Short Communication: Prioritizing Communities for HIV Prevention in sub-Saharan Africa
Identifieur interne : 001511 ( Pmc/Corpus ); précédent : 001510; suivant : 001512Short Communication: Prioritizing Communities for HIV Prevention in sub-Saharan Africa
Auteurs : Till B Rnighausen ; Frank Tanser ; Timothy Hallett ; Marie-Louise NewellSource :
- AIDS Research and Human Retroviruses [ 0889-2229 ] ; 2010.
Abstract
HIV prevalence is the most commonly used measure to prioritize communities for HIV prevention. We show that data on two HIV infection stages (early vs. nonearly and late vs. nonlate) allow estimation of two better measures of prevention need: HIV incidence (for prevention of HIV acquisition) and expected probability of HIV transmission in unprotected sex acts between HIV-infected community members and susceptible individuals (for prevention of HIV transmission). The three ranking schemes—by prevalence, incidence, and transmission probability—lead to significantly different community rank orders. Disease stage information should be collected in HIV surveys.
Url:
DOI: 10.1089/aid.2009.0236
PubMed: 20377420
PubMed Central: 2864052
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PMC:2864052Le document en format XML
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<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<p>HIV prevalence is the most commonly used measure to prioritize communities for HIV prevention. We show that data on two HIV infection stages (early vs. nonearly and late vs. nonlate) allow estimation of two better measures of prevention need: HIV incidence (for prevention of HIV acquisition) and expected probability of HIV transmission in unprotected sex acts between HIV-infected community members and susceptible individuals (for prevention of HIV transmission). The three ranking schemes—by prevalence, incidence, and transmission probability—lead to significantly different community rank orders. Disease stage information should be collected in HIV surveys.</p>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">AIDS Res Hum Retroviruses</journal-id>
<journal-id journal-id-type="publisher-id">aid</journal-id>
<journal-title-group><journal-title>AIDS Research and Human Retroviruses</journal-title>
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<issn pub-type="ppub">0889-2229</issn>
<issn pub-type="epub">1931-8405</issn>
<publisher><publisher-name>Mary Ann Liebert, Inc.</publisher-name>
<publisher-loc>140 Huguenot Street, 3rd FloorNew Rochelle, NY 10801USA</publisher-loc>
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<article-id pub-id-type="publisher-id">10.1089/aid.2009.0236</article-id>
<article-id pub-id-type="doi">10.1089/aid.2009.0236</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Epidemiology</subject>
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<title-group><article-title>Short Communication: Prioritizing Communities for HIV Prevention in sub-Saharan Africa</article-title>
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<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Bärnighausen</surname>
<given-names>Till</given-names>
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<xref ref-type="aff" rid="aff1"><sup>1,</sup>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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<contrib contrib-type="author"><name><surname>Tanser</surname>
<given-names>Frank</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2</sup>
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<contrib contrib-type="author"><name><surname>Hallett</surname>
<given-names>Timothy</given-names>
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<xref ref-type="aff" rid="aff3"><sup>3</sup>
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<contrib contrib-type="author"><name><surname>Newell</surname>
<given-names>Marie-Louise</given-names>
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<xref ref-type="aff" rid="aff2"><sup>2,</sup>
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<xref ref-type="aff" rid="aff3"><sup>3</sup>
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<aff id="aff1"><label><sup>1</sup>
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Department of Global Health and Population,<institution>Harvard School of Public Health</institution>
, Boston, Massachusetts.</aff>
<aff id="aff2"><label><sup>2</sup>
</label>
Africa Centre for Health and Population Studies,<institution>University of KwaZulu-Natal</institution>
, KwaZulu-Natal,<country>South Africa</country>
.</aff>
<aff id="aff3"><label><sup>3</sup>
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Department of Infectious Disease Epidemiology,<institution>Imperial College</institution>
, London,<country>UK</country>
.</aff>
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<author-notes><corresp>Address correspondence to: <italic>Till Bärnighausen, Africa Centre for Health and Population Studies, University of KwaZulu-Natal, 3935 Mtubatuba, KwaZulu-Natal, South Africa. E-mail:</italic>
<email xlink:href="mailto:tbarnighausen@africacentre.ac.za">tbarnighausen@africacentre.ac.za</email>
</corresp>
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<pub-date pub-type="ppub"><month>4</month>
<year>2010</year>
<pmc-comment>string-date: April 2010</pmc-comment>
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<volume>26</volume>
<issue>4</issue>
<fpage>401</fpage>
<lpage>405</lpage>
<permissions><copyright-statement>Copyright 2010, Mary Ann Liebert, Inc.</copyright-statement>
<copyright-year>2010</copyright-year>
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<self-uri xlink:type="simple" xlink:href="aid.2009.0236.pdf"></self-uri>
<abstract><title>Abstract</title>
<p>HIV prevalence is the most commonly used measure to prioritize communities for HIV prevention. We show that data on two HIV infection stages (early vs. nonearly and late vs. nonlate) allow estimation of two better measures of prevention need: HIV incidence (for prevention of HIV acquisition) and expected probability of HIV transmission in unprotected sex acts between HIV-infected community members and susceptible individuals (for prevention of HIV transmission). The three ranking schemes—by prevalence, incidence, and transmission probability—lead to significantly different community rank orders. Disease stage information should be collected in HIV surveys.</p>
</abstract>
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