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dc.contributor.authorNduva, George M
dc.contributor.authorOtieno, Frederick
dc.contributor.authorKimani, Joshua
dc.contributor.authorMcKinnon, Lyle R
dc.contributor.authorCholette, Francois
dc.contributor.authorSandstrom, Paul
dc.contributor.authorGraham, Susan M
dc.contributor.authorPrice, Matt A
dc.contributor.authorSmith, Adrian D
dc.contributor.authorBailey, Robert C
dc.contributor.authorHassan, Amin S
dc.contributor.authorSanders, Eduard J
dc.identifier.citationNduva GM, Otieno F, Kimani J, McKinnon LR, Cholette F, Sandstrom P, Graham SM, Price MA, Smith AD, Bailey RC, Hassan AS, Esbjörnsson J, Sanders EJ. Phylogeographic Assessment Reveals Geographic Sources of HIV-1 Dissemination Among Men Who Have Sex With Men in Kenya. Front Microbiol. 2022 Mar 9;13:843330. doi: 10.3389/fmicb.2022.843330. PMID: 35356525; PMCID: PMC8959701.en_US
dc.description.abstractHIV-1 transmission dynamics involving men who have sex with men (MSM) in Africa are not well understood. We investigated the rates of HIV-1 transmission between MSM across three regions in Kenya: Coast, Nairobi, and Nyanza. We analyzed 372 HIV-1 partial pol sequences sampled during 2006-2019 from MSM in Coast (N = 178, 47.9%), Nairobi (N = 137, 36.8%), and Nyanza (N = 57, 15.3%) provinces in Kenya. Maximum-likelihood (ML) phylogenetics and Bayesian inference were used to determine HIV-1 clusters, evolutionary dynamics, and virus migration rates between geographic regions. HIV-1 sub-subtype A1 (72.0%) was most common followed by subtype D (11.0%), unique recombinant forms (8.9%), subtype C (5.9%), CRF 21A2D (0.8%), subtype G (0.8%), CRF 16A2D (0.3%), and subtype B (0.3%). Forty-six clusters (size range 2-20 sequences) were found-half (50.0%) of which had evidence of extensive HIV-1 mixing among different provinces. Data revealed an exponential increase in infections among MSM during the early-to-mid 2000s and stable or decreasing transmission dynamics in recent years (2017-2019). Phylogeographic inference showed significant (Bayes factor, BF > 3) HIV-1 dissemination from Coast to Nairobi and Nyanza provinces, and from Nairobi to Nyanza province. Strengthening HIV-1 prevention programs to MSM in geographic locations with higher HIV-1 prevalence among MSM (such as Coast and Nairobi) may reduce HIV-1 incidence among MSM in Kenya.en_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.subjectHIV-1; Kenya; MSM; molecular epidemiology; phylogeographic.en_US
dc.titlePhylogeographic Assessment Reveals Geographic Sources of Hiv-1 Dissemination Among Men Who Have Sex With Men in Kenyaen_US

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