific estimates including that of Haiti, but with marked variations between studies. In a systematic review and meta-analysis by Schweitzer et al. (<xref ref-type="bibr" rid="B7">7</xref>) published in 2015, an estimated 13.6% (95% CI: 9.0&#x02013;19.9) of Haitians were positive for HBsAg. Kowdley et al. also conducted a systematic review and meta-analysis, and reported a pooled prevalence of 4.8% (95% CI: 3.9&#x02013;5.7) in their first publication in 2011 and 4.6% (95% CI: 3.2&#x02013;6.0) in their updated publication in 2021 (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). On the basis of a combination of literature review and expert opinions, the Polaris Observatory Collaborators estimated that the prevalence of HBsAg in Haiti in 2016 was 2.9% (95% CI: 2.7&#x02013;4.1) (<xref ref-type="bibr" rid="B10">10</xref>). Most recently, the Global Burden of Disease (GBD) study reported a decrease in prevalence of HBV from 1.9% (95% CI: 1.5&#x02013;2.2) in 1990 to 1.6% (95% CI: 1.3&#x02013;1.9) in 2019, using a combination of systematic review and mathematical modeling (<xref ref-type="bibr" rid="B11">11</xref>). Interpretation of these heterogeneous estimates is complicated. Moreover, besides the articles by Kowdley et al., these estimations were based on a small number of studies (two for Schweitzer et al., four for Polaris, and one for GBD). Regarding HCV and hepatitis D virus (HDV), none of the previous systematic reviews estimating the global prevalence of these infections included a study from Haiti (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>We, therefore, conducted a systematic review and meta-analysis specific to Haiti for the prevalence of HBV, HCV, and HDV among three groups: (i) children, (ii) the general adult population, and (iii) the high-risk adult population. The data generated by this work can serve as baseline data before any public health interventions targeting these infections are implemented in this country.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Search strategy and eligibility criteria</title>
<p>This systematic review was conducted following a protocol registered in PROSPERO (CRD42022298081) and reported according to the PRISMA guidelines (<xref ref-type="bibr" rid="B16">16</xref>). Four databases (PubMed, EMBASE, Web of Science and Scopus) were searched from their inception until November 30, 2021, without language restriction. Following search terms and their respective variations were used: &#x0201C;Haiti&#x0201D; AND &#x0201C;(&#x0201C;HBV&#x0201D; OR &#x0201C;HCV&#x0201D; OR &#x0201C;HDV&#x0201D;)&#x0201D; (detailed search strategy in <xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>). References of included studies were also manually searched. Original articles and conference abstracts of any study design were eligible if they reported the numerator (number with a positive result) and the denominator (number who had a test) enabling us to calculate the prevalence of viral hepatitis markers in individuals of any age living in Haiti or immigrants of Haitian origin (i.e., those born in Haiti and residing in other countries). Gray literature, including government reports or WHO reports, was also eligible if it provided these data. We primarily considered the following markers: HBsAg, anti-HCV antibody, and anti-HDV antibody. In addition, as secondary outcomes we considered the following: HBV DNA and hepatitis B e antigen (HBeAg) in people positive for HBsAg, HCV RNA in people positive for anti-HCV, and HDV RNA in people positive for anti-HDV antibody. Clinical definition of chronic HBV infection is the persistence of HBsAg for at least 6 months (<xref ref-type="bibr" rid="B17">17</xref>). In contrast, for an epidemiological study in a country with high HBV endemicity, positive HBsAg at a single time point can be reasonably considered as a chronic HBV infection (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec>
<title>Data selection</title>
<p>Titles and abstracts of all the articles identified through the search strategy were independently screened for relevance by two reviewers (JPV and CN). Following the selection of potentially eligible articles through the screening, a full-text reading was performed to review and extract the data. Any discrepancies between two reviewers were resolved through discussion within the team. A standardized form was edited to extract, by the same two reviewers, the following data from each study: first author&#x00027;s name, year of publication, journal name, language used to report the study, study setting, type of study population, period of data collection, participants&#x00027; baseline characteristics, inclusion and exclusion criteria, type of assay used for viral hepatitis markers, total number of people tested for each of viral hepatitis markers (i.e., denominators), and total number of people tested positive for each of viral hepatitis markers (i.e., numerators).</p>
<p>The study population was classified into three groups: children, the general adult population and the high-risk adult population. We defined adults as those aged &#x02265;15 years. The high-risk adult population includes people living with other comorbidities (e.g., HIV, tuberculosis) as well as refugees, and those with symptoms related to liver disease (e.g., ascites). The general adult population was defined as those not presenting the characteristics defined above as high risk. Whenever possible, population-specific estimates were obtained in a study that recruited different groups of people.</p>
<p>Whenever information was missing in the full-text paper that limits our ability to make a final decision on whether to include the study, corresponding authors were systematically contacted by e-mail. The risk of bias was evaluated using a framework introduced by Hoy et al. (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec>
<title>Data analysis</title>
