UNAIDS 'multiple sexual partners' core indicator: promoting sexual networks to reduce potential biases.
Identifieur interne : 000729 ( PubMed/Curation ); précédent : 000728; suivant : 000730UNAIDS 'multiple sexual partners' core indicator: promoting sexual networks to reduce potential biases.
Auteurs : Zacharie Tsala Dimbuene [Colombie] ; Jacques B O. Emina [Luxembourg (pays)] ; Osman Sankoh [Viêt Nam]Source :
- Global health action [ 1654-9880 ] ; 2014.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- epidemiology : HIV Infections.
- methods : Population Surveillance.
- statistics & numerical data : Sexual Behavior.
- Bayes Theorem, Bias (Epidemiology), Female, Humans, Male, Risk Factors, Sexual Partners.
Abstract
UNAIDS proposed a set of core indicators for monitoring changes in the worldwide AIDS epidemic. This paper explores the validity and effectiveness of the 'multiple sexual partners' core indicator, which is only partially captured with current available data. The paper also suggests an innovative approach for collecting more informative data that can be used to provide an accurate measure of the UNAIDS's 'multiple sexual partners' core indicator. Specifically, the paper addresses three major limitations associated with the indicator when it is measured with respondents' sexual behaviors. First, the indicator assumes that a person's risk of contracting HIV/AIDS/STIs is merely a function of his/her own sexual behavior. Second, the indicator does not account for a partner's sexual history, which is very important in assessing an individual's risk level. Finally, the 12-month period used to define a person's risks can be misleading, especially because HIV/AIDS theoretically has a period of latency longer than a year. The paper concludes that, programmatically, improvements in data collection are a top priority for reducing the observed bias in the 'multiple sexual partners' core indicator.
PubMed: 24647127
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Emina</name><affiliation wicri:level="1"><nlm:affiliation>Faculté des sciences économiques et de gestion, Département des Sciences de la population et du développement, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo; INDEPTH-Network, East Legon, Accra, Ghana; CEPS/INSTEAD, University of Luxembourg, Walferdange, Luxembourg.</nlm:affiliation><country xml:lang="fr">Luxembourg (pays)</country><wicri:regionArea>Faculté des sciences économiques et de gestion, Département des Sciences de la population et du développement, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo; INDEPTH-Network, East Legon, Accra, Ghana; CEPS/INSTEAD, University of Luxembourg, Walferdange</wicri:regionArea></affiliation></author><author><name sortKey="Sankoh, Osman" sort="Sankoh, Osman" uniqKey="Sankoh O" first="Osman" last="Sankoh">Osman Sankoh</name><affiliation wicri:level="1"><nlm:affiliation>INDEPTH-Network, East Legon, Accra, Ghana; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Faculty of Public Health, Hanoi Medical University, Hanoi, Viet Nam.</nlm:affiliation><country xml:lang="fr">Viêt Nam</country><wicri:regionArea>INDEPTH-Network, East Legon, Accra, Ghana; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Faculty of Public Health, Hanoi Medical University, Hanoi</wicri:regionArea></affiliation></author></analytic><series><title level="j">Global health action</title><idno type="eISSN">1654-9880</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bayes Theorem</term><term>Bias (Epidemiology)</term><term>Female</term><term>HIV Infections (epidemiology)</term><term>Humans</term><term>Male</term><term>Population Surveillance (methods)</term><term>Risk Factors</term><term>Sexual Behavior (statistics & numerical data)</term><term>Sexual Partners</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biais (épidémiologie)</term><term>Comportement sexuel ()</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Infections à VIH (épidémiologie)</term><term>Mâle</term><term>Partenaire sexuel</term><term>Surveillance de la population ()</term><term>Théorème de Bayes</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Sexual Behavior</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Infections à VIH</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Bayes Theorem</term><term>Bias (Epidemiology)</term><term>Female</term><term>Humans</term><term>Male</term><term>Risk Factors</term><term>Sexual Partners</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biais (épidémiologie)</term><term>Comportement sexuel</term><term>Facteurs de risque</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Partenaire sexuel</term><term>Surveillance de la population</term><term>Théorème de Bayes</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">UNAIDS proposed a set of core indicators for monitoring changes in the worldwide AIDS epidemic. This paper explores the validity and effectiveness of the 'multiple sexual partners' core indicator, which is only partially captured with current available data. The paper also suggests an innovative approach for collecting more informative data that can be used to provide an accurate measure of the UNAIDS's 'multiple sexual partners' core indicator. Specifically, the paper addresses three major limitations associated with the indicator when it is measured with respondents' sexual behaviors. First, the indicator assumes that a person's risk of contracting HIV/AIDS/STIs is merely a function of his/her own sexual behavior. Second, the indicator does not account for a partner's sexual history, which is very important in assessing an individual's risk level. Finally, the 12-month period used to define a person's risks can be misleading, especially because HIV/AIDS theoretically has a period of latency longer than a year. The paper concludes that, programmatically, improvements in data collection are a top priority for reducing the observed bias in the 'multiple sexual partners' core indicator.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24647127</PMID><DateCreated><Year>2014</Year><Month>03</Month><Day>20</Day></DateCreated><DateCompleted><Year>2014</Year><Month>10</Month><Day>02</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>20</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1654-9880</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Global health action</Title><ISOAbbreviation>Glob Health Action</ISOAbbreviation></Journal><ArticleTitle>UNAIDS 'multiple sexual partners' core indicator: promoting sexual networks to reduce potential biases.