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Cohort Profile: The Likoma Network Study (LNS)

Overview
Journal Int J Epidemiol
Specialty Public Health
Date 2013 Apr 2
PMID 23543589
Citations 8
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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.

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References
1.
. HIV: consensus indicators are needed for concurrency. Lancet. 2009; 375(9715):621-2. DOI: 10.1016/S0140-6736(09)62040-7. View

2.
Yang O, Lewis M, Reed E, Gjertson D, Kalilani-Phiri L, Mkandawire J . Human leukocyte antigen class I haplotypes of human immunodeficiency virus-1-infected persons on Likoma Island, Malawi. Hum Immunol. 2011; 72(10):877-80. PMC: 3175254. DOI: 10.1016/j.humimm.2011.05.003. View

3.
Helleringer S, Kohler H, Mkandawire J . Women underestimate the age of their partners during survey interviews: implications for HIV risk associated with age mixing in northern Malawi. Sex Transm Dis. 2011; 38(11):1030-5. PMC: 3241211. DOI: 10.1097/OLQ.0b013e318227a486. View

4.
Rothenberg R . HIV transmission networks. Curr Opin HIV AIDS. 2009; 4(4):260-5. PMC: 2884281. DOI: 10.1097/COH.0b013e32832c7cfc. View

5.
Kretzschmar M, Morris M . Measures of concurrency in networks and the spread of infectious disease. Math Biosci. 1996; 133(2):165-95. DOI: 10.1016/0025-5564(95)00093-3. View