<p>The outcomes of interest were as below: the prevalence of HBsAg, the prevalence of HBeAg or positive HBV DNA in HBsAg-positive individuals, the prevalence of anti-HCV antibody or HCV RNA, the prevalence of anti-HDV antibody or HDV RNA in people chronically infected with HBV. The prevalence of each marker was computed by dividing the number of people tested positive by the total number of people tested. Meta-analysis was carried using the &#x0201C;metaprop&#x0201D; command with R 4.2.2 (R Foundation for Statistical Computing, Vienna, Austria) and RStudio Desktop 2022.07.2 (Rstudio, PBC, Boston, MA, USA) (<xref ref-type="bibr" rid="B20">20</xref>). Proportions were pooled <italic>via</italic> a random-effects meta-analysis using a generalized linear mixed model (GLMM) with a logit link approach. The percentage of total variation between studies due to heterogeneity was evaluated using the <italic>I</italic><sup>2</sup> statistic. Subgroup analyses were conducted by place of residence at the time of testing (Haiti or outside), and by recruitment period (before or after the year 2000) among the general adult population. We also analyzed the subgroups of pregnant women and people living with HIV (PLHIV).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>A total of 453 articles were identified after the removal of duplicates. Following the independent screening by two reviewers, 42 full-text articles were assessed for eligibility, and 21 met the eligibility criteria. In addition, four more eligible articles were manually identified from the references of the included studies and other review articles. Finally, 25 studies were included in the meta-analysis for the following hepatitis markers: HBsAg only (16 studies), anti-HCV antibody only (three studies), and both HBsAg and anti-HCV antibody (6 studies). There was no study assessing HDV prevalence among Haitian (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>PRISMA flow diagram showing the study selection process.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0001.tif"/>
</fig>
<p>Of the 22 studies reporting the prevalence of HBsAg, six were classified as having a low risk of bias, seven as a moderate, and nine as a high risk. Of the nine studies reporting the prevalence of anti-HCV antibody, two were classified as a low risk of bias, six as moderate, and one as high. There was a wide variation in the recruitment sites. For HBsAg, seven studies recruited participants in hospitals, seven during antenatal or perinatal care, two from blood bank, and six in community survey. For anti-HCV antibody, four studies recruited in hospital, two during antenatal care, two from blood bank, and three in community survey.</p>
<sec>
<title>HBV prevalence</title>
<p>Twenty studies evaluated adult population, including two with a mixed population of adults and children, and two studies exclusively evaluated children (<xref ref-type="table" rid="T1">Table 1</xref>). Eleven studies were conducted on people residing in Haiti, nine on immigrants and two on refugees. Of 20 adult studies, 15 reported prevalence in a single population and five reported prevalence in separate groups of people. Consequently, a total of 27 estimates were derived: 19 for the general adult population (including four for blood donors and seven for women during antenatal or perinatal care visit), and eight for the high-risk adult population (including four estimates for PLHIV, one for patients with tuberculosis, two for refugees, and one for patients with ascites). The characteristics of the studies reporting HBsAg prevalence were summarized in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Studies reporting the prevalence of HBsAg among Haitians.</p></caption>
<table frame="box" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Authors, reference</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Country</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Study design</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Study setting</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Population</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Adults/ children</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Mean age &#x000B1;SD (years)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Type of HBsAg assay</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Male sex (%)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>HIV rate (%)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>No. tested</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>No. positive</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Prevalence (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Oll&#x000E9;-Goig (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Case-control</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with ascites</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">37.0</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">31.6</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">19</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">31.6</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Control patients (no ascites)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">36.9</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">30.8</td>
<td/>
<td valign="top" align="left">39</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">5.1</td>
</tr> <tr>
<td valign="top" align="left">Malison et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants (mothers of children up to 10 years old)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">51</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">3.9</td>
</tr> <tr>
<td valign="top" align="left">Delage et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Canada</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Maternity ward</td>
