Hepatitis C Virus Epidemiology in Djibouti, Somalia, Sudan, and Yemen: Systematic Review and Meta-Analysis
Identifieur interne : 000408 ( Pmc/Corpus ); précédent : 000407; suivant : 000409Hepatitis C Virus Epidemiology in Djibouti, Somalia, Sudan, and Yemen: Systematic Review and Meta-Analysis
Auteurs : Karima Chaabna ; Silva P. Kouyoumjian ; Laith J. Abu-RaddadSource :
- PLoS ONE [ 1932-6203 ] ; 2016.
Abstract
To characterize hepatitis C virus (HCV) epidemiology and assess country-specific population-level HCV prevalence in four countries in the Middle East and North Africa (MENA) region: Djibouti, Somalia, Sudan, and Yemen.
Reports of HCV prevalence were systematically reviewed as per PRISMA guidelines. Pooled HCV prevalence estimates in different risk populations were conducted when the number of measures per risk category was at least five.
We identified 101 prevalence estimates. Pooled HCV antibody prevalence in the general population in Somalia, Sudan and Yemen was 0.9% (95% confidence interval [95%CI]: 0.3%–1.9%), 1.0% (95%CI: 0.3%–1.9%) and 1.9% (95%CI: 1.4%–2.6%), respectively. The only general population study from Djibouti reported a prevalence of 0.3% (CI: 0.2%–0.4%) in blood donors. In high-risk populations (e.g., haemodialysis and haemophilia patients), pooled HCV prevalence was 17.3% (95%CI: 8.6%–28.2%) in Sudan. In Yemen, three studies of haemodialysis patients reported HCV prevalence between 40.0%-62.7%. In intermediate-risk populations (e.g.. healthcare workers, in patients and men who have sex with men), pooled HCV prevalence was 1.7% (95%CI: 0.0%–4.9%) in Somalia and 0.6% (95%CI: 0.4%–0.8%) in Sudan.
National HCV prevalence in Yemen appears to be higher than in Djibouti, Somalia, and Sudan as well as most other MENA countries; but otherwise prevalence levels in this subregion are comparable to global levels. The high HCV prevalence in patients who have undergone clinical care appears to reflect ongoing transmission in clinical settings. HCV prevalence in people who inject drugs remains unknown.
Url:
DOI: 10.1371/journal.pone.0149966
PubMed: 26900839
PubMed Central: 4764686
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PMC:4764686Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Hepatitis C Virus Epidemiology in Djibouti, Somalia, Sudan, and Yemen: Systematic Review and Meta-Analysis</title><author><name sortKey="Chaabna, Karima" sort="Chaabna, Karima" uniqKey="Chaabna K" first="Karima" last="Chaabna">Karima Chaabna</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kouyoumjian, Silva P" sort="Kouyoumjian, Silva P" uniqKey="Kouyoumjian S" first="Silva P." last="Kouyoumjian">Silva P. Kouyoumjian</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation></author><author><name sortKey="Abu Raddad, Laith J" sort="Abu Raddad, Laith J" uniqKey="Abu Raddad L" first="Laith J." last="Abu-Raddad">Laith J. Abu-Raddad</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff003"><addr-line>College of Public Health, Hamad bin Khalifa University, Doha, Qatar</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26900839</idno><idno type="pmc">4764686</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764686</idno><idno type="RBID">PMC:4764686</idno><idno type="doi">10.1371/journal.pone.0149966</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000408</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000408</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Hepatitis C Virus Epidemiology in Djibouti, Somalia, Sudan, and Yemen: Systematic Review and Meta-Analysis</title><author><name sortKey="Chaabna, Karima" sort="Chaabna, Karima" uniqKey="Chaabna K" first="Karima" last="Chaabna">Karima Chaabna</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York, United States of America</addr-line></nlm:aff></affiliation></author><author><name sortKey="Kouyoumjian, Silva P" sort="Kouyoumjian, Silva P" uniqKey="Kouyoumjian S" first="Silva P." last="Kouyoumjian">Silva P. Kouyoumjian</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation></author><author><name sortKey="Abu Raddad, Laith J" sort="Abu Raddad, Laith J" uniqKey="Abu Raddad L" first="Laith J." last="Abu-Raddad">Laith J. Abu-Raddad</name><affiliation><nlm:aff id="aff001"><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff002"><addr-line>Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York, United States of America</addr-line></nlm:aff></affiliation><affiliation><nlm:aff id="aff003"><addr-line>College of Public Health, Hamad bin Khalifa University, Doha, Qatar</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Objectives</title><p>To characterize hepatitis C virus (HCV) epidemiology and assess country-specific population-level HCV prevalence in four countries in the Middle East and North Africa (MENA) region: Djibouti, Somalia, Sudan, and Yemen.</p></sec><sec id="sec002"><title>Methods</title><p>Reports of HCV prevalence were systematically reviewed as per PRISMA guidelines. Pooled HCV prevalence estimates in different risk populations were conducted when the number of measures per risk category was at least five.</p></sec><sec id="sec003"><title>Results</title><p>We identified 101 prevalence estimates. Pooled HCV antibody prevalence in the general population in Somalia, Sudan and Yemen was 0.9% (95% confidence interval [95%CI]: 0.3%–1.9%), 1.0% (95%CI: 0.3%–1.9%) and 1.9% (95%CI: 1.4%–2.6%), respectively. The only general population study from Djibouti reported a prevalence of 0.3% (CI: 0.2%–0.4%) in blood donors. In high-risk populations (e.g., haemodialysis and haemophilia patients), pooled HCV prevalence was 17.3% (95%CI: 8.6%–28.2%) in Sudan. In Yemen, three studies of haemodialysis patients reported HCV prevalence between 40.0%-62.7%. In intermediate-risk populations (e.g.. healthcare workers, in patients and men who have sex with men), pooled HCV prevalence was 1.7% (95%CI: 0.0%–4.9%) in Somalia and 0.6% (95%CI: 0.4%–0.8%) in Sudan.</p></sec><sec id="sec004"><title>Conclusion</title><p>National HCV prevalence in Yemen appears to be higher than in Djibouti, Somalia, and Sudan as well as most other MENA countries; but otherwise prevalence levels in this subregion are comparable to global levels. The high HCV prevalence in patients who have undergone clinical care appears to reflect ongoing transmission in clinical settings. 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Abu-Raddad</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Chemaitelly, H" uniqKey="Chemaitelly H">H Chemaitelly</name></author><author><name sortKey="Abu Raddad, Lj" uniqKey="Abu Raddad L">LJ Abu-Raddad</name></author><author><name sortKey="Miller, Fd" uniqKey="Miller F">FD Miller</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Benova, L" uniqKey="Benova L">L Benova</name></author><author><name sortKey="Awad, Sf" uniqKey="Awad S">SF Awad</name></author><author><name sortKey="Miller, Fd" uniqKey="Miller F">FD Miller</name></author><author><name sortKey="Abu Raddad, Lj" uniqKey="Abu Raddad L">LJ Abu-Raddad</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Guerra, J" uniqKey="Guerra J">J Guerra</name></author><author><name sortKey="Garenne, M" uniqKey="Garenne M">M Garenne</name></author><author><name sortKey="Mohamed, Mk" uniqKey="Mohamed M">MK Mohamed</name></author><author><name sortKey="Fontanet, A" uniqKey="Fontanet A">A Fontanet</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26900839</article-id><article-id pub-id-type="pmc">4764686</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0149966</article-id><article-id pub-id-type="publisher-id">PONE-D-15-43421</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>RNA viruses</subject><subj-group><subject>Flaviviruses</subject><subj-group><subject>Hepacivirus</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Microbiology</subject><subj-group><subject>Medical microbiology</subject><subj-group><subject>Microbial pathogens</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Flaviviruses</subject><subj-group><subject>Hepacivirus</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Pathology and laboratory medicine</subject><subj-group><subject>Pathogens</subject><subj-group><subject>Microbial pathogens</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Flaviviruses</subject><subj-group><subject>Hepacivirus</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Flaviviruses</subject><subj-group><subject>Hepacivirus</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Microbiology</subject><subj-group><subject>Medical microbiology</subject><subj-group><subject>Microbial pathogens</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Hepatitis viruses</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Pathology and laboratory medicine</subject><subj-group><subject>Pathogens</subject><subj-group><subject>Microbial pathogens</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Hepatitis viruses</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Organisms</subject><subj-group><subject>Viruses</subject><subj-group><subject>Viral pathogens</subject><subj-group><subject>Hepatitis viruses</subject><subj-group><subject>Hepatitis C virus</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Geographical Locations</subject><subj-group><subject>Asia</subject><subj-group><subject>Yemen</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Geographical Locations</subject><subj-group><subject>Africa</subject><subj-group><subject>Sudan</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Geographical Locations</subject><subj-group><subject>Africa</subject><subj-group><subject>Somalia</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and Health Sciences</subject><subj-group><subject>Health Care</subject><subj-group><subject>Blood Donors</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>People and Places</subject><subj-group><subject>Geographical Locations</subject><subj-group><subject>Africa</subject><subj-group><subject>Djibouti</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Mathematical and Statistical Techniques</subject><subj-group><subject>Statistical Methods</subject><subj-group><subject>Meta-Analysis</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Physical Sciences</subject><subj-group><subject>Mathematics</subject><subj-group><subject>Statistics (Mathematics)</subject><subj-group><subject>Statistical Methods</subject><subj-group><subject>Meta-Analysis</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and Analysis Methods</subject><subj-group><subject>Research Assessment</subject><subj-group><subject>Systematic Reviews</subject></subj-group></subj-group></subj-group></article-categories><title-group><article-title>Hepatitis C Virus Epidemiology in Djibouti, Somalia, Sudan, and Yemen: Systematic Review and Meta-Analysis</article-title><alt-title alt-title-type="running-head">HCV in Djibouti, Somalia, Sudan, and Yemen</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Chaabna</surname><given-names>Karima</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref><xref ref-type="corresp" rid="cor001">*</xref></contrib><contrib contrib-type="author"><name><surname>Kouyoumjian</surname><given-names>Silva P.</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Abu-Raddad</surname><given-names>Laith J.</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref ref-type="aff" rid="aff002"><sup>2</sup></xref><xref ref-type="aff" rid="aff003"><sup>3</sup></xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>Infectious Disease Epidemiology Group, Weill Cornell Medical College in Qatar, Cornell University, Qatar Foundation – Education City, Doha, Qatar</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, New York, United States of America</addr-line></aff><aff id="aff003"><label>3</label><addr-line>College of Public Health, Hamad bin Khalifa University, Doha, Qatar</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Blackard</surname><given-names>Jason</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>University of Cincinnati College of Medicine, UNITED STATES</addr-line></aff><author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: KC LJA-R. Performed the experiments: KC. Analyzed the data: KC SPK. Wrote the paper: KC LJA-R.</p></fn><corresp id="cor001">* E-mail: <email>kac2047@qatar-med.cornell.edu</email></corresp></author-notes><pub-date pub-type="epub"><day>22</day><month>2</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>11</volume><issue>2</issue><elocation-id>e0149966</elocation-id><history><date date-type="received"><day>26</day><month>10</month><year>2015</year></date><date date-type="accepted"><day>8</day><month>2</month><year>2016</year></date></history><permissions><copyright-statement>© 2016 Chaabna et al</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Chaabna et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0149966.pdf"></self-uri><abstract><sec id="sec001"><title>Objectives</title><p>To characterize hepatitis C virus (HCV) epidemiology and assess country-specific population-level HCV prevalence in four countries in the Middle East and North Africa (MENA) region: Djibouti, Somalia, Sudan, and Yemen.</p></sec><sec id="sec002"><title>Methods</title><p>Reports of HCV prevalence were systematically reviewed as per PRISMA guidelines. Pooled HCV prevalence estimates in different risk populations were conducted when the number of measures per risk category was at least five.</p></sec><sec id="sec003"><title>Results</title><p>We identified 101 prevalence estimates. Pooled HCV antibody prevalence in the general population in Somalia, Sudan and Yemen was 0.9% (95% confidence interval [95%CI]: 0.3%–1.9%), 1.0% (95%CI: 0.3%–1.9%) and 1.9% (95%CI: 1.4%–2.6%), respectively. The only general population study from Djibouti reported a prevalence of 0.3% (CI: 0.2%–0.4%) in blood donors. In high-risk populations (e.g., haemodialysis and haemophilia patients), pooled HCV prevalence was 17.3% (95%CI: 8.6%–28.2%) in Sudan. In Yemen, three studies of haemodialysis patients reported HCV prevalence between 40.0%-62.7%. In intermediate-risk populations (e.g.. healthcare workers, in patients and men who have sex with men), pooled HCV prevalence was 1.7% (95%CI: 0.0%–4.9%) in Somalia and 0.6% (95%CI: 0.4%–0.8%) in Sudan.