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Distinct HIV discordancy patterns by epidemic size in stable sexual partnerships in sub-Saharan Africa

OBJECTIVE: To describe patterns of HIV infection among stable sexual partnerships across sub-Saharan Africa (SSA). METHODS: The authors defined measures of HIV discordancy and conducted a comprehensive quantitative assessment of discordancy among stable partnerships in 20 countries in SSA through an...

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Detalles Bibliográficos
Autores principales: Chemaitelly, Hiam, Cremin, Ide, Shelton, Jim, Hallett, Timothy B, Abu-Raddad, Laith J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Group 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261749/
https://www.ncbi.nlm.nih.gov/pubmed/22250180
http://dx.doi.org/10.1136/sextrans-2011-050114
Descripción
Sumario:OBJECTIVE: To describe patterns of HIV infection among stable sexual partnerships across sub-Saharan Africa (SSA). METHODS: The authors defined measures of HIV discordancy and conducted a comprehensive quantitative assessment of discordancy among stable partnerships in 20 countries in SSA through an analysis of the Demographic and Health Survey data. RESULTS: HIV prevalence explained at least 50% of the variation in HIV discordancy, with two distinct patterns of discordancy emerging based on HIV prevalence being roughly smaller or larger than 10%. In low-prevalence countries, approximately 75% of partnerships affected by HIV are discordant, while only about half of these are discordant in high-prevalence countries. Out of each 10 HIV infected persons, two to five are engaged in discordant partnerships in low-prevalence countries compared with one to three in high-prevalence countries. Among every 100 partnerships in the population, one to nine are affected by HIV and zero to six are discordant in low-prevalence countries compared with 16–45 and 9–17, respectively, in high-prevalence countries. Finally, zero to four of every 100 sexually active adults are engaged in a discordant partnership in low-prevalence countries compared with six to eight in high-prevalence countries. CONCLUSIONS: In high-prevalence countries, a large fraction of stable partnerships were affected by HIV and half were discordant, whereas in low-prevalence countries, fewer stable partnerships were affected by HIV but a higher proportion of them were discordant. The findings provide a global view of HIV infection among stable partnerships in SSA but imply complex considerations for rolling out prevention interventions targeting discordant partnerships.