<td valign="top" align="left">Immigrants (pregnant women)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">RIA or EIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">543</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">3.3</td>
</tr> <tr>
<td valign="top" align="left">Gordon et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Immigrants (HIV positive)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">13.3</td>
</tr> <tr>
<td valign="top" align="left">Jonas et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Maternity ward</td>
<td valign="top" align="left">Immigrants (pregnant women)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">606</td>
<td valign="top" align="left">23</td>
<td valign="top" align="left">3.8</td>
</tr> <tr>
<td valign="top" align="left">Lange et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Immigration center</td>
<td valign="top" align="left">Refugee (boat people)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">27.7</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">7.0</td>
<td valign="top" align="left">171</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">12.3</td>
</tr> <tr>
<td valign="top" align="left">Schill et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">ANC and hospital</td>
<td valign="top" align="left">Pregnant women and outpatients</td>
<td valign="top" align="left">Adults and children</td>
<td valign="top" align="left">31.3</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">25.9</td>
<td valign="top" align="left">5.2</td>
<td valign="top" align="left">115</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">13.0</td>
</tr> <tr>
<td valign="top" align="left">Rosenblum et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults and children</td>
<td valign="top" align="left">36.0</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">50.0</td>
<td valign="top" align="left">12.0</td>
<td valign="top" align="left">117</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">4.3</td>
</tr> <tr>
<td valign="top" align="left">Boulos et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Case-control</td>
<td valign="top" align="left">ANC</td>
<td valign="top" align="left">Pregnant women (HTLV positive)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">28.0 &#x000B1; 5.4</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">45</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">2.2</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Pregnant women (HIV positive)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">25.6 &#x000B1; 5.4</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">95</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">7.4</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Pregnant women</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">25.4 &#x000B1; 5.4</td>
<td valign="top" align="left">RIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">89</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">6.7</td>
</tr> <tr>
<td valign="top" align="left">Andernach et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">ANC</td>
<td valign="top" align="left">Pregnant women</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">7,147</td>
<td valign="top" align="left">357</td>
<td valign="top" align="left">5.0</td>
</tr> <tr>
<td valign="top" align="left">Exantus and Dall&#x00027;Amico (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with nephrotic syndrome</td>
<td valign="top" align="left">Children</td>
<td valign="top" align="left">6.4</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">55.4</td>
<td valign="top" align="left">5.3</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">5.9</td>
</tr> <tr>
<td valign="top" align="left">Rein et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Immigration center<xref ref-type="table-fn" rid="TN2"><sup>&#x000A7;</sup></xref></td>
<td valign="top" align="left">Refugee</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">659</td>
<td valign="top" align="left">17</td>
<td valign="top" align="left">2.6</td>
</tr> <tr>
<td valign="top" align="left">Tohme et al. (<xref ref-type="bibr" rid="B4">4</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">ANC</td>
<td valign="top" align="left">Pregnant women (HIV positive)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">CLIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">123</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">2.4</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Pregnant women</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">1,184</td>
<td valign="top" align="left">30</td>
<td valign="top" align="left">2.5</td>
</tr> <tr>
<td valign="top" align="left">Ngongondo et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with HIV</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">36.9 &#x000B1; 8.9</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">48.6</td>
<td valign="top" align="left">100</td>
<td valign="top" align="left">102</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">8.8</td>
</tr> <tr>
<td valign="top" align="left">Jean-Baptiste et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Blood bank</td>
<td valign="top" align="left">Blood donors</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">198,758</td>
<td valign="top" align="left">7,553</td>
<td valign="top" align="left">3.8</td>
</tr> <tr>
<td valign="top" align="left">Childs et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">General population</td>
<td valign="top" align="left">Children</td>
<td valign="top" align="left">6.0</td>
<td valign="top" align="left">RDT</td>
<td valign="top" align="left">49.8</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">1,152</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">0.6</td>
</tr> <tr>
<td valign="top" align="left">Izquierdo et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Cohort</td>
<td valign="top" align="left">ANC</td>
<td valign="top" align="left">Immigrants (pregnant women)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">CLIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">829</td>