</p></sec><sec id="sec004"><title>Conclusion</title><p>National HCV prevalence in Yemen appears to be higher than in Djibouti, Somalia, and Sudan as well as most other MENA countries; but otherwise prevalence levels in this subregion are comparable to global levels. The high HCV prevalence in patients who have undergone clinical care appears to reflect ongoing transmission in clinical settings. HCV prevalence in people who inject drugs remains unknown.</p></sec></abstract><funding-group><funding-statement>This publication was made possible by NPRP grant number 4-924-3-251 from the Qatar National Research Fund (a member of Qatar Foundation), url: <ext-link ext-link-type="uri" xlink:href="http://www.qnrf.org/en-us/">http://www.qnrf.org/en-us/</ext-link>. Additional support was provided by the Biostatistics, Epidemiology, and Biomathematics Research Core at the Weill Cornell Medical College in Qatar, url: <ext-link ext-link-type="uri" xlink:href="http://qatar-weill.cornell.edu/research/laboratories/biostatistics.html">http://qatar-weill.cornell.edu/research/laboratories/biostatistics.html</ext-link>. The statements made herein are solely the responsibility of the authors. The funders had no role in the design, conduct, or analysis of the study.</funding-statement></funding-group><counts><fig-count count="2"></fig-count><table-count count="3"></table-count><page-count count="25"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>All relevant data are within the paper and its Supporting Information files.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>All relevant data are within the paper and its Supporting Information files.</p></notes></front><body><sec sec-type="intro" id="sec005"><title>Introduction</title><p>The global distribution of hepatitis C virus (HCV) infection is the consequence of national and local circumstances that have facilitated or limited HCV transmission in different populations [<xref rid="pone.0149966.ref001" ref-type="bibr">1</xref>–<xref rid="pone.0149966.ref003" ref-type="bibr">3</xref>]. The geographical distribution of this infection appears to vary from one region to another. The Middle East and North Africa (MENA) region appears to have the highest HCV prevalence worldwide [<xref rid="pone.0149966.ref004" ref-type="bibr">4</xref>, <xref rid="pone.0149966.ref005" ref-type="bibr">5</xref>] with Egypt recording the highest national prevalence in the adult population at 14.7% [<xref rid="pone.0149966.ref006" ref-type="bibr">6</xref>, <xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>]. While the epidemiology of this infection is well studied in Egypt [<xref rid="pone.0149966.ref006" ref-type="bibr">6</xref>, <xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>], the infection status in most other MENA countries is yet to be well understood.</p><p>By applying a methodology developed recently [<xref rid="pone.0149966.ref008" ref-type="bibr">8</xref>, <xref rid="pone.0149966.ref009" ref-type="bibr">9</xref>], this study aims to characterize the epidemiology of HCV infection and to estimate the national population-level HCV antibody prevalence in Djibouti, Somalia, Sudan, and Yemen, a group of MENA countries that we have labelled conventionally as the Horn of Africa subregion of MENA. This group of MENA countries were studied within the framework of one study because of their geographic proximity. This study is part of a larger ongoing project—the MENA HCV Epidemiology Synthesis Project [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]–that aims to characterize the epidemiology of HCV across the MENA region and to inform public health policy and programming at the national and regional levels.</p></sec><sec sec-type="materials|methods" id="sec006"><title>Materials and Methods</title><p>The protocol for this systematic review has been described elsewhere [<xref rid="pone.0149966.ref008" ref-type="bibr">8</xref>] and is registered at the International Prospective Register of Systematic Reviews under registration number CRD42014010318 [<xref rid="pone.0149966.ref009" ref-type="bibr">9</xref>]. The study methodology of the present article was also applied and refined in several previous studies of HCV epidemiology in different subregions and countries within MENA [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]. We summarize our methodology in the following subsections. Further details can be found in the earlier descriptions and applications of this methodology [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>–<xref rid="pone.0149966.ref009" ref-type="bibr">9</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>].</p><sec id="sec007"><title>Data sources and search strategy</title><p>This review was conducted based on the items outlined in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement [<xref rid="pone.0149966.ref015" ref-type="bibr">15</xref>] (<xref ref-type="supplementary-material" rid="pone.0149966.s002">S1 Table</xref>). The search criteria are provided in <xref ref-type="supplementary-material" rid="pone.0149966.s003">S2 Table</xref>. As in previous studies [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>], we searched for English and non-English reports in PubMed, Embase and the World Health Organization (WHO) regional databases (WHO African Index Medicus [<xref rid="pone.0149966.ref016" ref-type="bibr">16</xref>] and WHO Index Medicus for the Eastern Mediterranean Region [<xref rid="pone.0149966.ref017" ref-type="bibr">17</xref>]) for entries up to May 17<sup>th</sup>, 2015. To identify further relevant reports, we screened all articles archived in online national scientific journals not indexed in PubMed or Embase (up to May 17<sup>th</sup>, 2015). These journals included the Yemeni Journal of Medical Sciences [<xref rid="pone.0149966.ref018" ref-type="bibr">18</xref>], the Sudan Journal of Medical Sciences [<xref rid="pone.0149966.ref019" ref-type="bibr">19</xref>] and the Sudan Medical Journal [<xref rid="pone.0149966.ref020" ref-type="bibr">20</xref>]. Moreover, the literature database of the MENA HIV/AIDS Epidemiology Synthesis Project was searched for potentially relevant country-level and international organizations’ reports (up to April 14, 2015) [<xref rid="pone.0149966.ref021" ref-type="bibr">21</xref>, <xref rid="pone.0149966.ref022" ref-type="bibr">22</xref>].</p><p>The database search was supplemented by checking references of the included reports and identified reviews. Lastly, we also searched the conference archives of the International AIDS Society conferences [<xref rid="pone.0149966.ref023" ref-type="bibr">23</xref>] and the ‘Endemic and Emerging Viral Diseases of Priority in the Middle East and North Africa (MENA)” workshop [<xref rid="pone.0149966.ref024" ref-type="bibr">24</xref>] (up to May 17<sup>th</sup>, 2015).</p></sec><sec id="sec008"><title>Inclusion and exclusion criteria</title><p>The inclusion and exclusion criteria were developed along the lines of our previous systematic reviews [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]. Studies with primary data were eligible for inclusion if they included populations who are permanently residing in any of the countries of Djibouti, Somalia, Sudan and Yemen. Our systematic review did not include migrants from these countries who are residing elsewhere. Studies such as Shire et <italic>al</italic>. 2012 [<xref rid="pone.0149966.ref025" ref-type="bibr">25</xref>] among migrant Somalis in the United States did not fit our inclusion criteria. Our definition for the MENA region was based on the MENA definition of the Eastern Mediterranean Regional Office of the World Health Organization (EMRO/WHO), the Joint United Nations Programme on HIV/AIDS (UNAIDS), and the World Bank. Djibouti, Somalia, Sudan, and Yemen were grouped together as part of one study because of their geographic proximity and because they could not fit within the scope of the other sub-regional studies of the MENA HCV Epidemiology Synthesis Project [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]. Although these countries were grouped in one article, we conducted the epidemiological analyses for each country separately. Sudan and South Sudan were considered as one country because the time period covered in this review extends well beyond the independence of South Sudan in 2011.</p><p>Other criteria for inclusion were availability of data on serological testing for HCV antibody and an estimate of HCV incidence or prevalence. Reports were considered ineligible if they were based on self-report, saliva testing, or classification of HCV as non-A non-B hepatitis. Case reports, case series, reviews, qualitative studies, editorials, commentaries, letters to editors, author replies and animal studies were excluded. Reports were included in the systematic review if the study sample size was greater than 15. In the meta-analyses however, we included from the systematic review studies only the studies that had a sample size greater than 25 for consistency with the other sub-regional analyses [<xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>].</p></sec><sec id="sec009"><title>Study selection</title><p>References obtained through the search strategy were imported into a reference manager, Endnote [<xref rid="pone.0149966.ref026" ref-type="bibr">26</xref>], where duplicate reports were identified and excluded. The titles and abstracts of identified unique reports were screened for relevance by Karima Chaabna (KC). After title and abstract screening, full texts of the reports deemed relevant or potentially relevant were retrieved and assessed for eligibility for inclusion by KC. During this step, any remaining non-eligible reports were excluded and the reasons for their exclusion recorded (<xref ref-type="fig" rid="pone.0149966.g001">Fig 1</xref>).</p><fig id="pone.0149966.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0149966.g001</object-id><label>Fig 1</label><caption><title>Flow of report selection for HCV incidence and prevalence in Djibouti, Somalia, Sudan and Yemen, adapted from the PRISMA guidelines [<xref rid="pone.0149966.ref015" ref-type="bibr">15</xref>].</title></caption><graphic xlink:href="pone.0149966.g001"></graphic></fig><sec id="sec010"><title>Data extraction and synthesis</title><p>Relevant data were extracted by KC and checked for correctness by Silva Kouyoumjian (SK). Discrepancies were discussed and resolved by the study team. As in previous studies [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>], extracted data included reference details (author(s), year of publication, title, and journal), study location, year(s) of data collection, study design, sampling technique, population profile (such as blood donors and healthcare workers (HCWs)), socio-demographic characteristics of the population (sex and age), number of participants who were included and who did participate, response rate, name of the serological test used to determine HCV exposure, and raw results obtained for the primary outcome (HCV incidence or prevalence estimates). The following parameters were also recorded from included studies when available: HCV RNA incidence and prevalence estimates; HCV genotype frequency; and adjusted or unadjusted statistically significant (probability (<italic>p)</italic> value ≤0.05) risk factors for HCV exposure. Relevant data were extracted from abstracts for studies for which full texts could not be obtained even after contacting the authors. Decimal places of prevalence figures were reported in this article as reported in the original reports. Prevalence figures with more than one decimal place were rounded to one decimal place, with the exception of those below 0.1%. All meta-analyses used original raw numbers of cases and samples, with no rounding.</p><p>In this systematic review, the word ‘report’ refers to a publication (article, country-level report, or conference abstract, among others) that presents one or several outcome measures, while the word ‘study’ refers to any one specific outcome measure. Several reports of the same outcome measure were identified as duplicates and counted as one study. HCV measures were treated and counted as separate studies if, within the same report, HCV measures were reported stratified by population subgroup, and/or sex, and/or study period, and/or region, and/or age.</p><p>As in the earlier studies [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>], extracted data were presented and analysed stratified by country and according to the study population’s risk of acquiring HCV infection as follows:</p><list list-type="order"><list-item><p>Populations at high risk: these include patients with a history of haemodialysis (HD), thalassaemia, haemophilia, multiple transfusions, or schistosomiasis. In addition, these high-risk populations included people who inject drugs (PWID).</p></list-item><list-item><p>Populations at intermediate risk: these include HCWs, patients with sexually transmitted diseases (STDs), hospitalized patients, female sex workers (FSWs), and men who have sex with men (MSM).</p></list-item><list-item><p>Populations at low-risk (general populations): these include pregnant women, antenatal clinic attendees, blood donors, tuberculosis outpatients, military personnel, controls in case-control studies, and healthy adults and children among other general populations.</p></list-item><list-item><p>Special clinical populations: these include patients with specific diseases that could be related to HCV infection such as chronic liver disease (CLD), viral hepatitis, cirrhosis, hepatocellular carcinoma (HCC), and non-Hodgkin lymphoma (NHL). This category also includes other clinical populations who could have been exposed to HCV in clinical settings, such as patients with leprosy or those treated in surgical departments, but at variable risk of exposure. In essence, this category encompasses patients with clinical conditions associated with HCV infection or patients at risk of exposure to HCV in clinical settings but with an uncertain level of exposure making it difficult to classify them under the former three risk population groups.