Quantifying rates of HIV-1 flow between risk groups and geographic locations in Kenya: A country-wide phylogenetic study. Issue 1 (3rd March 2022)

• Record Type: Journal Article
• Authors: Nduva, George M; Otieno, Frederick; Kimani, Joshua; Wahome, Elizabeth; McKinnon, Lyle R; Cholette, Francois; Majiwa, Maxwell; Masika, Moses; Mutua, Gaudensia; Anzala, Omu; Graham, Susan M; Gelmon, Larry; Price, Matt A; Smith, Adrian D; Bailey, Robert C; Baele, Guy; Lemey, Philippe; Hassan, Amin S; Sanders, Eduard J; Esbjörnsson, Joakim
• Is Part Of: Virus evolution. Volume 8:Issue 1(2022)
• Publication Date: 2022-03-03
• Subjects: HIV-1 -- key populations -- molecular epidemiology -- transmission; Viruses -- Evolution -- Periodicals; 579.2138
• DOI: 10.1093/ve/veac016
• Languages: English
• ISSNs: 2057-1577

Abstract

Abstract: In Kenya, HIV-1 key populations including men having sex with men (MSM), people who inject drugs (PWID) and female sex workers (FSW) are thought to significantly contribute to HIV-1 transmission in the wider, mostly heterosexual (HET) HIV-1 transmission network. However, clear data on HIV-1 transmission dynamics within and between these groups are limited. We aimed to empirically quantify rates of HIV-1 flow between key populations and the HET population, as well as between different geographic regions to determine HIV-1 'hotspots' and their contribution to HIV-1 transmission in Kenya. We used maximum-likelihood phylogenetic and Bayesian inference to analyse 4058 HIV-1 pol sequences (representing 0.3 per cent of the epidemic in Kenya) sampled 1986–2019 from individuals of different risk groups and regions in Kenya. We found 89 per cent within-risk group transmission and 11 per cent mixing between risk groups, cyclic HIV-1 exchange between adjoining geographic provinces and strong evidence of HIV-1 dissemination from (i) West-to-East (i.e. higher-to-lower HIV-1 prevalence regions), and (ii) heterosexual-to-key populations. Low HIV-1 prevalence regions and key populations are sinks rather than major sources of HIV-1 transmission in Kenya. Targeting key populations in Kenya needs to occur concurrently with strengthening interventions in the general epidemic.