<td valign="top" align="left">31</td>
<td valign="top" align="left">3.7</td>
</tr> <tr>
<td valign="top" align="left">Fuster et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">31.4 &#x000B1; 7.6</td>
<td valign="top" align="left">CMIA</td>
<td valign="top" align="left">39.6</td>
<td valign="top" align="left">2.4</td>
<td valign="top" align="left">468</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">3.4</td>
</tr> <tr>
<td valign="top" align="left">PAHO (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Blood bank</td>
<td valign="top" align="left">Blood donors (2015)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">0.8</td>
<td valign="top" align="left">27,752</td>
<td valign="top" align="left">1,022</td>
<td valign="top" align="left">3.7</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Blood donors (2016)</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">25,699</td>
<td valign="top" align="left">838</td>
<td valign="top" align="left">3.3</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Blood donors (2017)</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">28,018</td>
<td valign="top" align="left">657</td>
<td valign="top" align="left">2.3</td>
</tr> <tr>
<td valign="top" align="left">Brogden et al. (<xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">49.0</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">38.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">21</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">4.8</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">53.6 &#x000B1; 18.2</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">37.2</td>
<td/>
<td valign="top" align="left">3,275</td>
<td valign="top" align="left">50</td>
<td valign="top" align="left">1.5</td>
</tr> <tr>
<td valign="top" align="left">Franke et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cohort</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with tuberculosis</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">33 (median) (IQR: 28&#x02013;39)</td>
<td valign="top" align="left">RDT</td>
<td valign="top" align="left">50.0</td>
<td valign="top" align="left">37.5</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">6.3</td>
</tr> <tr>
<td valign="top" align="left">Jones et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">58.5 &#x000B1; 4.1</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">25.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">53</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0.0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><p><sup>&#x0002A;</sup>EIA confirmed by CMIA if the type of assay is unchanged from the report by Jean-Baptiste et al. (<xref ref-type="bibr" rid="B34">34</xref>).</p></fn>
<fn id="TN2"><p><sup>&#x000A7;</sup>Data based on report from state refugee health coordinators.</p></fn>
<p>ANC, antenatal clinic; CLIA, chemiluminescence immunoassay; CMIA, chemiluminescence microparticle immunoassay; EIA, enzyme immunoassay; HBsAg, hepatitis B surface antigen; HIV, human immunodeficiency virus; HTLV, human T-cell lymphotropic virus; N/R, not reported; PAHO, Pan American Health Organization; RCT, randomized controlled trial; RDT, rapid diagnostic test; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
<p>A total of 297,178 individuals were assessed for HBsAg. In children, the pooled prevalence was 0.7% (95% CI: 0.3&#x02013;1.4, <italic>I</italic><sup>2</sup> = 77.7%). Exantus et al. (<xref ref-type="bibr" rid="B31">31</xref>) studied a group of children with nephrotic syndrome evaluated from 1990 to 2008, before the introduction of HBV vaccines in the national program, while Childs et al. (<xref ref-type="bibr" rid="B35">35</xref>) conducted a nationally representative community-based survey in 2017 among 5&#x02013;7 year-olds, including both children born before and after the hepatitis B immunization program.</p>
<p>In the general adult population, the pooled prevalence of HBsAg was 3.5% (95% CI: 2.8&#x02013;4.4, <italic>I</italic><sup>2</sup> = 93.2%); this was significantly lower than that in high-risk populations (7.4%, 95% CI: 4.0&#x02013;13.3, <italic>I</italic><sup>2</sup> = 83.9%, <italic>p</italic> for heterogeneity between groups &#x0003C; 0.001, <xref ref-type="fig" rid="F2">Figure 2</xref>). In the general adult population, the prevalence tended to be lower in studies conducted after the year 2000 (3.1%, 95% CI: 2.5&#x02013;3.8, <italic>I</italic><sup>2</sup> = 95.8%) than in those conducted before 2000 (4.8%, 95% CI: 3.2&#x02013;7.2, <italic>I</italic><sup>2</sup> = 66.4%, <italic>p</italic> for heterogeneity between groups = 0.05, <xref ref-type="fig" rid="F3">Figure 3</xref>). The prevalence in the general adult population did not significantly vary according to their place of residence at the time of testing: 4.0 % (95% CI: 2.9&#x02013;5.4, <italic>I</italic><sup>2</sup> = 96.0%) in those recruited in Haiti and 2.9% (95% CI: 2.1&#x02013;3.9, <italic>I</italic><sup>2</sup> = 69.5%) in immigrants of Haitian origin (<italic>p</italic> for heterogeneity between groups = 0.16, <xref ref-type="fig" rid="F4">Figure 4</xref>). In pregnant women, no difference was observed in the prevalence between those not infected with HIV (3.8%, 95% CI: 3.0&#x02013;4.8, <italic>I</italic><sup>2</sup> = 69.1%) and those infected with HIV (4.5%, 95% CI: 2.1&#x02013;9.4, <italic>I</italic><sup>2</sup> = 63.0%, <italic>p</italic> for heterogeneity between groups = 0.68) (<xref ref-type="fig" rid="F5">Figure 5A</xref>). In PLHIV the prevalence was estimated at 6.3% (95% CI: 3.7&#x02013;10.5, <italic>I</italic><sup>2</sup> = 39.6%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Prevalence of HBsAg in children, the general adult population and the high-risk adult population. a, ascites group; c, control group; com, community recruitment; h, hospital recruitment; HIV, human immunodeficiency virus positive group; HTLV, human T-cell lymphotropic virus positive group; PAHO, Pan American Health Organization.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Prevalence of HBsAg in the general adult population by year. c, control group; com, community recruitment; h, hospital recruitment; HTLV, human T-cell lymphotropic virus positive group; PAHO, Pan American Health Organization.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Prevalence of HBsAg in the general adult population by place of residence. a, ascites group; c, control group; com, community recruitment; h, hospital recruitment; HIV, human immunodeficiency virus positive group; HTLV, human T-cell lymphotropic virus positive group; PAHO, Pan American Health Organization.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0004.tif"/>
