We present a comprehensive statistical methodological framework for estimating contextual exposure to HIV that includes local (grid-cell level) estimation of HIV prevalence and human activity space estimation based on GPS data. The development of our framework was necessary to analyze HIV surveillance and sociodemographic survey data in conjunction with GPS data collected in rural KwaZulu-Natal, South Africa, to study the mobility patterns of young people. Based on mobility and contextual exposure measures, we examine whether the sex and age of study participants systematically influence the extent and structure of their mobility patterns. We discuss techniques for investigating how the study participants' contextual exposure to HIV changes as their activity spaces expand beyond residential locations, as well as methods for identifying study participants who may be at increased risk of acquiring HIV. KEYWORDS: Contextual HIV exposure; GPS-based mobility analysis; Activity space; HIV prevalence mapping

翻译：我们提出了一种全面的统计方法框架，用于估计HIV的情境暴露，该框架包括基于GPS数据的HIV患病率局部（网格单元级别）估计和人类活动空间估计。开发此框架是为了分析南非夸祖鲁-纳塔尔省农村地区收集的HIV监测数据、社会人口学调查数据以及GPS数据，以研究年轻人的流动模式。基于流动性和情境暴露指标，我们检验了研究参与者的性别和年龄是否系统性地影响其流动模式的范围和结构。我们讨论了研究参与者活动空间扩展至居住地之外时，其HIV情境暴露如何变化的技术方法，以及识别可能面临较高HIV感染风险的研究参与者的方法。关键词：HIV情境暴露；基于GPS的流动性分析；活动空间；HIV患病率制图