</p></list-item><list-item><p>Mixed populations: these comprise samples of persons with variable HCV infection risk that is a mix of the other four population groups.</p></list-item></list></sec></sec><sec id="sec011"><title>Quantitative analysis</title><p>Data analyses were conducted in R v.3.1.1. [<xref rid="pone.0149966.ref027" ref-type="bibr">27</xref>] using the <italic>meta</italic> package [<xref rid="pone.0149966.ref028" ref-type="bibr">28</xref>] and in Stata/SE 13.1 using the <italic>metan</italic> command [<xref rid="pone.0149966.ref029" ref-type="bibr">29</xref>]. The 95% confidence interval (95%CI) for HCV prevalence estimate in each individual included study was calculated using the Clopper-Pearson (binomial) method [<xref rid="pone.0149966.ref030" ref-type="bibr">30</xref>]. Studies presenting a minimum sample size of 25 participants were included in the meta-analysis. HCV prevalence estimates were pooled when at least five studies were included in each risk population category for each country. All meta-analyses were conducted using random-effects models, to account for expected heterogeneity in effect size across studies. HCV prevalence estimates were weighed by the inverse-variance of the double-arcsine transformed proportions [<xref rid="pone.0149966.ref031" ref-type="bibr">31</xref>], according to the method described by DerSimonian and Laird [<xref rid="pone.0149966.ref032" ref-type="bibr">32</xref>]. The back-transformed pooled mean proportions were calculated using Miller’s inverse transformation with the harmonic mean of the sample sizes [<xref rid="pone.0149966.ref033" ref-type="bibr">33</xref>]. The value 0.5 was added to all cell frequencies of studies with a zero cell count [<xref rid="pone.0149966.ref034" ref-type="bibr">34</xref>]. Sensitivity analysis was conducted using the value of 0.01, instead of 0.5, but the same mean proportions and their 95%CIs were obtained. Forest plots for all meta-analyses were generated.</p><p>To assess heterogeneity across studies, forest plots were inspected visually and Cochran’s Q test was conducted [<xref rid="pone.0149966.ref035" ref-type="bibr">35</xref>]. A two-sided Q test <italic>p</italic>-value of <0.10 was considered as significant. I<sup>2</sup> heterogeneity measure and its 95%CI were calculated to assess the magnitude of between-study variation that is due to heterogeneity in effect size rather than chance [<xref rid="pone.0149966.ref036" ref-type="bibr">36</xref>]. The prediction interval was calculated to describe the distribution of true effects around the mean [<xref rid="pone.0149966.ref037" ref-type="bibr">37</xref>–<xref rid="pone.0149966.ref039" ref-type="bibr">39</xref>]. In situations of high heterogeneity and potential non-random biases, such as possibly in HCV prevalence measures in a given risk population, the prediction interval may provide a more interpretable summary of the variation in effect size in existing studies and potential true population mean.</p><p>A meta-regression [<xref rid="pone.0149966.ref040" ref-type="bibr">40</xref>] was undertaken to identify study-level factors contributing to the between-study heterogeneity in the pooled mean general population prevalence estimate. The following factors were entered into univariable and multivariable models: country, subpopulation within the low risk population, study design, study site, and precision of the measure. These factors were selected based on being reported in at least ten studies. These factors were included in the multivariable model if the p-value was <0.10.</p><p>National population-level HCV prevalence was estimated using individual study estimates of HCV prevalence in the general population in each country. Sensitivity analyses were conducted to assess the impact of excluding blood donor studies on pooled mean HCV prevalence estimates, and to assess the impact of excluding studies with a sample size lower than 1,000 and those published before 2000. The latter sensitivity analysis was motivated by the inclusion criteria in global estimations for HCV prevalence conducted recently by Gower <italic>et al</italic>.[<xref rid="pone.0149966.ref041" ref-type="bibr">41</xref>].</p></sec><sec id="sec012"><title>Quality assessment</title><p>Per earlier developed methodology [<xref rid="pone.0149966.ref008" ref-type="bibr">8</xref>, <xref rid="pone.0149966.ref009" ref-type="bibr">9</xref>], the quality of individual HCV prevalence estimates was determined by assessing the risk of bias (ROB) for each study and by evaluating the precision of each reported measure. ROB assessment was conducted by assessing the sources of bias that may affect the pooled mean estimates. Based on the Cochrane approach [<xref rid="pone.0149966.ref040" ref-type="bibr">40</xref>], each HCV prevalence measure was classified as having a low, high, or unclear ROB in three domains: sampling methodology, HCV infection ascertainment, and response rate. Response rate was defined as the number of tested individuals divided by the number of all persons invited to participate in the study [<xref rid="pone.0149966.ref042" ref-type="bibr">42</xref>]. ROB was considered low if (1) sampling was probability-based, (2) HCV was ascertained by biological assays, and (3) response rate was ≥80% or, for studies using respondent-driven sampling, ≥80% of the target sample size was reached. Studies with missing information for a specific domain were classified as having unclear ROB for that specific domain.</p><p>A study HCV prevalence estimate was considered as having good precision if the number of HCV tested individuals was at least 100. For a median HCV prevalence in the general population in this MENA subregion of 1.3% (see <xref ref-type="sec" rid="sec013">Results</xref>), this implies a 95%CI of 0%-5%.</p></sec></sec><sec sec-type="results" id="sec013"><title>Results</title><sec id="sec014"><title>Search results</title><p>The process of study selection was based on PRISMA guidelines [<xref rid="pone.0149966.ref015" ref-type="bibr">15</xref>] (<xref ref-type="fig" rid="pone.0149966.g001">Fig 1</xref>). We identified a total of 5,708 citations: 2,097 through PubMed, 3,611 through Embase, nine through WHO databases, two through conference databases, seven through national scientific journals not indexed in PubMed or Embase, and one through the MENA HIV/AIDS Epidemiology Synthesis Project database. A total of 58 records were identified as relevant or potentially relevant after removing duplicates and screening the titles and abstracts of remaining records. Out of these 58 records, 49 were eligible for inclusion in the systematic review at the full-text screening stage. The remaining were excluded for multiple reasons such as not meeting the eligibility criteria, absence of data on relevant indicators in the full text and/or abstract, failure to retrieve the full text and/or abstract of a record, and duplication of another study included in the review. Two additional records were identified through screening the bibliographies of studies and reviews [<xref rid="pone.0149966.ref043" ref-type="bibr">43</xref>, <xref rid="pone.0149966.ref044" ref-type="bibr">44</xref>]. To sum up, a total of 51 eligible reports and 101 HCV prevalence studies were included in the systematic review. These included one study in Djibouti, 17 studies in Somalia, 39 studies in Sudan and 44 studies in Yemen. No HCV incidence study was identified in this subregion.</p></sec><sec id="sec015"><title>HCV prevalence overview</title><p>HCV prevalence ranged from 2.2% to 62.7% (number of studies (n) = 11 and median = 18.4%) in high-risk populations and from 6.3% to 40.3% (n = 17 and median = 17.8%) in special clinical populations. Meanwhile, HCV prevalence ranged from 0% to 5.8% (n = 31 and median = 0.5%) in intermediate-risk populations and from 0% to 8.5% (n = 42 and median = 1.3%) in general populations. In what follows we present an overview of country-level HCV prevalence studies.</p><sec id="sec016"><title>Djibouti</title><p>The single study from Djibouti reported a prevalence of 0.3%. The majority of the sample were male blood donors (17–65 years old) [<xref rid="pone.0149966.ref043" ref-type="bibr">43</xref>] (<xref ref-type="table" rid="pone.0149966.t001">Table 1</xref>).</p><table-wrap id="pone.0149966.t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0149966.t001</object-id><label>Table 1</label><caption><title>Studies reporting HCV prevalence in the general population in Djibouti, Somalia, Sudan and Yemen.</title></caption><alternatives><graphic id="pone.0149966.t001g" xlink:href="pone.0149966.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="left" rowspan="1" colspan="1">Author, Year</th><th align="center" rowspan="1" colspan="1">Location</th><th align="center" rowspan="1" colspan="1">Study period</th><th align="center" rowspan="1" colspan="1">Study design</th><th align="center" rowspan="1" colspan="1">Population characteristic</th><th align="center" rowspan="1" colspan="1">Sample size</th><th align="center" rowspan="1" colspan="1">Prevalence (%)<xref ref-type="table-fn" rid="t001fn001">*</xref></th></tr></thead><tbody><tr><td align="center" colspan="7" rowspan="1"><bold>Djibouti</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Dray, 2005 (43)</td><td align="center" rowspan="1" colspan="1">Djibouti</td><td align="center" rowspan="1" colspan="1">1998–2000</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">8,057</td><td align="center" rowspan="1" colspan="1">0.3</td></tr><tr><td align="center" colspan="7" rowspan="1"><bold>Somalia</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Bile, 1992 (48)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1987</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Children in government-operated residence for abandoned children in SOS institution (boy and girls)</td><td align="center" rowspan="1" colspan="1">76</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1">EMRO, 2011 (49)</td><td align="center" rowspan="1" colspan="1">National</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">12,759</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1">Nur, 2000 (45)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1995</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">157</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">Aceti, 1993 (44)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Retrospective</td><td align="left" rowspan="1" colspan="1">Blood donors (nursing school students) no history of parenteral exposure to blood or blood products, nor clinical or pathological picture compatible with viral hepatitis, nor any other apparent indication of liver disease.</td><td align="center" rowspan="1" colspan="1">309</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Bile, 1992 (48)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1987</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Children in government-operated residence for abandoned children in Shebeli (girls)</td><td align="center" rowspan="1" colspan="1">287</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Watts, 1994 (46)</td><td align="center" rowspan="1" colspan="1">Mogadishu, Merca and Chismayu</td><td align="center" rowspan="1" colspan="1">1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Military personnel</td><td align="center" rowspan="1" colspan="1">79</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Bile, 1992 (48)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1987</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Children in government-operated residence for abandoned children in Shebeli (boys)</td><td align="center" rowspan="1" colspan="1">309</td><td align="center" rowspan="1" colspan="1">1.9</td></tr><tr><td align="left" rowspan="1" colspan="1">Watts, 1994 (46)</td><td align="center" rowspan="1" colspan="1">Mogadishu, Merca and Chismayu</td><td align="center" rowspan="1" colspan="1">1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Outpatients with tuberculosis</td><td align="center" rowspan="1" colspan="1">43</td><td align="center" rowspan="1" colspan="1">2.