</fig>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p><bold>(A)</bold> Prevalence of HBsAg in pregnant women by HIV status. c, control group; HIV, human immunodeficiency virus positive group; HTLV, human T-cell lymphotropic virus positive group. <bold>(B)</bold> Prevalence of high viral load (&#x02265;200,000 IU/ml) in HBsAg-positive pregnant women.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0005.tif"/>
</fig>
<p>Sixteen studies only tested HBsAg as the sole marker of HBV, three studies tested HBsAg and HBeAg (<xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B24">24</xref>), two studies tested HBsAg and HBV DNA (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B30">30</xref>), and one study tested both HBeAg and HBV DNA in addition to HBsAg (<xref ref-type="bibr" rid="B36">36</xref>). In four studies reporting HBeAg sero-status, two studied pregnant women (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B36">36</xref>), one studied mothers of children up to 10 years of age (<xref ref-type="bibr" rid="B22">22</xref>), and one studied PLHIV (<xref ref-type="bibr" rid="B24">24</xref>). Delage et al. and Malison et al. found none of HBsAg-positive women were positive for HBeAg (0/32 and 0/2, respectively) (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). In contrast, Izquierdo et al. found that 12.9% (4/31) of the HBsAg-positive pregnant women carried HBeAg (<xref ref-type="bibr" rid="B36">36</xref>). The pooled prevalence of HBeAg among HBsAg-positive mothers was 6.7% (95% CI: 1.0&#x02013;34.2, <italic>I</italic><sup>2</sup> = 0.0%) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>). In PLHIV, Gordon et al. identified two HBeAg-positive participants out of two HBsAg-positive (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Three studies reported HBV DNA PCR test results in people identified to carry HBsAg (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Tohme et al. (<xref ref-type="bibr" rid="B4">4</xref>) detected HBV DNA among 78.8% (26/33) of HBsAg-positive pregnant women, with nine (27.3%) having viral load &#x0003E;200,000 IU/ml using an in-house quantitative PCR with a lower limit of detection of 50 IU/ml. Izquierdo et al. (<xref ref-type="bibr" rid="B36">36</xref>) detected HBV DNA in 92.0% (23/25) of HBsAg-positive pregnant women using the Abbott RealTime HBV assay with a lower limit of quantitation of 10 IU/ml; three (12.0%) women had viral load &#x02265;200,000 IU/ml. The pooled prevalence of HBV DNA viral load &#x02265;200,000 IU/ml among pregnant women was 20.7% (95% CI: 12.1&#x02013;33.0, <italic>I</italic><sup>2</sup> = 48.1%) (<xref ref-type="fig" rid="F5">Figure 5B</xref>).</p>
<p>Andernach et al. detected HBV DNA in 77.2% (247/320) of HBsAg-positive pregnant women by an in-house PCR. The later was the only study that analyzed HBV genotypes and reported that the majority (71.5%, 128/179) of the infections were caused by HBV genotype A (including A1, A2, and A5), followed by D (22.3%, 40/179; including D3 and D4) and E (6.1%, 11/179) (<xref ref-type="bibr" rid="B30">30</xref>).</p>
</sec>
<sec>
<title>HCV prevalence</title>
<p>The characteristics of the nine studies reporting anti-HCV antibody prevalence are presented in <xref ref-type="table" rid="T2">Table 2</xref>. Seven studies exclusively recruited adults while two recruited both adults and children. Five studies were conducted in people residing in Haiti and four in immigrants. The nine adults studies provided 13 estimates: 11 for the general adult population (including four groups of blood donors, one group of pregnant women during antenatal care, three groups of adults recruited in community settings and three from hospitals among outpatients, surgery patients and those attending emergency room) and two for the high-risk adult population (including one with outpatients presenting AIDS suggestive symptoms and another comprising patients with tuberculosis).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Studies reporting the prevalence of anti-HCV antibody among Haitians.</p></caption>
<table frame="box" rules="all">
<thead><tr>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Authors, reference</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Country</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Study design</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Study setting</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Population</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Adults/ children</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Mean age &#x000B1;SD (years)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Type of anti-HCV antibody assay</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Male sex (%)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>HIV rate (%)</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>No. tested</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>No. positive</bold></th>
<th valign="top" align="left" style="background-color:#919497; color:#ffffff"><bold>Prevalence (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Allain et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with AIDS suggestive symptoms</td>
