Kim Brian, Ogwal Moses, Sande Enos, Kiyingi Herbert, Serwadda David, Hladik Wolfgang
Joint Program in Survey Methodology, University of Maryland, 1218 LeFrak Hall, 7251 Preinkert Dr., College Park, MD 20742, USA.
Makerere University School of Public Health, Old Mulago Hill Road, New Mulago Hospital Complex, P.O. Box 7072, Kampala, Uganda.
Soc Networks. 2022 May;69:74-83. doi: 10.1016/j.socnet.2020.05.001.
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.
应答驱动抽样（RDS）通常用于在没有抽样框的情况下对重点人群进行抽样，因为传统方法无法有效地对他们进行调查。对这些人群进行调查通常有助于为服务提供提供信息、评估项目效果以及确定疾病的流行情况。然而，由于RDS有许多假设，人们对其在实际中的运作方式存在担忧。为了评估其中一些假设，我们利用地理数据开发了诊断方法，并通过识别缺乏收敛性以及描述在乌干达坎帕拉对女性性工作者和男男性行为者进行的调查中RDS的覆盖范围，来证明这些方法的实用性。
