PDF(Pubmed)
Abstract：
Respondent-driven sampling (RDS) is commonly used to sample from key populations without a sampling frame since traditional methods are unable to efficiently survey them. Surveying these populations is often desirable to inform service delivery, assess effectiveness of programs, and determine prevalence of diseases. However, there are concerns about how RDS works in practice due to its many assumptions. To assess some of these assumptions, we develop diagnostics using geographical data and demonstrate their utility by identifying lack of convergence and characterizing RDS reach in surveys conducted among female sex workers and men who have sex with men in Kampala, Uganda.
摘要：
受访者驱动抽样（RDS）通常用于从没有抽样框架的关键群体中进行抽样，因为传统方法无法有效地调查它们。调查这些人口通常需要告知服务提供情况，评估项目的有效性，并确定疾病的患病率。然而,由于RDS的许多假设，人们对RDS在实践中的工作方式感到担忧。为了评估其中的一些假设，我们使用地理数据开发诊断，并通过在坎帕拉的女性性工作者和男男性行为者中进行的调查中确定缺乏趋同和描述RDS范围来证明其实用性，乌干达。
