Cassels Susan, Jenness Samuel M, Khanna Aditya S
Department of Epidemiology, University of Washington, 325 9th Avenue, Box 359931, Seattle, WA, 98104, USA,
AIDS Behav. 2014 Dec;18(12):2302-13. doi: 10.1007/s10461-013-0665-z.
Migration and mobility have had a profound influence on the global HIV epidemic. We propose a network-dyadic conceptual model to interpret previous literature and inform the development of future research with respect to study design, measurement methods, and analytic approach. In this model, HIV transmission is driven by risk behaviors of migrants that emerges and is enabled by mobility, the bridging of sub-epidemics across space and time, and the displacement effects on the primary residential sending community for migrants. To investigate these causal pathways, empirical study designs must measure the relative timing of migratory events, sexual risk behaviors, and incident HIV infections. Network-based mathematical models using empirical data on partnerships help gain insight into the dynamic disease transmission systems. Although the network-dyadic conceptual model and related network methods may not address all questions related to migration and HIV, they provide a unified approach for future research on this important topic.
移民与流动对全球艾滋病流行产生了深远影响。我们提出了一个网络二元概念模型，以解读以往文献，并为未来研究在研究设计、测量方法和分析方法方面的发展提供参考。在这个模型中，艾滋病毒传播由移民的风险行为驱动，这些行为因流动而出现并得以发生，跨越时空连接子疫情，以及对移民主要居住的迁出社区产生替代效应。为了研究这些因果路径，实证研究设计必须测量移民事件、性风险行为和艾滋病毒感染事件的相对时间。利用伙伴关系实证数据的基于网络的数学模型有助于深入了解动态疾病传播系统。尽管网络二元概念模型及相关网络方法可能无法解决与移民和艾滋病相关的所有问题，但它们为这一重要主题的未来研究提供了统一的方法。