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Bile, 1993 (47)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1989</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control patients treated from different hospital departments</td><td align="center" rowspan="1" colspan="1">62</td><td align="center" rowspan="1" colspan="1">6.4</td></tr><tr><td align="center" colspan="7" rowspan="1"><bold>Sudan</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Elfaki, 2008 (66)</td><td align="center" rowspan="1" colspan="1">El Obeid</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors (farmers, shepherds, soldiers, lorry drivers, labours, employees, and others)</td><td align="center" rowspan="1" colspan="1">260</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1">Elsheikh, 2007 (63)</td><td align="center" rowspan="1" colspan="1">Omdurman</td><td align="center" rowspan="1" colspan="1">2006</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Pregnant women</td><td align="center" rowspan="1" colspan="1">423</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">Abou, 2009 (64)</td><td align="center" rowspan="1" colspan="1">Nyala (Dar Fur)</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">400</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Osman, 2014 (67)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">2011</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Women attending maternity hospital (patients with antepartum haemorrhage, hypertension and diabetes mellitus excluded)</td><td align="center" rowspan="1" colspan="1">396</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Nagi, 2007 (65)</td><td align="center" rowspan="1" colspan="1">Shendi</td><td align="center" rowspan="1" colspan="1">2005</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors (males)</td><td align="center" rowspan="1" colspan="1">78</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Omer, 2001 (61)</td><td align="center" rowspan="1" colspan="1">Gezira and North Kordofan</td><td align="center" rowspan="1" colspan="1">1996–1998</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control from general population</td><td align="center" rowspan="1" colspan="1">199</td><td align="center" rowspan="1" colspan="1">2</td></tr><tr><td align="left" rowspan="1" colspan="1">Mohamedani, 2014 (50)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Non-<italic>Schistosoma</italic> infected controls</td><td align="center" rowspan="1" colspan="1">100</td><td align="center" rowspan="1" colspan="1">4</td></tr><tr><td align="center" colspan="7" rowspan="1"><bold>Yemen</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">Gray, 1999 (89)</td><td align="center" rowspan="1" colspan="1">Hajjah</td><td align="center" rowspan="1" colspan="1">1992</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">General population</td><td align="center" rowspan="1" colspan="1">253</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1">Sallam, 2003 (84)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">1999–2002</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors (males)</td><td align="center" rowspan="1" colspan="1">493</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1">Sallam, 2003 (84)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">1999–2002</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors (males)</td><td align="center" rowspan="1" colspan="1">494</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1">Saghir, 2012 (92)</td><td align="center" rowspan="1" colspan="1">Hobeidah</td><td align="center" rowspan="1" colspan="1">2009–2010</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">564</td><td align="center" rowspan="1" colspan="1">0.7</td></tr><tr><td align="left" rowspan="1" colspan="1">Selm, 2010 (69)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control consisting of blood donors (males)</td><td align="center" rowspan="1" colspan="1">100</td><td align="center" rowspan="1" colspan="1">0.8</td></tr><tr><td align="left" rowspan="1" colspan="1">Saghir, 2012 (92)</td><td align="center" rowspan="1" colspan="1">Hobeidah</td><td align="center" rowspan="1" colspan="1">2008–2009</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">919</td><td align="center" rowspan="1" colspan="1">0.9</td></tr><tr><td align="left" rowspan="1" colspan="1">Gray, 1999 (89)</td><td align="center" rowspan="1" colspan="1">Ibb</td><td align="center" rowspan="1" colspan="1">1992</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">General population from Al Homaadi village</td><td align="center" rowspan="1" colspan="1">175</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Gray, 1999 (89)</td><td align="center" rowspan="1" colspan="1">Ibb</td><td align="center" rowspan="1" colspan="1">1992</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">General population from Mouthan village</td><td align="center" rowspan="1" colspan="1">158</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Oshaish, 2008 (91)</td><td align="center" rowspan="1" colspan="1">Taiz</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">1,000</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">El Guneid, 1993 (80)</td><td align="center" rowspan="1" colspan="1">Taiz</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors (males)</td><td align="center" rowspan="1" colspan="1">294</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1">Al-Waleedi, 2012 (83)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007–2008</td><td align="left" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">469</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Gacche, 2012 (94)</td><td align="center" rowspan="1" colspan="1">Ibb</td><td align="center" rowspan="1" colspan="1">2010–2011</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Healthy subjects</td><td align="center" rowspan="1" colspan="1">2,379</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Sallam, 2003 (84)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">1999–2002</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">African migrant community living in a shantytown</td><td align="center" rowspan="1" colspan="1">593</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Omer, 2010 (88)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">5,825</td><td align="center" rowspan="1" colspan="1">2</td></tr><tr><td align="left" rowspan="1" colspan="1">Haidar, 2002 (68)</td><td align="center" rowspan="1" colspan="1">Hajjah</td><td align="center" rowspan="1" colspan="1">1997–1999</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">2,434</td><td align="center" rowspan="1" colspan="1">2</td></tr><tr><td align="left" rowspan="1" colspan="1">Al-Shamiri, 2011 (87)</td><td align="center" rowspan="1" colspan="1">Taiz</td><td align="center" rowspan="1" colspan="1">2007–2009</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Children at school</td><td align="center" rowspan="1" colspan="1">141</td><td align="center" rowspan="1" colspan="1">2.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Alodini, 2012 (90)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2010</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Blood donors</td><td align="center" rowspan="1" colspan="1">3,000</td><td align="center" rowspan="1" colspan="1">3</td></tr><tr><td align="left" rowspan="1" colspan="1">El Guneid, 1993 (80)</td><td align="center" rowspan="1" colspan="1">Taiz</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Healthy pregnant women</td><td align="center" rowspan="1" colspan="1">243</td><td align="center" rowspan="1" colspan="1">3.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Salem, 2009 (78)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2005–2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control patients—females—treated from different hospital departments (patients coming from different parts of the country)</td><td align="center" rowspan="1" colspan="1">8,055</td><td align="center" rowspan="1" colspan="1">3.5</td></tr><tr><td align="left" rowspan="1" colspan="1">Denis, 1994 (73)</td><td align="center" rowspan="1" colspan="1">.</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control patients (blood donors and pregnant women)</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">3.9</td></tr><tr><td align="left" rowspan="1" colspan="1">Al-Moslih, 2001 (76)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control patients (no history of liver disease)</td><td align="center" rowspan="1" colspan="1">120</td><td align="center" rowspan="1" colspan="1">4.2</td></tr><tr><td align="left" rowspan="1" colspan="1">Salem, 2009 (78)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2005–2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Control patients—males—treated from different hospital departments (patients coming from different parts of the country)</td><td align="center" rowspan="1" colspan="1">20,329</td><td align="center" rowspan="1" colspan="1">4.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Sallam, 2003 (84)</td><td align="center" rowspan="1" colspan="1">Soqotra Island</td><td align="center" rowspan="1" colspan="1">1999–2002</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Residents of Soqotra</td><td align="center" rowspan="1" colspan="1">99</td><td align="center" rowspan="1" colspan="1">5</td></tr><tr><td align="left" rowspan="1" colspan="1">Scott, 1992 (86)</td><td align="center" rowspan="1" colspan="1">Sana'a, Hajjah, Taiz and Hobeidah</td><td align="center" rowspan="1" colspan="1">1988</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Healthy children and adults</td><td align="center" rowspan="1" colspan="1">348</td><td align="center" rowspan="1" colspan="1">6</td></tr><tr><td align="left" rowspan="1" colspan="1">Murad, 2013 (85)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2011</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Pregnant women at a hospital</td><td align="center" rowspan="1" colspan="1">400</td><td align="center" rowspan="1" colspan="1">8.5</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t001fn001"><p>*Prevalence figures with more than one decimal place were rounded to one decimal place.Abbreviations: SOS: Société Organisation Sociale; EMRO: WHO regional office for the Eastern Mediterranean.</p></fn></table-wrap-foot></table-wrap></sec><sec id="sec017"><title>Somalia</title><p>There were no studies in high risk populations. Among intermediate-risk populations, HCV prevalence was in the range of 0%–7% (n = 5 and median = 2.4%) [<xref rid="pone.0149966.ref044" ref-type="bibr">44</xref>–<xref rid="pone.0149966.ref046" ref-type="bibr">46</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). The highest HCV prevalence of 7% was recorded for hospitalized adults and the lowest of 0% was reported among hospitalized children [<xref rid="pone.0149966.ref044" ref-type="bibr">44</xref>]. In special clinical populations, HCV prevalence was high at 14.5% [<xref rid="pone.0149966.ref044" ref-type="bibr">44</xref>] and 40.3% [<xref rid="pone.0149966.ref047" ref-type="bibr">47</xref>] among patients with CLD (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>).</p><table-wrap id="pone.0149966.t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0149966.t002</object-id><label>Table 2</label><caption><title>Studies reporting HCV prevalence in high-risk, intermediate-risk and special clinical population groups in Djibouti, Somalia, Sudan and Yemen.</title></caption><alternatives><graphic id="pone.0149966.t002g" xlink:href="pone.0149966.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="1" colspan="1">Population risk group</th><th align="left" rowspan="1" colspan="1">Author, Year</th><th align="center" rowspan="1" colspan="1">Location</th><th align="center" rowspan="1" colspan="1">Study period</th><th align="center" rowspan="1" colspan="1">Study design</th><th align="center" rowspan="1" colspan="1">Population characteristic</th><th align="center" rowspan="1" colspan="1">Sample size</th><th align="center" rowspan="1" colspan="1">Prevalence (%)<xref ref-type="table-fn" rid="t002fn001">*</xref></th></tr></thead><tbody><tr><td align="center" colspan="8" rowspan="1"><bold>Somalia</bold></td></tr><tr><td align="center" rowspan="1" colspan="1">Intermediate-risk</td><td align="left" rowspan="1" colspan="1">Aceti, 1993 (44)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Hospitalized children at a hospital for diseases other than hepatitis</td><td align="center" rowspan="1" colspan="1">287</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Watts, 1994 (46)</td><td align="center" rowspan="1" colspan="1">Mogadishu, Merca and Chismayu</td><td align="center" rowspan="1" colspan="1">1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">236</td><td align="center" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Groen, 2000 (45)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1995</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Hospitalized children for measles, tuberculosis, anaemia and other febrile illnesses</td><td align="center" rowspan="1" colspan="1">42</td><td align="center" rowspan="1" colspan="1">2.4</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Watts, 1994 (46)</td><td align="center" rowspan="1" colspan="1">Mogadishu, Merca and Chismayu</td><td align="center" rowspan="1" colspan="1">1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with STDs</td><td align="center" rowspan="1" colspan="1">80</td><td align="center" rowspan="1" colspan="1">2.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Groen, 2000 (45)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1995</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Hospitalized adult for tuberculosis, malaria, acute respiratory infections, and unknown diagnosis (no clinically evident case of hepatitis)</td><td align="center" rowspan="1" colspan="1">57</td><td align="center" rowspan="1" colspan="1">7</td></tr><tr><td align="center" rowspan="2" colspan="1">Special Clinical populations</td><td align="left" rowspan="1" colspan="1">Aceti, 1993 (44)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with CLD</td><td align="center" rowspan="1" colspan="1">110</td><td align="center" rowspan="1" colspan="1">14.5</td></tr><tr><td align="left" rowspan="1" colspan="1">Bile, 1993 (47)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1989</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Cases with CLD including HCC</td><td align="center" rowspan="1" colspan="1">62</td><td align="center" rowspan="1" colspan="1">40.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Mixed populations</td><td align="left" rowspan="1" colspan="1">Aceti, 1993 (44)</td><td align="center" rowspan="1" colspan="1">Mogadishu</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Mixed population with high prevalence of <italic>Schistosoma haematobium</italic>: 98 prisoners and 81 patients from the Psychiatric Clinic of Mogadishu</td><td align="center" rowspan="1" colspan="1">179</td><td align="center" rowspan="1" colspan="1">2.2</td></tr><tr><td align="center" colspan="8" rowspan="1"><bold>Sudan</bold></td></tr><tr><td align="left" rowspan="1" colspan="1">High risk</td><td align="left" rowspan="1" colspan="1">Mudawi, 2007b (51)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2001</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with hepatosplenic schistosomiasis</td><td align="center" rowspan="1" colspan="1">176</td><td align="center" rowspan="1" colspan="1">4.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Gasim, 2012 (55)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2010</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">353</td><td align="center" rowspan="1" colspan="1">8.