<td valign="top" align="left">Adults and children</td>
<td valign="top" align="left">(Range: 2&#x02013;72)</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">39.3</td>
<td valign="top" align="left">39.3</td>
<td valign="top" align="left">200</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">1.5</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">ANC</td>
<td valign="top" align="left">Pregnant women</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">25.0 (median) (range: 15&#x02013;49)</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">0.0</td>
<td valign="top" align="left">4.0</td>
<td valign="top" align="left">500</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0.4</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Surgery patients</td>
<td valign="top" align="left">Adults and children</td>
<td valign="top" align="left">(Range: 1&#x02013;83)</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">46.9</td>
<td valign="top" align="left">6.1</td>
<td valign="top" align="left">228</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0.9</td>
</tr> <tr>
<td valign="top" align="left">Talarmin et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="top" align="left">French Guiana</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community and ANC</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">66</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1.5</td>
</tr> <tr>
<td valign="top" align="left">Hepburn et al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Outpatients with laboratory tests</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">33.7 &#x000B1; 15.9</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">67.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">500</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">4.4</td>
</tr> <tr>
<td valign="top" align="left">Jean-Baptiste et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Blood bank</td>
<td valign="top" align="left">Blood donors</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">198,758</td>
<td valign="top" align="left">1,113</td>
<td valign="top" align="left">0.6</td>
</tr> <tr>
<td valign="top" align="left">Fuster et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left">Chile</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">31.4 &#x000B1; 7.6</td>
<td valign="top" align="left">CMIA</td>
<td valign="top" align="left">39.6</td>
<td valign="top" align="left">2.4</td>
<td valign="top" align="left">468</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.2</td>
</tr> <tr>
<td valign="top" align="left">PAHO (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Blood bank</td>
<td valign="top" align="left">Blood donors (2015)</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">N/R<xref ref-type="table-fn" rid="TN3"><sup>&#x0002A;</sup></xref></td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">0.8</td>
<td valign="top" align="left">27,752</td>
<td valign="top" align="left">236</td>
<td valign="top" align="left">0.9</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Blood donors (2016)</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">25,699</td>
<td valign="top" align="left">175</td>
<td valign="top" align="left">0.7</td>
</tr> <tr>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">Blood donors (2017)</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="left">0.5</td>
<td valign="top" align="left">28,018</td>
<td valign="top" align="left">239</td>
<td valign="top" align="left">0.6</td>
</tr> <tr>
<td valign="top" align="left">Brogden et al. (<xref ref-type="bibr" rid="B39">39</xref>&#x02013;<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Cross-sectional</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">53.6 &#x000B1; 18.2</td>
<td valign="top" align="left">EIA</td>
<td valign="top" align="left">37.2</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">2,320</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">1.1</td>
</tr> <tr>
<td valign="top" align="left">Franke et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" align="left">Haiti</td>
<td valign="top" align="left">Cohort</td>
<td valign="top" align="left">Hospital</td>
<td valign="top" align="left">Patients with tuberculosis</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">33 (median) (IQR: 28&#x02013;39)</td>
<td valign="top" align="left">RDT</td>
<td valign="top" align="left">50.0</td>
<td valign="top" align="left">37.5</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0.0</td>
</tr> <tr>
<td valign="top" align="left">Jones et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">RCT</td>
<td valign="top" align="left">Community</td>
<td valign="top" align="left">Immigrants</td>
<td valign="top" align="left">Adults</td>
<td valign="top" align="left">58.5 &#x000B1; 4.1</td>
<td valign="top" align="left">RDT</td>
<td valign="top" align="left">25.0</td>
<td valign="top" align="left">N/R</td>
<td valign="top" align="left">56</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">3.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN3"><p><sup>&#x0002A;</sup>EIA confirmed by CMIA if the type of assay is unchanged from the report by Jean-Baptiste et al. (<xref ref-type="bibr" rid="B34">34</xref>).</p></fn>
<p>AIDS, acquired immunodeficiency syndrome; ANC, antenatal clinic; CMIA, chemiluminescence microparticle immunoassay; EIA, enzyme immunoassay; HCV, hepatitis C virus; HIV, human immunodeficiency virus; N/R, not reported; PAHO, Pan American Health Organization; RCT, randomized controlled trial; RDT, rapid diagnostic test; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
