Cohort Profile: The Likoma Network Study (LNS)
Identifieur interne : 001687 ( Pmc/Corpus ); précédent : 001686; suivant : 001688Cohort Profile: The Likoma Network Study (LNS)
Auteurs : Stéphane Helleringer ; James Mkandawire ; Linda Kalilani-Phiri ; Hans-Peter KohlerSource :
- International Journal of Epidemiology [ 0300-5771 ] ; 2013.
Abstract
The Likoma network study (LNS) investigates the sexual networks connecting the inhabitants of Likoma, a small island of Lake Malawi with high HIV prevalence. Whereas previous studies of sexual networks and HIV/AIDS in sub-Saharan countries have focused solely on the personal networks of a small number of respondents, the LNS attempts to document the sexual networks of the entire adult population of Likoma. To do so, it uses a unique sociocentric study design, in which all members of the local population are contacted for a survey interview and are asked to nominate their five most recent sexual partners. Using these data, quasi-complete ‘maps’ of the sexual networks connecting inhabitants of the island can be constructed. These maps allow investigation of the impact of networks on HIV epidemiology and can inform mathematical models of HIV prevention. In addition to data on sexual networks, the LNS data include information on the social networks (e.g. friendship), socioeconomic characteristics and HIV status of Likoma’s residents. Baseline data were collected in 2005–06. A first follow-up was conducted in 2007–08 and a second follow-up is planned for early 2013. Access to the LNS data is contingent upon review of a short concept paper and forming collaborations with LNS investigators.
Url:
DOI: 10.1093/ije/dyt001
PubMed: 23543589
PubMed Central: 3997370
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<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J Epidemiol</journal-id><journal-id journal-id-type="iso-abbrev">Int J Epidemiol</journal-id><journal-id journal-id-type="publisher-id">ije</journal-id><journal-id journal-id-type="hwp">intjepid</journal-id><journal-title-group><journal-title>International Journal of Epidemiology</journal-title></journal-title-group><issn pub-type="ppub">0300-5771</issn><issn pub-type="epub">1464-3685</issn><publisher><publisher-name>Oxford University Press</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">23543589</article-id><article-id pub-id-type="pmc">3997370</article-id><article-id pub-id-type="doi">10.1093/ije/dyt001</article-id><article-id pub-id-type="publisher-id">dyt001</article-id><article-categories><subj-group subj-group-type="heading"><subject>Cohort Profiles</subject></subj-group></article-categories><title-group><article-title>Cohort Profile: The Likoma Network Study (LNS)</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Helleringer</surname><given-names>Stéphane</given-names></name><xref ref-type="aff" rid="dyt001-AFF1"><sup>1</sup></xref><xref ref-type="corresp" rid="dyt001-COR1">*</xref></contrib><contrib contrib-type="author"><name><surname>Mkandawire</surname><given-names>James</given-names></name><xref ref-type="aff" rid="dyt001-AFF1"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Kalilani-Phiri</surname><given-names>Linda</given-names></name><xref ref-type="aff" rid="dyt001-AFF1"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Kohler</surname><given-names>Hans-Peter</given-names></name><xref ref-type="aff" rid="dyt001-AFF1"><sup>3</sup></xref></contrib></contrib-group><aff id="dyt001-AFF1"><sup>1</sup>Mailman School of Public Health, Columbia University, New York, NY, USA,<sup>2</sup>University of Malawi, College of Medicine, Blantyre, Malawi and<sup>3</sup>University of Pennsylvania, Population Studies Center, Philadelphia, PA, USA</aff><author-notes><corresp id="dyt001-COR1">*Corresponding author. Mailman School of Public Health, Columbia University. 60 Haven Avenue, New York, NY 10032, USA. E-mail: <email>sh2813@columbia.edu</email></corresp></author-notes><pub-date pub-type="ppub"><month>4</month><year>2014</year></pub-date><pub-date pub-type="epub"><day>28</day><month>3</month><year>2013</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>4</month><year>2015</year></pub-date><pmc-comment> PMC Release delay is 12 months and
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<volume>43</volume><issue>2</issue><fpage>545</fpage><lpage>557</lpage><history><date date-type="accepted"><day>7</day><month>1</month><year>2013</year></date></history><permissions><copyright-statement>Published by Oxford University Press on behalf of the International Epidemiological Association © The Author 2013; all rights reserved.</copyright-statement><copyright-year>2013</copyright-year></permissions><abstract><p>The Likoma network study (LNS) investigates the sexual networks connecting the inhabitants of Likoma, a small island of Lake Malawi with high HIV prevalence. Whereas previous studies of sexual networks and HIV/AIDS in sub-Saharan countries have focused solely on the personal networks of a small number of respondents, the LNS attempts to document the sexual networks of the entire adult population of Likoma. To do so, it uses a unique sociocentric study design, in which all members of the local population are contacted for a survey interview and are asked to nominate their five most recent sexual partners. Using these data, quasi-complete ‘maps’ of the sexual networks connecting inhabitants of the island can be constructed. These maps allow investigation of the impact of networks on HIV epidemiology and can inform mathematical models of HIV prevention. In addition to data on sexual networks, the LNS data include information on the social networks (e.g. friendship), socioeconomic characteristics and HIV status of Likoma’s residents. Baseline data were collected in 2005–06. A first follow-up was conducted in 2007–08 and a second follow-up is planned for early 2013. Access to the LNS data is contingent upon review of a short concept paper and forming collaborations with LNS investigators.</p></abstract><counts><page-count count="13"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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