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Gadour, 2011 (53)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2008</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients (males) with haemophilia</td><td align="center" rowspan="1" colspan="1">62</td><td align="center" rowspan="1" colspan="1">13</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">El-Amin, 2007 (54)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2005</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">236</td><td align="center" rowspan="1" colspan="1">23.7</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Mohamedani, 2014 (50)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with schistosomiasis</td><td align="center" rowspan="1" colspan="1">106</td><td align="center" rowspan="1" colspan="1">31.1</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Suliman, 1995 (56)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">1994</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">46</td><td align="center" rowspan="1" colspan="1">34.9</td></tr><tr><td align="left" rowspan="1" colspan="1">Mixed populations</td><td align="left" rowspan="1" colspan="1">Mudawi, 2007a (52)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">2000</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Participant enrolled from the population of Um Zukra village (population schistosomiasis prevalence of 70%)</td><td align="center" rowspan="1" colspan="1">410</td><td align="center" rowspan="1" colspan="1">2.2</td></tr><tr><td align="center" rowspan="1" colspan="1">Intermediate-risk</td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">296</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">292</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">El-Amin, 2007 (54)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2005</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Employees at a haemodialysis centre</td><td align="center" rowspan="1" colspan="1">62</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">North Kodofan</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">296</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Nail, 2008 (58)</td><td align="center" rowspan="1" colspan="1">Omdurman</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Health care workers at the Tropical Diseases Teaching Hospital</td><td align="center" rowspan="1" colspan="1">211</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">River Nile</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">291</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Sinnar</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">312</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">White Nile</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">288</td><td align="center" rowspan="1" colspan="1">0</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">North Kodofan</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">304</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Sinnar</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">303</td><td align="center" rowspan="1" colspan="1">0.2</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Alshamalia</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">305</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">305</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">West Darfur</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">303</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">River Nile</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">300</td><td align="center" rowspan="1" colspan="1">0.6</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Gezira</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">135</td><td align="center" rowspan="1" colspan="1">1</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">White Nile</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">307</td><td align="center" rowspan="1" colspan="1">1.1</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">Alshamalia</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">305</td><td align="center" rowspan="1" colspan="1">1.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Mudawi, 2014 (59)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2010–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with HIV</td><td align="center" rowspan="1" colspan="1">358</td><td align="center" rowspan="1" colspan="1">1.7</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">North Darfur</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">303</td><td align="center" rowspan="1" colspan="1">2.6</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">McCarthy, 1994 (60)</td><td align="center" rowspan="1" colspan="1">Juba</td><td align="center" rowspan="1" colspan="1">1989</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Paediatric and adolescent patients</td><td align="center" rowspan="1" colspan="1">666</td><td align="center" rowspan="1" colspan="1">3</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">South Darfur</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Female sex workers</td><td align="center" rowspan="1" colspan="1">299</td><td align="center" rowspan="1" colspan="1">5.1</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Suliman, 1995 (56)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">1994</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Health care workers at the Khartoum Kidney Dialysis Center</td><td align="center" rowspan="1" colspan="1">37</td><td align="center" rowspan="1" colspan="1">5.4</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">IBBS National Team, 2013 (57)</td><td align="center" rowspan="1" colspan="1">South Darfur</td><td align="center" rowspan="1" colspan="1">2011–2012</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Men who have sex with men</td><td align="center" rowspan="1" colspan="1">172</td><td align="center" rowspan="1" colspan="1">5.9</td></tr><tr><td align="center" rowspan="1" colspan="1">Special Clinical populations</td><td align="left" rowspan="1" colspan="1">Ahmed, 2008 (62)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Pregnant women with acute viral hepatitis at three main hospitals in Khartoum</td><td align="center" rowspan="1" colspan="1">16</td><td align="center" rowspan="1" colspan="1">6.3</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Omer, 2001 (61)</td><td align="center" rowspan="1" colspan="1">Khartoum</td><td align="center" rowspan="1" colspan="1">1996–1998</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Patients with HCC</td><td align="center" rowspan="1" colspan="1">115</td><td align="center" rowspan="1" colspan="1">11</td></tr><tr><td align="center" colspan="8" rowspan="1"><bold>Yemen</bold></td></tr><tr><td align="center" rowspan="1" colspan="1">High-risk</td><td align="left" rowspan="1" colspan="1">Haidar, 2002 (68)</td><td align="center" rowspan="1" colspan="1">Hajjah</td><td align="center" rowspan="1" colspan="1">1997–1999</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">30</td><td align="center" rowspan="1" colspan="1">40</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Aman, 2015 (70)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2000–2013</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">219</td><td align="center" rowspan="1" colspan="1">40.2</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Selm, 2010 (69)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Haemodialysis patients</td><td align="center" rowspan="1" colspan="1">51</td><td align="center" rowspan="1" colspan="1">62.7</td></tr><tr><td align="center" rowspan="1" colspan="1">Intermediate-risk</td><td align="left" rowspan="1" colspan="1">Haidar, 2002 (68)</td><td align="center" rowspan="1" colspan="1">Hajjah</td><td align="center" rowspan="1" colspan="1">1997–1999</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Hospital employees</td><td align="center" rowspan="1" colspan="1">200</td><td align="center" rowspan="1" colspan="1">0.5</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Al-Jarba, 2003</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Hospital employees: 298 nurses, 95 doctors, 86 technical staff, 55 administrators and 43 maintenance staff</td><td align="center" rowspan="1" colspan="1">576</td><td align="center" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Shidrawi, 2004 (71)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Health care workers</td><td align="center" rowspan="1" colspan="1">546</td><td align="center" rowspan="1" colspan="1">3.5</td></tr><tr><td align="center" rowspan="1" colspan="1">Special Clinical populations</td><td align="left" rowspan="1" colspan="1">Gunaid, 1997 (74)</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with acute viral hepatitis</td><td align="center" rowspan="1" colspan="1">78</td><td align="center" rowspan="1" colspan="1">6.4</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Bakhubaira, 2009 (81)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007–2008</td><td align="center" rowspan="1" colspan="1">Retrospective</td><td align="left" rowspan="1" colspan="1">Patients with breast cancer, gastrointestinal malignancies and lymphomas</td><td align="center" rowspan="1" colspan="1">449</td><td align="center" rowspan="1" colspan="1">8</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Haidar, 2002 (68)</td><td align="center" rowspan="1" colspan="1">Hajjah</td><td align="center" rowspan="1" colspan="1">1997–1999</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients suspected to have liver disease</td><td align="center" rowspan="1" colspan="1">749</td><td align="center" rowspan="1" colspan="1">8.8</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Salem, 2009 (78)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2005–2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Cases with NHL (females) treated in the haematology and oncology unit (patients coming from different parts of the country)</td><td align="center" rowspan="1" colspan="1">75</td><td align="center" rowspan="1" colspan="1">10.7</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Al-Mansoob, 2013 (75)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2009–2011</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients in surgical departments</td><td align="center" rowspan="1" colspan="1">394</td><td align="center" rowspan="1" colspan="1">14.2</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Salem, 2009 (78)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2005–2007</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Cases with NHL (males) treated in the haematology and oncology unit (patients coming from different parts of the country)</td><td align="center" rowspan="1" colspan="1">117</td><td align="center" rowspan="1" colspan="1">17.6</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Selm, 2010 (69)</td><td align="center" rowspan="1" colspan="1">Aden</td><td align="center" rowspan="1" colspan="1">2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with HCC, CLD, and cirrhosis</td><td align="center" rowspan="1" colspan="1">67</td><td align="center" rowspan="1" colspan="1">17.9</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Denis, 1994 (73)</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">1988–1990</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Cases with leprosy</td><td align="center" rowspan="1" colspan="1">117</td><td align="center" rowspan="1" colspan="1">21</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">El Guneid, 1993 (80)</td><td align="center" rowspan="1" colspan="1">Taiz, Sana'a</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with CLD</td><td align="center" rowspan="1" colspan="1">107</td><td align="center" rowspan="1" colspan="1">21.8</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Saeed, 2012 (77)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2008–2010</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with HCC</td><td align="center" rowspan="1" colspan="1">88</td><td align="center" rowspan="1" colspan="1">28.4</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Al-Selwi, 2009 (82)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2004–2007</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with HCC</td><td align="center" rowspan="1" colspan="1">54</td><td align="center" rowspan="1" colspan="1">37</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Al-Moslih, 2001 (76)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">Case-control</td><td align="left" rowspan="1" colspan="1">Cases with acute and CLD (liver disease, acute viral hepatitis, chronic viral hepatitis, and cryptic or autoimmune disease)</td><td align="center" rowspan="1" colspan="1">286</td><td align="center" rowspan="1" colspan="1">37.1</td></tr><tr><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1">Salem, 2012 (79)</td><td align="center" rowspan="1" colspan="1">Sana'a</td><td align="center" rowspan="1" colspan="1">2001–2008</td><td align="center" rowspan="1" colspan="1">Cross-sectional</td><td align="left" rowspan="1" colspan="1">Patients with HCC (with cirrhosis in 187 patients and non-cirrhosis in 64 patients)</td><td align="center" rowspan="1" colspan="1">251</td><td align="center" rowspan="1" colspan="1">38.2</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t002fn001"><p>*Prevalence figures with more than one decimal place were rounded to one decimal place.</p></fn><fn id="t002fn002"><p>Abbreviations: CLD: chronic liver disease; HCC: hepatocellular carcinoma; NHL: non-Hodgkin lymphomas; STD: sexually transmitted disease; IBBS: integrated bio-behavioural HIV surveillance surveys.</p></fn></table-wrap-foot></table-wrap><p>In the general population, rather low HCV prevalence was reported in most studies (n = 9 and median = 1%) [<xref rid="pone.0149966.ref044" ref-type="bibr">44</xref>–<xref rid="pone.0149966.ref049" ref-type="bibr">49</xref>] (<xref ref-type="table" rid="pone.0149966.t001">Table 1</xref>). The lowest HCV prevalence of 0% was reported in a group of children from a government-operated residence for abandoned children [<xref rid="pone.0149966.ref048" ref-type="bibr">48</xref>]; while the highest prevalence of 6.4% was reported in controls in a case-control study [<xref rid="pone.0149966.ref047" ref-type="bibr">47</xref>] (<xref ref-type="table" rid="pone.0149966.t001">Table 1</xref>). The most recent study, conducted in 2011, tested 12,759 blood donors and reported a prevalence of 0.5% [<xref rid="pone.0149966.ref049" ref-type="bibr">49</xref>].