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Risk Factors for Recent HIV Infections among Adults in 14 Countries in Africa Identified by Population-Based HIV Impact Assessment Surveys, 2015–2019

Identifying persons who have newly acquired HIV infections is critical for characterizing the HIV epidemic direction. We analyzed pooled data from nationally representative Population-Based HIV Impact Assessment surveys conducted across 14 countries in Africa for recent infection risk factors. We in...

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Detalles Bibliográficos
Autores principales: Currie, Dustin W., West, Christine A., Patel, Hetal K., Favaloro, Jennifer, Asiimwe, Fred, Ndagije, Felix, Silver, Rachel, Mugurungi, Owen, Shang, Judith, Ndongmo, Clement B., Williams, Daniel B., Dzinotyiweyi, Edington, Waruru, Anthony, Pasipamire, Munyaradzi, Nuwagaba-Biribonwoha, Harriet, Dlamini, Sindisiwe, McLeod, Natasha, Kayirangwa, Eugenie, Rwibasira, Gallican, Minchella, Peter A., Auld, Andrew F., Nyirenda, Rose, Getaneh, Yimam, Hailemariam, Ashenafi Haile, Tondoh-Koui, Isabelle, Kohemun, Natacha, Mgomella, George S., Njau, Prosper Faustine, Kirungi, Wilford L., Dalhatu, Ibrahim, Stafford, Kristen A., Bodika, Stephane M., Ussery, Faith, McCracken, Stephen, Stupp, Paul, Brown, Kristin, Duong, Yen T., Parekh, Bharat S., Voetsch, Andrew C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10617335/
https://www.ncbi.nlm.nih.gov/pubmed/37877591
http://dx.doi.org/10.3201/eid2911.230703
Descripción
Sumario:Identifying persons who have newly acquired HIV infections is critical for characterizing the HIV epidemic direction. We analyzed pooled data from nationally representative Population-Based HIV Impact Assessment surveys conducted across 14 countries in Africa for recent infection risk factors. We included adults 15–49 years of age who had sex during the previous year and used a recent infection testing algorithm to distinguish recent from long-term infections. We collected risk factor information via participant interviews and assessed correlates of recent infection using multinomial logistic regression, incorporating each surveyʼs complex sampling design. Compared with HIV-negative persons, persons with higher odds of recent HIV infection were women, were divorced/separated/widowed, had multiple recent sex partners, had a recent HIV-positive sex partner or one with unknown status, and lived in communities with higher HIV viremia prevalence. Prevention programs focusing on persons at higher risk for HIV and their sexual partners will contribute to reducing HIV incidence.