Progress on the application of respondent-driven sampling in population size estimation.
10.3760/cma.j.cn112338-20211130-00926
- Author:
Li Min ZHU
1
;
Xiao Ting ZHANG
1
;
Kai Fang MA
1
;
Dong Min LI
1
Author Information
1. Division of Epidemiology, National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
- Publication Type:Journal Article
- MeSH:
Female;
HIV Infections/epidemiology*;
Homosexuality, Male;
Humans;
Male;
Population Density;
Sampling Studies;
Sex Workers;
Sexual and Gender Minorities;
Surveys and Questionnaires
- From:
Chinese Journal of Epidemiology
2022;43(8):1333-1337
- CountryChina
- Language:Chinese
-
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.
