Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Center for Biomedical Modeling, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Lancet HIV. 2020 Mar;7(3):e209-e214. doi: 10.1016/S2352-3018(19)30407-2. Epub 2020 Feb 14.
Multiple phylogenetic studies of HIV in sub-Saharan Africa have shown that mobility-driven transmission frequently occurs: many communities export and import strains. Mobility-driven transmission can result in source-sink dynamics: one community can sustain a micro-epidemic in another community in which transmission is too low to be self-sustaining. In epidemiology, the basic reproduction number (R) is used to specify the sustainability threshold. R represents the average number of secondary infections generated by one infected individual in a community in which everyone is susceptible. If R is greater than 1, transmission is high enough to sustain an epidemic; if R is less than 1, it is not. Here, we discuss the conditions that are needed (in terms of R) for source-sink transmission dynamics to occur in generalised HIV epidemics in sub-Saharan Africa, present an example of where these conditions could occur (ie, Namibia), and discuss the necessity of considering mobility-driven transmission when designing control strategies. Additionally, we discuss the need for a new generation of HIV transmission models that are more realistic than the current models. The new models should reflect not only geographical variation in epidemiology and demography, but also the spatial-temporal complexity of population-level movement patterns.
多项在撒哈拉以南非洲进行的 HIV 系统发育研究表明,流动性驱动的传播经常发生:许多社区会输出和输入菌株。流动性驱动的传播会导致源汇动态:一个社区可以在另一个传播率太低而无法自我维持的社区中维持微小的流行。在流行病学中,基本繁殖数(R)用于指定可持续性阈值。R 代表在一个易感人群中,一个受感染个体在社区中产生的二次感染的平均数量。如果 R 大于 1,则传播足以维持流行;如果 R 小于 1,则不会。在这里,我们讨论了在撒哈拉以南非洲普遍存在的 HIV 流行中发生源汇传播动态所需的条件(以 R 表示),并提出了一种可能发生这些条件的情况(即纳米比亚),并讨论了在设计控制策略时需要考虑流动性驱动的传播。此外,我们还讨论了需要新一代比当前模型更具现实意义的 HIV 传播模型。新模型不仅应反映流行病学和人口统计学的地理差异,还应反映人群水平移动模式的时空复杂性。