</p></sec><sec id="sec018"><title>Sudan</title><p>In high-risk populations, most studies reported high HCV prevalence in the range of 4.5%–34.9% (n = 6 and median = 18.4%) [<xref rid="pone.0149966.ref050" ref-type="bibr">50</xref>–<xref rid="pone.0149966.ref056" ref-type="bibr">56</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). High HCV prevalence was reported in clinical populations including HD patients (between 8.5% and 34.9%) [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>–<xref rid="pone.0149966.ref056" ref-type="bibr">56</xref>] and haemophilia patients (13%) [<xref rid="pone.0149966.ref053" ref-type="bibr">53</xref>].</p><p>In intermediate-risk populations, most studies reported low HCV prevalence in the range of 0%–5.9% (n = 23 and median = 0.5%) [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>, <xref rid="pone.0149966.ref056" ref-type="bibr">56</xref>–<xref rid="pone.0149966.ref060" ref-type="bibr">60</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). The majority of HCV prevalence estimates were in MSM and FSWs [<xref rid="pone.0149966.ref057" ref-type="bibr">57</xref>]. The highest prevalence was reported in MSM and FSWs from South Darfur (5.9% and 5.1%, respectively) [<xref rid="pone.0149966.ref057" ref-type="bibr">57</xref>] and in HCWs in a dialysis centre in Khartoum (5.4%) [<xref rid="pone.0149966.ref056" ref-type="bibr">56</xref>].</p><p>In special clinical populations, one study reported an HCV prevalence of 11% in patients with HCC [<xref rid="pone.0149966.ref061" ref-type="bibr">61</xref>] and another study reported an HCV prevalence of 6.3% in pregnant women with acute viral hepatitis [<xref rid="pone.0149966.ref062" ref-type="bibr">62</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>).</p><p>In the general population, rather low HCV prevalence was reported in most studies that ranged from 0%-4% (n = 7 and median = 1.3%) [<xref rid="pone.0149966.ref050" ref-type="bibr">50</xref>, <xref rid="pone.0149966.ref061" ref-type="bibr">61</xref>, <xref rid="pone.0149966.ref063" ref-type="bibr">63</xref>–<xref rid="pone.0149966.ref067" ref-type="bibr">67</xref>] (<xref ref-type="table" rid="pone.0149966.t001">Table 1</xref>). The lowest prevalence was observed in a study among blood donors at 0% [<xref rid="pone.0149966.ref066" ref-type="bibr">66</xref>] and in a study among pregnant women at 0.6% [<xref rid="pone.0149966.ref063" ref-type="bibr">63</xref>], while the highest prevalence of 4% was reported in non-<italic>Schistosoma-</italic>infected controls [<xref rid="pone.0149966.ref050" ref-type="bibr">50</xref>].</p></sec><sec id="sec019"><title>Yemen</title><p>In high-risk populations, three studies measured HCV prevalence among HD patients and estimated it at a high level of 40% [<xref rid="pone.0149966.ref068" ref-type="bibr">68</xref>], 40.2% [<xref rid="pone.0149966.ref069" ref-type="bibr">69</xref>] and 62.7% [<xref rid="pone.0149966.ref070" ref-type="bibr">70</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). In intermediate-risk populations, three studies reported HCV prevalence among HCWs at 0.5% [<xref rid="pone.0149966.ref068" ref-type="bibr">68</xref>], 1.3% [<xref rid="pone.0149966.ref071" ref-type="bibr">71</xref>] and 3.5% [<xref rid="pone.0149966.ref072" ref-type="bibr">72</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). In special clinical populations, overall high HCV prevalence was observed in the range of 6.4%–38.2% (n = 13 and median = 17.9%) [<xref rid="pone.0149966.ref068" ref-type="bibr">68</xref>, <xref rid="pone.0149966.ref070" ref-type="bibr">70</xref>, <xref rid="pone.0149966.ref073" ref-type="bibr">73</xref>–<xref rid="pone.0149966.ref082" ref-type="bibr">82</xref>] (<xref ref-type="table" rid="pone.0149966.t002">Table 2</xref>). The highest prevalence estimates were reported in patients with acute and chronic hepatitis at 37.1% [<xref rid="pone.0149966.ref076" ref-type="bibr">76</xref>] and in patients with HCC at 38.2% [<xref rid="pone.0149966.ref079" ref-type="bibr">79</xref>].</p><p>In the general population, HCV prevalence was in the range of 0%–8.5% (n = 25 and median = 1.3%) [<xref rid="pone.0149966.ref070" ref-type="bibr">70</xref>, <xref rid="pone.0149966.ref073" ref-type="bibr">73</xref>, <xref rid="pone.0149966.ref076" ref-type="bibr">76</xref>, <xref rid="pone.0149966.ref078" ref-type="bibr">78</xref>, <xref rid="pone.0149966.ref080" ref-type="bibr">80</xref>, <xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>–<xref rid="pone.0149966.ref092" ref-type="bibr">92</xref>] (<xref ref-type="table" rid="pone.0149966.t001">Table 1</xref>). The highest prevalence at 8.5% was reported in 400 pregnant women in Sana’a in 2011 [<xref rid="pone.0149966.ref085" ref-type="bibr">85</xref>]. The study with the largest sample size (20,329 individuals) reported a prevalence of 4.3% among male controls recruited for a case-control study in 2005–2007.</p></sec></sec><sec id="sec020"><title>Pooled mean HCV prevalence estimates</title><p>The pooled country-specific estimates for the national population-level HCV prevalence, based on pooling the general population measures, were: 0.9% (95%CI: 0.3%–1.9%) in Somalia, 1.0% (95%CI: 0.3%–1.9%) in Sudan and 1.9 (95%CI: 1.4%–2.6%) in Yemen. It was also 1.5% (95%CI: 1.0%–2.2%) in this MENA subregion as a whole (<xref ref-type="table" rid="pone.0149966.t003">Table 3</xref>). The corresponding prediction intervals were 0.0%-4.3% in Somalia, 0.0%-4.1% in Sudan, 0.1%-5.7% in Yemen, and 0.0%-7.0% in this MENA subregion as a whole (<xref ref-type="table" rid="pone.0149966.t003">Table 3</xref>). For the meta-analysis in Yemen, we excluded one study presenting HCV prevalence in a migrant non-Yemeni population [<xref rid="pone.0149966.ref084" ref-type="bibr">84</xref>]. Since only one study was conducted in the general population in Djibouti, no meta-analysis was conducted in this country and the estimate in this study of 0.3% (95%CI: 0.1%-0.4%) was taken as the estimate for the national population-level HCV prevalence. The forest plots of the country-specific meta-analyses in the general population can be found in <xref ref-type="fig" rid="pone.0149966.g002">Fig 2</xref>.</p><table-wrap id="pone.0149966.t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0149966.t003</object-id><label>Table 3</label><caption><title>Pooled mean HCV prevalence and meta-analysis summary statistics by risk population in Djibouti, Somalia. Sudan and Yemen.</title></caption><alternatives><graphic id="pone.0149966.t003g" xlink:href="pone.0149966.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="center" rowspan="2" colspan="1"></th><th align="center" rowspan="2" colspan="1">Number of studies</th><th align="center" rowspan="2" colspan="1">Total sample size</th><th align="center" rowspan="2" colspan="1">Prevalence range (%)<xref ref-type="table-fn" rid="t003fn001">*</xref></th><th align="center" colspan="2" rowspan="1">Effect size</th><th align="center" colspan="3" rowspan="1">Heterogeneity</th></tr><tr><th align="center" rowspan="1" colspan="1">Mean prevalence (%)</th><th align="center" rowspan="1" colspan="1">Confidence interval (95%)</th><th align="center" rowspan="1" colspan="1">Q (<italic>p</italic>-value)</th><th align="center" rowspan="1" colspan="1">I<sup>2</sup> (confidence interval)</th><th align="center" rowspan="1" colspan="1">Prediction interval (95%)</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Djibouti</td><td align="center" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">High-risk groups</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Intermediate-risk groups</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Special clinical populations</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">General population</td><td align="center" rowspan="1" colspan="1">1</td><td align="center" rowspan="1" colspan="1">8,057</td><td align="center" rowspan="1" colspan="1">0.3</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">0.1–0.4</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Somalia</td><td align="center" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">High-risk groups</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">0</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Intermediate-risk groups</td><td align="center" rowspan="1" colspan="1">5</td><td align="center" rowspan="1" colspan="1">702</td><td align="center" rowspan="1" colspan="1">0.0–7.0</td><td align="char" char="." rowspan="1" colspan="1">1.7</td><td align="center" rowspan="1" colspan="1">0.0–4.9</td><td align="center" rowspan="1" colspan="1">17.3 (0.002)</td><td align="center" rowspan="1" colspan="1">77% (44%-90%)</td><td align="center" rowspan="1" colspan="1">0.0–18.2</td></tr><tr><td align="left" rowspan="1" colspan="1">Special clinical populations</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1">172</td><td align="center" rowspan="1" colspan="1">14.5–40.3</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">General population</td><td align="center" rowspan="1" colspan="1">9</td><td align="center" rowspan="1" colspan="1">14,081</td><td align="center" rowspan="1" colspan="1">0.0–6.5</td><td align="char" char="." rowspan="1" colspan="1">0.9</td><td align="center" rowspan="1" colspan="1">0.3–1.9</td><td align="center" rowspan="1" colspan="1">24.0 (0.002)</td><td align="center" rowspan="1" colspan="1">67% (32%-83%)</td><td align="center" rowspan="1" colspan="1">0.0–4.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Sudan</td><td align="center" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">High-risk groups</td><td align="center" rowspan="1" colspan="1">6</td><td align="center" rowspan="1" colspan="1">979</td><td align="center" rowspan="1" colspan="1">4.5–34.8</td><td align="char" char="." rowspan="1" colspan="1">17.3</td><td align="center" rowspan="1" colspan="1">8.6–28.2</td><td align="center" rowspan="1" colspan="1">74.6 (<0.0001)</td><td align="center" rowspan="1" colspan="1">93.3% (88%-96%)</td><td align="center" rowspan="1" colspan="1">0.0–60.9</td></tr><tr><td align="left" rowspan="1" colspan="1">Intermediate-risk groups</td><td align="center" rowspan="1" colspan="1">23</td><td align="center" rowspan="1" colspan="1">6,450</td><td align="center" rowspan="1" colspan="1">0.0–5.4</td><td align="char" char="." rowspan="1" colspan="1">0.6</td><td align="center" rowspan="1" colspan="1">0.4–0.8</td><td align="center" rowspan="1" colspan="1">103.5 (<0.0001)</td><td align="center" rowspan="1" colspan="1">79% (69%-86%)</td><td align="center" rowspan="1" colspan="1">0.0–4.3</td></tr><tr><td align="left" rowspan="1" colspan="1">Special clinical populations</td><td align="center" rowspan="1" colspan="1">2</td><td align="center" rowspan="1" colspan="1">131</td><td align="center" rowspan="1" colspan="1">6.3–11.0</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">General population</td><td align="center" rowspan="1" colspan="1">7</td><td align="center" rowspan="1" colspan="1">1,856</td><td align="center" rowspan="1" colspan="1">0.0–4.1</td><td align="char" char="." rowspan="1" colspan="1">1.0</td><td align="center" rowspan="1" colspan="1">0.3–1.9</td><td align="center" rowspan="1" colspan="1">12.9 (0.045)</td><td align="center" rowspan="1" colspan="1">53% (0%-80%)</td><td align="center" rowspan="1" colspan="1">0.0–4.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Yemen</td><td align="center" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">High-risk groups</td><td align="center" rowspan="1" colspan="1">3</td><td align="center" rowspan="1" colspan="1">300</td><td align="center" rowspan="1" colspan="1">40.0–62.7</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Intermediate-risk groups</td><td align="center" rowspan="1" colspan="1">3</td><td align="center" rowspan="1" colspan="1">1,322</td><td align="center" rowspan="1" colspan="1">0.5–3.5</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Special clinical populations</td><td align="center" rowspan="1" colspan="1">13</td><td align="center" rowspan="1" colspan="1">2,832</td><td align="center" rowspan="1" colspan="1">6.4–38.2</td><td align="char" char="." rowspan="1" colspan="1">19.4</td><td align="center" rowspan="1" colspan="1">13.0–26.6</td><td align="center" rowspan="1" colspan="1">231.8 (<0.001)</td><td align="center" rowspan="1" colspan="1">95% (93%-96%)</td><td align="center" rowspan="1" colspan="1">0.9–51.8</td></tr><tr><td align="left" rowspan="1" colspan="1">General population<xref ref-type="table-fn" rid="t003fn001">*</xref></td><td align="center" rowspan="1" colspan="1">24</td><td align="center" rowspan="1" colspan="1">48,343</td><td align="center" rowspan="1" colspan="1">0.0–8.5</td><td align="char" char="." rowspan="1" colspan="1">1.9</td><td align="center" rowspan="1" colspan="1">1.4–2.6</td><td align="center" rowspan="1" colspan="1">345.3 (<0.001)</td><td align="center" rowspan="1" colspan="1">93% (91%-96%)</td><td align="center" rowspan="1" colspan="1">0.1–5.7</td></tr><tr><td align="left" rowspan="1" colspan="1">All countries</td><td align="center" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">High-risk groups</td><td align="center" rowspan="1" colspan="1">9</td><td align="center" rowspan="1" colspan="1">1,279</td><td align="center" rowspan="1" colspan="1">4.5–62.7</td><td align="char" char="." rowspan="1" colspan="1">26.2</td><td align="center" rowspan="1" colspan="1">14.8–39.4</td><td align="center" rowspan="1" colspan="1">188.3 (<0.0001)</td><td align="center" rowspan="1" colspan="1">95% (94%-97%)</td><td align="center" rowspan="1" colspan="1">0.0–76.1</td></tr><tr><td align="left" rowspan="1" colspan="1">Intermediate-risk groups</td><td align="center" rowspan="1" colspan="1">31</td><td align="center" rowspan="1" colspan="1">8,474</td><td align="center" rowspan="1" colspan="1">0.0–7.0</td><td align="char" char="." rowspan="1" colspan="1">0.7</td><td align="center" rowspan="1" colspan="1">0.3–1.3</td><td align="center" rowspan="1" colspan="1">139.5 (<0.001)</td><td align="center" rowspan="1" colspan="1">79% (71%-85%)</td><td align="center" rowspan="1" colspan="1">0.0–4.7</td></tr><tr><td align="left" rowspan="1" colspan="1">Special clinical populations</td><td align="center" rowspan="1" colspan="1">17</td><td align="center" rowspan="1" colspan="1">3,135</td><td align="center" rowspan="1" colspan="1">6.4–38.2</td><td align="char" char="." rowspan="1" colspan="1">19.6</td><td align="center" rowspan="1" colspan="1">13.9–26.0</td><td align="center" rowspan="1" colspan="1">253.0 (<0.001)</td><td align="center" rowspan="1" colspan="1">94% (92%-96%)</td><td align="center" rowspan="1" colspan="1">1.4–50.2</td></tr><tr><td align="left" rowspan="1" colspan="1">General population<xref ref-type="table-fn" rid="t003fn001">*</xref></td><td align="center" rowspan="1" colspan="1">41</td><td align="center" rowspan="1" colspan="1">72,337</td><td align="center" rowspan="1" colspan="1">0.0–8.5</td><td align="char" char="." rowspan="1" colspan="1">1.5</td><td align="center" rowspan="1" colspan="1">1.0–2.2</td><td align="center" rowspan="1" colspan="1">1147.9 (<0.001)</td><td align="center" rowspan="1" colspan="1">96% (96%-97%)</td><td align="center" rowspan="1" colspan="1">0.0–7.0</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t003fn001"><p>*In the general population of Yemen, one study was not included in the meta-analysis as it reported HCV prevalence in a migrant non-Yemeni population.