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The Development and the Assessment of Sampling Methods for Hard-to-Reach Populations in HIV Surveillance

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Abstract

Due to stigma or legal issues, populations with higher HIV risk are often hard to reach, which impedes accurate population estimation of HIV burden. To better sample hard-to-reach populations (HTRPs) for HIV surveillance, various sampling methods have been designed and/or used since HIV epidemic following the first reported AIDS cases in 1981. This paper describes the development and the assessment (i.e., validity and reproducibility) of approximately eight sampling methods (e.g., convenience sampling, snowball sampling, time location sampling, and respondent-driven sampling) for HTRPs in HIV surveillance, with a focus on respondent-driven sampling (RDS). Compared to other methods, RDS has been greatly assessed. However, current evidence is still inadequate for RDS to be considered the best option for sampling HTRPs. The field must continue to assess RDS and to develop new sampling approaches or modifications to existing approaches.

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Acknowledgements

The authors acknowledge the help of Yingting Zhang (a research services librarian at the Robert Wood Johnson Library of the Health Sciences, Rutgers University) and Pamela Valera (an assistant professor at the School of Public Health, Rutgers University) for their guidance during the development of this literature search. The authors also acknowledge the comments of Stephanie Shiau (an assistant professor at the School of Public Health, Rutgers University) and Min Xu (an assistant professor at the Department of Statistics, Rutgers University).

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Wang, P., Wei, C., McFarland, W. et al. The Development and the Assessment of Sampling Methods for Hard-to-Reach Populations in HIV Surveillance. J Urban Health (2024). https://doi.org/10.1007/s11524-024-00880-w

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