<p>A total of 284,581 individuals were assessed for anti-HCV antibody. The pooled prevalence was 0.9% (95% CI: 0.6&#x02013;1.4, <italic>I</italic><sup>2</sup> = 93.5%) in the general adult population and 1.4% (95% CI: 0.4&#x02013;4.2, <italic>I</italic><sup>2</sup> = 0.0%) in the high-risk group (<italic>p</italic> for heterogeneity between groups = 0.50) (<xref ref-type="fig" rid="F6">Figure 6</xref>). In the general adult population, there was no evidence for the difference in the prevalence between the studies conducted before the year 2000 (0.6%, 95% CI: 0.3&#x02013;1.5, <italic>I</italic><sup>2</sup> = 0.0%) and after 2000 (1.0%, 95% CI: 0.6&#x02013;1.6, <italic>I</italic><sup>2</sup> = 95.4%) (<italic>p</italic> for heterogeneity between groups = 0.40) (<xref ref-type="fig" rid="F7">Figure 7</xref>). Similarly, there was no evidence for the difference in the prevalence in the general adult population between those residing in Haiti and in foreign countries at the time of testing (0.9%, 95% CI: 0.5&#x02013;1.5, <italic>I</italic><sup>2</sup> = 95.7% and 1.0%, 95% CI: 0.7&#x02013;1.4, <italic>I</italic><sup>2</sup> = 46.5%, respectively) (<italic>p</italic> for heterogeneity between groups = 0.76) (<xref ref-type="fig" rid="F8">Figure 8</xref>).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Prevalence of anti-HCV antibody in the general adult population and the high-risk adult population. h, hospital recruitment; o, outpatient; p, pregnant women; PAHO, Pan American Health Organization; s, surgery patient.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0006.tif"/>
</fig>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Prevalence of anti-HCV antibody in the general adult population by year. h, hospital recruitment; p, pregnant women; PAHO, Pan American Health Organization; s, surgery patient.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0007.tif"/>
</fig>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Prevalence of anti-HCV antibody in the general adult population by place of residence. h, hospital recruitment; p, pregnant women; PAHO, Pan American Health Organization; s, surgery patient.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-10-1099571-g0008.tif"/>
</fig>
<p>HCV RNA results were available in two studies (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Of 468 participants screened for anti-HCV, Fuster at al. (<xref ref-type="bibr" rid="B37">37</xref>) identified one participant positive for anti-HCV; HCV RNA was not detected in this anti-HCV positive individual using a Roche COBAS Real-Time PCR. In 25 participants positive for anti-HCV, Brogden et al. (<xref ref-type="bibr" rid="B39">39</xref>) reported detectable HCV RNA in ten (40.0%) using Abbott Alinity m reverse transcription PCR.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Through a systematic review and meta-analysis, the pooled prevalence of HBsAg was 3.5% (95% CI: 2.8&#x02013;4.4) and that of anti-HCV was 0.9% (95% CI: 0.6&#x02013;1.4) among the general adult population from Haiti. In this population, the prevalence of HBsAg might have decreased from 4.8% (before 2000) to 3.1% (after 2000), whilst such decrease was not observed for the prevalence of anti-HCV antibody. The prevalence of HBsAg did not considerably vary between people living in Haiti and those who migrated to other countries; a similar pattern was observed for anti-HCV. There was no study reporting the prevalence of HDV in Haitian.</p>
<p>To date, multiple studies reported a country-specific estimates for HBsAg in Haiti with marked variations. The highest estimate was provided by Schweitzer et al. (<xref ref-type="bibr" rid="B7">7</xref>) (13.6%, 95% CI: 9.0&#x02013;19.9). That systematic review and meta-analysis only included two studies with a total of 155 participants (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B29">29</xref>); importantly, they used the prevalence of HBsAg in people positive for hepatitis B core antibody (anti-HBc) that had been reported in one of the two included studies (<xref ref-type="bibr" rid="B29">29</xref>). It is obvious that those who have been exposed to HBV (i.e., anti-HBc positive) should have higher prevalence of HBsAg than the general population, thus leading to an overestimation of the HBV burden. The pooled prevalence of HBsAg among the general adult population in our meta-analysis (3.5%, 95% CI: 2.8&#x02013;4.4) fell into the range of the previous estimate reported by the Polaris Observatory Collaborators (2.9%, 95% CI: 2.7&#x02013;4.1) (<xref ref-type="bibr" rid="B10">10</xref>). Their hybrid method combining literature review, international expert interviews, meta-analysis, and modeling, yielded a pertinent estimate because it was based on large data on blood donors and pregnant women, all included as well in this review.</p>
<p>The prevalence observed in our systematic review was lower than the estimates in many of Asian or African countries, where about 6% of the population carry HBsAg (<xref ref-type="bibr" rid="B47">47</xref>&#x02013;<xref ref-type="bibr" rid="B51">51</xref>), but much higher than the Americas&#x00027; average (0.7%, 95% CI: 0.4&#x02013;1.6) (<xref ref-type="bibr" rid="B2">2</xref>). Assuming that 3.5% of 7.8 million adults in Haiti are chronically infected with HBV, about 273,000 people would need follow-up and care for their chronic HBV infection (<xref ref-type="bibr" rid="B52">52</xref>). Our findings also suggest that HBV prevalence might be higher among high-risk groups, including patients with tuberculosis or those living with HIV.</p>
<p>As expected, the HBsAg prevalence in pregnant women (3.8%) was similar to the prevalence in the general adult population. Although the rate of HBeAg carriage in HBsAg-positive mothers was not high, a significant proportion presented a high viral load (20.7% had a viral load &#x02265;200,000 IU/ml). This being a strong marker for MTCT (<xref ref-type="bibr" rid="B53">53</xref>), it is important to consider systematic measures for prevention of MTCT of HBV in Haiti.</p>