</p></fn></table-wrap-foot></table-wrap><fig id="pone.0149966.g002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0149966.g002</object-id><label>Fig 2</label><caption><title>Forest plots presenting the outcomes of the meta-analyses of HCV prevalence studies in the general population in Somalia, Sudan and Yemen.</title></caption><graphic xlink:href="pone.0149966.g002"></graphic></fig><p>Since the number of studies was less than five in some of the risk categories, meta-analyses were not conducted for all risk categories of all countries. Meta-analyses showed a high mean estimate of HCV prevalence in high-risk populations in Sudan at 14.3% (95%CI: 6.2%-24.9%), and in special clinical populations in Yemen at 19.4% (95%CI: 13.9%-26.0%) (<xref ref-type="table" rid="pone.0149966.t003">Table 3</xref> and <xref ref-type="supplementary-material" rid="pone.0149966.s001">S1 Fig</xref>). However, the mean estimates of HCV prevalence were low in intermediate-risk populations in Somalia and Sudan, at 1.7% (95%CI: 0.0%-4.9%) and 0.6%, (95%CI: 0.2%-1.1%), respectively (<xref ref-type="table" rid="pone.0149966.t003">Table 3</xref> and <xref ref-type="supplementary-material" rid="pone.0149966.s001">S1 Fig</xref>).</p><p>There was significant evidence for heterogeneity in effect size in all meta-analyses (Q-test <italic>p</italic>-value <0.10) (<xref ref-type="fig" rid="pone.0149966.g002">Fig 2</xref> and <xref ref-type="table" rid="pone.0149966.t003">Table 3</xref>). I<sup>2</sup> heterogeneity measure was high in most meta-analyses, and often exceeded 90%, indicating that most of the variation was attributed to variation in effect size across studies rather than chance. The estimated prediction intervals for the pooled means in most analyses were wide suggesting heterogeneity with substantial variation in effect size across individual studies.</p></sec><sec id="sec021"><title>Meta-regression</title><p>In the multivariable model adjusting for country, subpopulation within the low risk population, study design, study site, and study precision, the meta-regression did not identify any statistically significant prevalence-modifiable factors apart from country. Both Somalia and Sudan had statistically significantly lower HCV prevalence than Yemen. Relative to Yemen, the prevalence in Somalia was lower with an odds ratio (OR) = 0.44; 95%CI: 0.20–0.96; <italic>p</italic>-value = 0.040. Also relative to Yemen, the prevalence in Sudan was lower with an OR of = 0.39; 95%CI: 0.19–0.82; <italic>p</italic>-value = 0.015. Since there was only one prevalence measure for Djibouti, there was not sufficient statistical power to assess the effect size of this country relative to Yemen.</p></sec><sec id="sec022"><title>Sensitivity analyses</title><p>A substantial fraction of HCV prevalence studies contributing to the estimates for the national population-level HCV prevalence were among blood donors (41%). The pooled estimates for the national population-level HCV prevalence, after excluding blood donor data, were 0.9% (95%CI: 0.3%–1.9%) in Somalia, 1.0% (95%CI: 0.3%–1.9%) in Sudan and 1.9% (95%CI: 1.4%–2.6%) in Yemen. There was significant evidence for heterogeneity in effect size in Yemen (p-value <0.001); but the evidence was not significant for Somalia and Sudan.</p><p>The pooled estimate in Yemen for the national population-level HCV prevalence, after excluding studies with a sample size lower than 1,000 and published before 2000, was 2.4% (95%CI: 1.6%–3.3%). There was also significant evidence for heterogeneity in effect size (p-value <0.001). This sensitivity analysis was not conducted for Somalia and Sudan. In Somalia, only one study had a sample size greater than 1,000 and was published after 2000 [<xref rid="pone.0149966.ref049" ref-type="bibr">49</xref>]. In Sudan, all studies were published after 2000, but none of them had a sample size greater than 1,000.</p></sec><sec id="sec023"><title>Risk of bias and quality assessment of HCV prevalence studies</title><p>This systematic review included only studies in which HCV infection was ascertained using biological assays. This implies that all the included studies have at least one assessment domain at low ROB (<xref ref-type="supplementary-material" rid="pone.0149966.s004">S3</xref> and <xref ref-type="supplementary-material" rid="pone.0149966.s005">S4</xref> Tables). In the two other assessment domains, proportion of studies with low ROB was 23% for the sampling methodology and 50% for the response rate. Overall, 100% of studies had at least one assessment domain at low ROB, 51% of the studies had at least two assessment domains at low ROB, and 21% of studies had the three assessment domains at low ROB. Meanwhile, 74% of studies had high ROB in at least one assessment domain, 8% of studies had high ROB in at least two assessment domains, and none of the studies had high ROB in all three assessment domains. In terms of precision of estimates, 78% of studies had good precision (<xref ref-type="supplementary-material" rid="pone.0149966.s004">S3</xref> and <xref ref-type="supplementary-material" rid="pone.0149966.s005">S4</xref> Tables).</p></sec><sec id="sec024"><title>HCV genotypes</title><p>This systematic review identified only one and small study describing HCV genotypes [<xref rid="pone.0149966.ref051" ref-type="bibr">51</xref>]. HCV genotype 4 (subtypes e and c/d) was detected in four RNA positive patients out of eight HCV antibody positive cases. These individuals were from a cohort of patients with hepatosplenic schistosomiasis in Khartoum, Sudan.</p></sec><sec id="sec025"><title>Risk factors for HCV infection</title><p>Crude (unadjusted) and adjusted risk factors for HCV infection were reported in some of included studies. Multivariable analysis was conducted in only a fraction of studies that reported risk factors. The reported unadjusted risk factors included duration of dialysis [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>–<xref rid="pone.0149966.ref056" ref-type="bibr">56</xref>]; history of surgical procedures [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>, <xref rid="pone.0149966.ref075" ref-type="bibr">75</xref>, <xref rid="pone.0149966.ref085" ref-type="bibr">85</xref>, <xref rid="pone.0149966.ref086" ref-type="bibr">86</xref>], blood transfusion [<xref rid="pone.0149966.ref075" ref-type="bibr">75</xref>, <xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>, <xref rid="pone.0149966.ref085" ref-type="bibr">85</xref>], renal transplantation [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>, <xref rid="pone.0149966.ref065" ref-type="bibr">65</xref>], invasive procedures [<xref rid="pone.0149966.ref075" ref-type="bibr">75</xref>], travel abroad [<xref rid="pone.0149966.ref075" ref-type="bibr">75</xref>], blood donation [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>] or jaundice [<xref rid="pone.0149966.ref047" ref-type="bibr">47</xref>]; age [<xref rid="pone.0149966.ref054" ref-type="bibr">54</xref>, <xref rid="pone.0149966.ref093" ref-type="bibr">93</xref>]; education level [<xref rid="pone.0149966.ref085" ref-type="bibr">85</xref>, <xref rid="pone.0149966.ref093" ref-type="bibr">93</xref>]; gender [<xref rid="pone.0149966.ref078" ref-type="bibr">78</xref>]; use of khat [<xref rid="pone.0149966.ref047" ref-type="bibr">47</xref>]; level of aminotransferases and alfa-fetoprotein [<xref rid="pone.0149966.ref047" ref-type="bibr">47</xref>] and low parity [<xref rid="pone.0149966.ref085" ref-type="bibr">85</xref>]. The reported adjusted risk factors (after adjustment for confounders) included duration of dialysis [<xref rid="pone.0149966.ref055" ref-type="bibr">55</xref>] and history of blood transfusion [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>], blood donation [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>] and surgery [<xref rid="pone.0149966.ref086" ref-type="bibr">86</xref>]. Furthermore, HCV infection was significantly associated with HCC [<xref rid="pone.0149966.ref061" ref-type="bibr">61</xref>] and CLD [<xref rid="pone.0149966.ref080" ref-type="bibr">80</xref>] in unadjusted analyses and with NHL [<xref rid="pone.0149966.ref078" ref-type="bibr">78</xref>] in an adjusted analysis.</p></sec></sec><sec sec-type="conclusions" id="sec026"><title>Discussion</title><p>Building on a developed and refined methodology [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>–<xref rid="pone.0149966.ref009" ref-type="bibr">9</xref>, <xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>], we conducted a systematic review and synthesis of HCV prevalence and its epidemiology in Djibouti, Somalia, Sudan, and Yemen. We also presented estimates for the national population-level HCV prevalence and for the prevalence among various at risk categories. The results suggest that national population-level HCV prevalence is at about 1% in Somalia, Sudan, and probably Djibouti, but seems twice as high in Yemen at about 2%. High prevalence estimates were identified in these countries among clinical populations at high risk of infection such as HD and haemophilia patients. Notably, we could not identify any study among PWID in this subregion, a key population at high risk of HCV exposure.</p><p>HCV prevalence at the national level in these countries is broadly consistent with the levels observed globally [<xref rid="pone.0149966.ref003" ref-type="bibr">3</xref>, <xref rid="pone.0149966.ref004" ref-type="bibr">4</xref>] and in the MENA region [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]. Our estimates nonetheless contrast with earlier work that suggested higher prevalence in these countries [<xref rid="pone.0149966.ref094" ref-type="bibr">94</xref>, <xref rid="pone.0149966.ref095" ref-type="bibr">95</xref>]. The estimated infection levels are also substantially lower than those found in Egypt at 14.7% [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref096" ref-type="bibr">96</xref>] and in Pakistan at 4.7% [<xref rid="pone.0149966.ref097" ref-type="bibr">97</xref>, <xref rid="pone.0149966.ref098" ref-type="bibr">98</xref>]; the two countries with the highest HCV prevalence in MENA. Yemen appears however to have the third highest HCV prevalence in MENA based on the completed and ongoing analyses of the MENA HCV Epidemiology Synthesis Project [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>]. This highlights the need to improve our understanding of the epidemiology of HCV in this country, a populous country of 27 million people [<xref rid="pone.0149966.ref099" ref-type="bibr">99</xref>] and ongoing military conflict.</p><p>A substantial fraction of HCV prevalence studies in the general population were among blood donors. This population category is biased towards healthy populations and may not necessarily be representative of the wider general population. Accordingly our estimates for HCV prevalence in the general population could underestimate actual prevalence [<xref rid="pone.0149966.ref100" ref-type="bibr">100</xref>, <xref rid="pone.0149966.ref101" ref-type="bibr">101</xref>]. HCV prevalence could in principle be declining due to population growth combined with a reduction in exposure following the global introduction in the 1990s of more stringent blood screening and infection control protocols. We conducted two sensitivity analyses to examine the impact of excluding blood donors studies and older than 2000 studies on our estimates. The sensitivity analyses indicated a small impact on our estimates for Somalia and Sudan, but suggested that we may be underestimating HCV prevalence in Yemen. Estimated HCV prevalence in Yemen increased from 1.9% in our baseline analysis to 2.8% and 2.4% in the two sensitivity analyses, respectively. These analyses in addition to the meta-regression, therefore affirmed that national population-level HCV prevalence in this subregion of MENA is comparable to global levels, but that Yemen appears to have the third highest HCV prevalence in MENA.</p><p>A recent global study by Gower <italic>et al</italic>. has produced an estimate for HCV prevalence in Yemen, but no estimates for HCV prevalence in the other countries of this subregion. The reported estimate by Gower <italic>et al</italic>. is similar to ours (2.2% vs. 1.9%, respectively), however, Gower <italic>et al</italic>. estimate was based on a single study, whereas ours was based on 24 studies [<xref rid="pone.0149966.ref068" ref-type="bibr">68</xref>, <xref rid="pone.0149966.ref070" ref-type="bibr">70</xref>, <xref rid="pone.0149966.ref073" ref-type="bibr">73</xref>, <xref rid="pone.0149966.ref076" ref-type="bibr">76</xref>, <xref rid="pone.0149966.ref079" ref-type="bibr">79</xref>, <xref rid="pone.0149966.ref080" ref-type="bibr">80</xref>, <xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>–<xref rid="pone.0149966.ref093" ref-type="bibr">93</xref>]. The expanded search in our review has allowed us to identify HCV measures published in non-indexed journals and country-level reports. These studies may not have been recognized since they could not be identified using conventional international search engines such as PubMed or Embase. For the same reasons, our study has also identified substantially more HCV data in Somalia and Sudan than recent systematic reviews of HCV prevalence in sub-Saharan Africa [<xref rid="pone.0149966.ref004" ref-type="bibr">4</xref>, <xref rid="pone.0149966.ref102" ref-type="bibr">102</xref>–<xref rid="pone.0149966.ref104" ref-type="bibr">104</xref>].