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The Development and the Assessment of Sampling Methods for Hard-to-Reach Populations in HIV Surveillance.
Wang, Peng; Wei, Chongyi; McFarland, Willi; Raymond, Henry F.
  • Wang P; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Wei C; School of Public Health, Rutgers University, Piscataway, NJ, USA.
  • McFarland W; San Francisco Department of Public Health, San Francisco, CA, USA.
  • Raymond HF; School of Public Health, Rutgers University, Piscataway, NJ, USA. hfisher.raymond@rutgers.edu.
J Urban Health ; 101(4): 856-866, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38787451
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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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infecciones por VIH / Vigilancia de la Población / Muestreo Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Infecciones por VIH / Vigilancia de la Población / Muestreo Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article