<p>We found a decreasing trend of HBsAg in the general adult population by comparing the pooled estimates before and after the year 2000. This decreasing trend might be underestimated by the use of non-sensitive assay before 2000; indeed, all the pre-2000 studies but one used radioimmunoassay to detect HBsAg, which has much lower analytical sensitivity than chemiluminescence or enzyme immunoassay that were used in studies conducted after 2000. This indicates that the true prevalence of HBsAg before 2000 could have been even higher than what we observed, further confirming the decreasing trend in HBsAg prevalence over time. This spontaneous decrease in HBsAg prevalence in adults, in the absence of a large impact from a recently introduced hepatitis B immunization program, could be explained by changes in demographic factors, such as decrease in sibship size or increase in maternal age at first childbirth in Haiti (<xref ref-type="bibr" rid="B54">54</xref>). Delaying the age of marriage and childbearing may result in a decrease in HBsAg prevalence because older mothers, if chronically infected with HBV, have a higher chance of having lost HBeAg and remaining in low viral load with a decrease in risk of transmitting HBV to their babies (<xref ref-type="bibr" rid="B55">55</xref>&#x02013;<xref ref-type="bibr" rid="B57">57</xref>). Moreover, the reduction in sibship size may contribute to the reduction in horizontal transmission that mainly occurs between siblings within a household (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). This aligns with the lower prevalence seen among children after 2000.</p>
<p>All but one study constantly showed that the prevalence of anti-HCV was below 1%, which is close to the average for the Americas (0.7%, 95% CI: 06&#x02013;0.8). There was no significant variation of the anti-HCV prevalence between studies conducted before 2000 (0.6%, 95% CI: 0.3&#x02013;1.5) and after 2000 (1.0%, 95% CI: 0.6&#x02013;1.6). No considerable variation in anti-HCV prevalence was observed by place of residence (0.9%, 95% CI: 0.5&#x02013;1.5 in Haiti and 1.0%, 95% CI: 0.7&#x02013;1.4 abroad). Assuming a prevalence of anti-HCV at 0.9% among adults and a proportion of 75% of anti-HCV positive to carry HCV RNA (<xref ref-type="bibr" rid="B60">60</xref>), there could be about 50,000 people in Haiti that are chronically infected with HCV and would benefit from curative treatment with directly acting antiviral (DAA). Most Haitians pay for medical fee out of pocket; therefore, it will help if DAAs are financed like antiretroviral drugs for HIV.</p>
<p>This review had a few constrains. First, in two studies reporting on HBsAg, we could not separate adult from children population (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), one of them also including pregnant women (<xref ref-type="bibr" rid="B27">27</xref>). Similarly, for one study reporting anti-HCV antibody, adults and children were considered together (<xref ref-type="bibr" rid="B44">44</xref>). Those three studies were analyzed as adult population. Second, the study by Jean-Baptiste et al. and the Pan American Health Organization evaluating blood donors did not distinguish first time donors from repeat blood donors (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B38">38</xref>); including regular blood donors in this group could cause an underestimation of the prevalence. Finally, we did not have enough studies to estimate prevalence of anti-HCV antibody for pregnant women, for PLHIV or to estimate the prevalence of HBsAg in children born after 2012.</p>
<p>In conclusion, this systematic review pooled prevalence for HBsAg and anti-HCV antibody among Haitian people. High prevalence of HBsAg in this population requires an urgent intervention such as increase in coverage of infant hepatitis B immunization, integration of birth dose vaccines, and prevention of mother-to-child transmission of HBV by antenatal screening and provision of peripartum antiviral prophylaxis. The prevalence of anti-HCV antibody was not as high as HBsAg, but still requires an immediate intervention as thousands of people could avoid having liver-related morbimortality in Haiti. This systematic review also identified an important knowledge gap; the prevalence of HDV needs to be evaluated in Haiti.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s9">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s6">
<title>Author contributions</title>
<p>JV and YS developed the study protocol and wrote the manuscript. JV performed the search and data analysis. JV and CN screened the articles and extracted the data. SW provided data. YM provided statistical support. All authors reviewed and agreed with the final version of the manuscript.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>JV was funded by a postdoctoral fellowship by the Institut Pasteur, Ambassade de France au Japon, and Fondation Pasteur Japon. JV is supported by the the Agence Nationale de Recherche sur le SIDA, les H&#x000E9;patites Virales et les Maladies Infectieuses &#x000C9;mergentes (ANRS-MIE).</p>
</sec>
<ack><p>We acknowledge the following authors for answering to our queries about study participants: Molly Franke, Mina Hosseinipour, Xin Sun, Giannina Izquierdo, Ruth Brogden, Jaymie Yango, and David B. Rein. We thank Simon Galmiche for his help retrieving papers.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>YS has received a research grant from Gilead and research materials from Abbott Laboratories and Fujirebio Inc. YM has received research materials from Abbott Laboratories and Roche Molecular Diagnostics. The remaining 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="s8">
<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>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2022.1099571/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2022.1099571/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
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<label>1.</label>
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