</p><p>Our results suggest ongoing HCV transmission in clinical settings in Djibouti, Somalia, Sudan, and Yemen. This is indicated by the high HCV prevalence in high risk and special clinical populations, regardless of the year of study. Ongoing transmission in clinical settings was also indicated by the significant association between HCV infection and healthcare procedures such as dialysis [<xref rid="pone.0149966.ref055" ref-type="bibr">55</xref>], blood transfusion [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>], blood donation [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>] and surgery [<xref rid="pone.0149966.ref086" ref-type="bibr">86</xref>]. Ongoing transmission in clinical settings was also suggested by the higher HCV prevalence in intermediate-risk populations, such as hospitalized adults and children and HCWs.</p><p>Community transmissions of HCV infection appear to occur in the south-west region of the Arabian Peninsula [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>, <xref rid="pone.0149966.ref105" ref-type="bibr">105</xref>]. In the south-west region of the Kingdom of Saudi Arabia (KSA), the bordering region of Yemen, HCV transmission was linked to traditional phlebotomy (cupping with blood-letting, known in the Arab world as <italic>hijama</italic>) [<xref rid="pone.0149966.ref105" ref-type="bibr">105</xref>]. The south-west region of KSA presented similar HCV prevalence levels with Yemen and the highest HCV prevalence compared with the other regions in KSA [<xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>]. In Yemen, cupping was significantly associated with increased odds of hepatitis B [<xref rid="pone.0149966.ref083" ref-type="bibr">83</xref>], another blood borne virus sharing transmission routes with HCV through infected blood and needles [<xref rid="pone.0149966.ref106" ref-type="bibr">106</xref>, <xref rid="pone.0149966.ref107" ref-type="bibr">107</xref>]. As it was observed in Egypt [<xref rid="pone.0149966.ref108" ref-type="bibr">108</xref>] and in Japan [<xref rid="pone.0149966.ref109" ref-type="bibr">109</xref>], folk remedies such as traditional phlebotomy using non-sterilized knives should be considered as possible HCV transmission routes potentially explaining the higher HCV prevalence in Yemen and more broadly in the south-west region of the Arabian Peninsula.</p><p>PWID [<xref rid="pone.0149966.ref110" ref-type="bibr">110</xref>–<xref rid="pone.0149966.ref112" ref-type="bibr">112</xref>], prisoners [<xref rid="pone.0149966.ref113" ref-type="bibr">113</xref>] and HIV infected MSM [<xref rid="pone.0149966.ref114" ref-type="bibr">114</xref>] are key contributors to HCV transmission dynamics in both developed and developing countries [<xref rid="pone.0149966.ref113" ref-type="bibr">113</xref>, <xref rid="pone.0149966.ref115" ref-type="bibr">115</xref>]. We could not identify any study of HCV prevalence among PWID, prisoners, or HIV infected MSM; a major shortcoming of the epidemiological evidence in this subregion. The estimated population proportion of injecting drug use is 0.03% in Somalia, 0.20% in Sudan, and 0.23% in Yemen [<xref rid="pone.0149966.ref116" ref-type="bibr">116</xref>]. The population proportion of injecting drug use in MENA is in the intermediate range compared to global levels at 0.24% [<xref rid="pone.0149966.ref113" ref-type="bibr">113</xref>]. The population proportion of MSM in MENA seems to be consistent with reported global levels of 2%–3% [<xref rid="pone.0149966.ref117" ref-type="bibr">117</xref>]. Substantial HIV prevalence has already been identified among MSM in MENA such as in Sudan where HIV prevalence was estimated in different studies at 8–9% [<xref rid="pone.0149966.ref117" ref-type="bibr">117</xref>]. Prison population rates were 83, 13.3, 32.5, 56, and 55 per 100,000 of national populations in Djibouti, Somalia, South Sudan, Sudan, and Yemen in 2013 [<xref rid="pone.0149966.ref118" ref-type="bibr">118</xref>]. These estimates suggest the potential existence of large and hidden high risk populations where the level of infection is unknown, but probably substantial given HCV prevalence levels in these high risk populations in other MENA countries [<xref rid="pone.0149966.ref113" ref-type="bibr">113</xref>, <xref rid="pone.0149966.ref115" ref-type="bibr">115</xref>, <xref rid="pone.0149966.ref118" ref-type="bibr">118</xref>, <xref rid="pone.0149966.ref119" ref-type="bibr">119</xref>] and globally [<xref rid="pone.0149966.ref114" ref-type="bibr">114</xref>, <xref rid="pone.0149966.ref116" ref-type="bibr">116</xref>, <xref rid="pone.0149966.ref120" ref-type="bibr">120</xref>]. This lack of evidence for PWID, prisoners, and HIV infected MSM makes it difficult to assess the relative importance of these key risk groups as contributors to HCV transmission dynamics in this subregion.</p><p>As discussed in details previously [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>–<xref rid="pone.0149966.ref014" ref-type="bibr">14</xref>], among the limitations of such systematic review and meta-analyses is the variability in quantity and quality of studies across countries. For instance, only one study was identified for Djibouti, while 44 studies were identified for Yemen. The pooled mean HCV prevalence estimates may have been also affected by selection bias or investigator bias in included studies. The meta-analyses confirmed considerable heterogeneity in effect size across studies, but the sources of variation remain poorly understood. Given the possibility that this heterogeneity may reflect non-random biases, the prediction intervals calculated for each risk population category (<xref ref-type="table" rid="pone.0149966.t003">Table 3</xref>) may provide a more interpretable summary of the variation in effect size and potential true population mean. We classified the populations into different risk categories based on convention in the literature; however, there is no established existing classification of risk for some populations [<xref rid="pone.0149966.ref012" ref-type="bibr">12</xref>]. We classified these based on our best judgment of HCV risk of exposure.</p></sec><sec sec-type="conclusions" id="sec027"><title>Conclusions</title><p>The national population-level HCV prevalence is at about 1% in Somalia, Sudan, and probably Djibouti, and is comparable to most countries in MENA and globally. However, HCV prevalence in Yemen appears to be at a higher level, at about 2%, making Yemen the country with the third highest HCV prevalence in MENA based on the MENA HCV Epidemiology Synthesis Project analyses [<xref rid="pone.0149966.ref007" ref-type="bibr">7</xref>, <xref rid="pone.0149966.ref010" ref-type="bibr">10</xref>–<xref rid="pone.0149966.ref013" ref-type="bibr">13</xref>, <xref rid="pone.0149966.ref121" ref-type="bibr">121</xref>]. The high HCV prevalence found among different clinical populations suggests ongoing HCV transmission in clinical settings. This points out the need to implement strict measures to prevent HCV transmission such as improved injection safety and properly screened blood transfusions [<xref rid="pone.0149966.ref122" ref-type="bibr">122</xref>, <xref rid="pone.0149966.ref123" ref-type="bibr">123</xref>]. Establishment of HCV treatment programs should also be explored given the increasing availability and affordability of the new antiviral treatments and generics to cure HCV infection [<xref rid="pone.0149966.ref124" ref-type="bibr">124</xref>–<xref rid="pone.0149966.ref126" ref-type="bibr">126</xref>].</p><p>Strikingly, we could not identify any study among PWID, prisoners or HIV infected MSM, a major shortcoming of the epidemiological evidence in this subregion. The contributions of these populations to HCV incidence and prevalence remain unknown. An improved understanding of the epidemiology of HCV infection in this subregion is warranted; this resource-limited subregion remains the least studied subregion in MENA. Improved understanding can be achieved by conducting representative surveys among at risk populations as well as nationally-representative population-based surveys to estimate infection and disease occurrence, geographic variability, modes of exposure, and HCV knowledge and attitudes, as has been done recently in other MENA countries such as Egypt [<xref rid="pone.0149966.ref006" ref-type="bibr">6</xref>, <xref rid="pone.0149966.ref127" ref-type="bibr">127</xref>–<xref rid="pone.0149966.ref131" ref-type="bibr">131</xref>].</p></sec><sec sec-type="supplementary-material" id="sec028"><title>Supporting Information</title><supplementary-material content-type="local-data" id="pone.0149966.s001"><label>S1 Fig</label><caption><title>Forest plots presenting the outcomes of the meta-analyses of HCV prevalence studies among intermediate risk groups in Somalia and Sudan, special clinical populations groups in Yemen, and high risk groups in Sudan.</title><p>(TIF)</p></caption><media xlink:href="pone.0149966.s001.tif"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0149966.s002"><label>S1 Table</label><caption><title>PRISMA 2009 Checklist.</title><p>(PDF)</p></caption><media xlink:href="pone.0149966.s002.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0149966.s003"><label>S2 Table</label><caption><title>Search criteria for the systematic review of HCV antibody prevalence in Djibouti, Somalia, Sudan, and Yemen.</title><p>(PDF)</p></caption><media xlink:href="pone.0149966.s003.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0149966.s004"><label>S3 Table</label><caption><title>Study-level assessment of precision and risk of bias in HCV antibody prevalence measures, as extracted from eligible reports.</title><p>(PDF)</p></caption><media xlink:href="pone.0149966.s004.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material><supplementary-material content-type="local-data" id="pone.0149966.s005"><label>S4 Table</label><caption><title>Summary of study-level assessment of precision and risk of bias in HCV antibody prevalence measures, as extracted from eligible reports.</title><p>(PDF)</p></caption><media xlink:href="pone.0149966.s005.pdf"><caption><p>Click here for additional data file.</p></caption></media></supplementary-material></sec></body><back><ack><p>This publication was made possible by NPRP grant number 4-924-3-251 from the Qatar National Research Fund (a member of Qatar Foundation). Additional support was provided by the Biostatistics, Epidemiology, and Biomathematics Research Core at the Weill Cornell Medical College in Qatar. The statements made herein are solely the responsibility of the authors. The funders had no role in the design, conduct, or analysis of the study. We would like to thank Dr. Guido Schwarzer for his technical assistance and insights.</p></ack><glossary><title>Abbreviations</title><def-list><def-item><term>95%CI</term><def><p>95% confidence interval</p></def></def-item><def-item><term>CLD</term><def><p>chronic liver disease</p></def></def-item><def-item><term>EMRO</term><def><p>WHO Regional Office for the Eastern Mediterranean</p></def></def-item><def-item><term>FSW</term><def><p>female sex workers</p></def></def-item><def-item><term>HCC</term><def><p>hepatocellular carcinoma</p></def></def-item><def-item><term>HCV</term><def><p>hepatitis C virus</p></def></def-item><def-item><term>HCWs</term><def><p>healthcare workers</p></def></def-item><def-item><term>HD</term><def><p>haemodialysis</p></def></def-item><def-item><term>IAS</term><def><p>International AIDS Society</p></def></def-item><def-item><term>IBBS</term><def><p>integrated bio-behavioural HIV surveillance surveys</p></def></def-item><def-item><term>KSA</term><def><p>Kingdom of Saudi Arabia</p></def></def-item><def-item><term>MENA</term><def><p>Middle East and North Africa</p></def></def-item><def-item><term>MSM</term><def><p>men who have sex with men</p></def></def-item><def-item><term>n</term><def><p>number of studies</p></def></def-item><def-item><term>NHL</term><def><p>non-Hodgkin lymphoma</p></def></def-item><def-item><term>OR</term><def><p>odds ratio</p></def></def-item><def-item><term>PRISMA</term><def><p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</p></def></def-item><def-item><term><italic>p</italic>-value</term><def><p>probability value</p></def></def-item><def-item><term>PWID</term><def><p>people who inject drugs</p></def></def-item><def-item><term>ROB</term><def><p>risk of bias</p></def></def-item><def-item><term>SI</term><def><p>supporting information</p></def></def-item><def-item><term>SOS institution</term><def><p>Société Organisation Sociale institution</p></def></def-item><def-item><term>STD</term><def><p>sexually transmitted disease</p></def></def-item><def-item><term>UNAIDS</term><def><p>the Joint United Nations Programme on HIV/AIDS</p></def></def-item><def-item><term>WHO</term><def><p>World Health Organization</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="pone.0149966.ref001"><label>1</label><mixed-citation publication-type="journal"><name><surname>Frank</surname><given-names>C</given-names></name>, <name><surname>Mohamed</surname><given-names>MK</given-names></name>, <name><surname>Strickland</surname><given-names>GT</given-names></name>, <name><surname>Lavanchy</surname><given-names>D</given-names></name>, <name><surname>Arthur</surname><given-names>RR</given-names></name>, <name><surname>Magder</surname><given-names>LS</given-names></name>, <etal>et al</etal><article-title>The role of parenteral antischistosomal therapy in the spread of hepatitis C virus in Egypt</article-title>. <source>Lancet (London, England)</source>. <year>2000</year>;<volume>355</volume>(<issue>9207</issue>):<fpage>887</fpage>–<lpage>91</lpage>. 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