</ArticleTitle><Pagination><MedlinePgn>23103</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3402/gha.v7.23103</ELocationID><Abstract><AbstractText>UNAIDS proposed a set of core indicators for monitoring changes in the worldwide AIDS epidemic. This paper explores the validity and effectiveness of the 'multiple sexual partners' core indicator, which is only partially captured with current available data. The paper also suggests an innovative approach for collecting more informative data that can be used to provide an accurate measure of the UNAIDS's 'multiple sexual partners' core indicator. Specifically, the paper addresses three major limitations associated with the indicator when it is measured with respondents' sexual behaviors. First, the indicator assumes that a person's risk of contracting HIV/AIDS/STIs is merely a function of his/her own sexual behavior. Second, the indicator does not account for a partner's sexual history, which is very important in assessing an individual's risk level. Finally, the 12-month period used to define a person's risks can be misleading, especially because HIV/AIDS theoretically has a period of latency longer than a year. The paper concludes that, programmatically, improvements in data collection are a top priority for reducing the observed bias in the 'multiple sexual partners' core indicator.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Dimbuene</LastName><ForeName>Zacharie Tsala</ForeName><Initials>ZT</Initials><AffiliationInfo><Affiliation>PRONUSTIC Research Laboratory, Department of Demography, University of Montreal, Montreal, Quebec, Canada; Faculté des sciences économiques et de gestion, Département des Sciences de la population et du développement, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo; Research Data Centre Program, Microdata Access Division, Statistics Canada, Ottawa, ON, Canada; Department of Sociology and Anthropology, University of Ottawa, Ottawa, ON, Canada; zacharie.tsala.dimbuene@gmail.com; ztsaladi@uottawa.ca.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Emina</LastName><ForeName>Jacques B O</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Faculté des sciences économiques et de gestion, Département des Sciences de la population et du développement, Université de Kinshasa, Kinshasa, Democratic Republic of the Congo; INDEPTH-Network, East Legon, Accra, Ghana; CEPS/INSTEAD, University of Luxembourg, Walferdange, Luxembourg.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sankoh</LastName><ForeName>Osman</ForeName><Initials>O</Initials><AffiliationInfo><Affiliation>INDEPTH-Network, East Legon, Accra, Ghana; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Faculty of Public Health, Hanoi Medical University, Hanoi, Viet Nam.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>03</Month><Day>11</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Glob Health Action</MedlineTA><NlmUniqueID>101496665</NlmUniqueID><ISSNLinking>1654-9880</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Soc Pediatr Nurs. 2000 Jan-Mar;5(1):15-25</RefSource><PMID Version="1">10743602</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Infect Dis. 1996 Oct;174 Suppl 2:S144-9</RefSource><PMID Version="1">8843244</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Fam Plann Perspect. 1997 Sep-Oct;29(5):215-21</RefSource><PMID Version="1">9323498</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J STD AIDS. 1999 Mar;10(3):182-5</RefSource><PMID Version="1">10340199</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sex Transm Infect. 2004 Dec;80 Suppl 2:ii13-21</RefSource><PMID Version="1">15572635</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sex Transm Infect. 2004 Dec;80 Suppl 2:ii28-35</RefSource><PMID Version="1">15572637</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMC Public Health. 2012;12:741</RefSource><PMID Version="1">22950896</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Theor Popul Biol. 2005 Feb;67(1):1-8</RefSource><PMID Version="1">15649519</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Int J STD AIDS. 2007 Nov;18(11):754-9</RefSource><PMID Version="1">18005509</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>AIDS. 2007 Nov 12;21(17):2323-32</RefSource><PMID Version="1">18090281</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>AIDS Behav. 2010 Feb;14(1):11-6; dicussion 34-7</RefSource><PMID Version="1">18648926</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>J Urban Health. 2011 Jun;88 Suppl 2:S200-18</RefSource><PMID Version="1">21713553</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Lancet. 2011 Jul 16;378(9787):247-55</RefSource><PMID Version="1">21763937</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Sex Transm Infect. 2004 Dec;80 Suppl 2:ii43-8</RefSource><PMID Version="1">15572639</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015982" MajorTopicYN="N">Bias (Epidemiology)</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012725" MajorTopicYN="N">Sexual Behavior</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012747" MajorTopicYN="Y">Sexual Partners</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC3955766</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">HIV/AIDS</Keyword><Keyword MajorTopicYN="N">health demographic and surveillance systems</Keyword><Keyword MajorTopicYN="N">risky sexual behavior</Keyword><Keyword MajorTopicYN="N">sexual networks</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>10</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2014</Year><Month>01</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>02</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>3</Month><Day>21</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>3</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>10</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24647127</ArticleId><ArticleId IdType="pii">23103</ArticleId><ArticleId IdType="pmc">PMC3955766</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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