Department of Translational Medicine, Lund University, 205 02 Malmö, Sweden.
Kenya Medical Research Institute (KEMRI)-Wellcome Trust Research Programme, Kilifi 80108, Kenya.
Viruses. 2021 Jun 19;13(6):1174. doi: 10.3390/v13061174.
To reduce global HIV-1 incidence, there is a need to understand and disentangle HIV-1 transmission dynamics and to determine the geographic areas and populations that act as hubs or drivers of HIV-1 spread. In Sub-Saharan Africa (sSA), the region with the highest HIV-1 burden, information about such transmission dynamics is sparse. Phylogenetic inference is a powerful method for the study of HIV-1 transmission networks and source attribution. In this review, we assessed available phylogenetic data on mixing between HIV-1 hotspots (geographic areas and populations with high HIV-1 incidence and prevalence) and areas or populations with lower HIV-1 burden in sSA. We searched PubMed and identified and reviewed 64 studies on HIV-1 transmission dynamics within and between risk groups and geographic locations in sSA (published 1995-2021). We describe HIV-1 transmission from both a geographic and a risk group perspective in sSA. Finally, we discuss the challenges facing phylogenetic inference in mixed epidemics in sSA and offer our perspectives and potential solutions to the identified challenges.
为降低全球人类免疫缺陷病毒1型(HIV-1)的发病率,有必要了解并理清HIV-1的传播动态,确定作为HIV-1传播中心或驱动因素的地理区域和人群。在HIV-1负担最重的撒哈拉以南非洲地区,关于此类传播动态的信息十分匮乏。系统发育推断是研究HIV-1传播网络和溯源的有力方法。在本综述中,我们评估了撒哈拉以南非洲地区HIV-1热点地区(HIV-1发病率和流行率高的地理区域和人群)与HIV-1负担较低的地区或人群之间混合情况的现有系统发育数据。我们检索了PubMed数据库,确定并综述了64项关于撒哈拉以南非洲地区风险群体内部以及不同风险群体和地理位置之间HIV-1传播动态的研究(发表于1995年至2021年)。我们从地理和风险群体两个角度描述了撒哈拉以南非洲地区的HIV-1传播情况。最后,我们讨论了撒哈拉以南非洲地区混合流行情况下系统发育推断面临的挑战,并针对已确定的挑战提出了我们的观点和潜在解决方案。