| 朱丽敏,张晓婷,马凯芳,李东民.受访者驱动抽样在人群规模估计中的应用进展[J].Chinese journal of Epidemiology,2022,43(8):1333-1337 |
| 受访者驱动抽样在人群规模估计中的应用进展 |
| Progress on the application of respondent-driven sampling in population size estimation |
| Received:November 30, 2021 |
| DOI：10.3760/cma.j.cn112338-20211130-00926 |
| KeyWord: 受访者驱动抽样 人群规模 估计 应用 |
| English Key Word: Respondent-driven sampling Population size Estimation Application |
| FundProject:国家科技重大专项（2017ZX10201101-002-005） |
| Author Name | Affiliation | E-mail | | Zhu Limin | Division of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China | | | Zhang Xiaoting | Division of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China | | | Ma Kaifang | Division of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China | | | Li Dongmin | Division of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China | lidongmin@chinaaids.cn |
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| Abstract: |
| 受访者驱动抽样（RDS）是一种专门针对隐匿人群的抽样方法，常用于跨性别者、暗娼、MSM等因耻辱感和法律制度的约束难以识别和接触的人群，并逐渐应用于一般人群。随着RDS的不断改进和完善，研究发现对RDS样本的社交网络规模赋予权重可以估计总体的情况及人群规模。本文对目前RDS在人群规模估计中的应用进展进行综述，为RDS的发展及使用该方法开展相关研究提供思路。 |
| English Abstract: |
| Respondent-driven sampling (RDS) is a method of sampling specifically for hidden populations, often applied to transgender women, female sex workers, men who have sex with men, and other groups that are difficult to identify and contact because of stigma and legal constraints. However, this method is gradually applied to the general population. With the continuous improvement of RDS, studies find that the network size of RDS samples can be weighted to estimate the overall situation and population size. This article summarizes the current application progress of RDS in population size estimation and provides ideas for the development of RDS and the use of RDS to carry out relevant research. |
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