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The Development and the Assessment of Sampling Methods for Hard-to-Reach Populations in HIV Surveillance
Peng Wang1, Chongyi Wei2, Willi McFarland3
1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Summary
Sampling hard-to-reach populations (HTRPs) for HIV surveillance is challenging. While respondent-driven sampling (RDS) is widely assessed, more research is needed to confirm its effectiveness and explore new methods for accurate HIV burden estimation.
Area of Science:
- Epidemiology
- Public Health
- Biostatistics
Background:
- Accurate HIV burden estimation is hindered by difficulties in reaching high-risk populations due to stigma and legal issues.
- Effective sampling methods are crucial for HIV surveillance among hard-to-reach populations (HTRPs) since the 1981 AIDS epidemic.
- Various sampling techniques have been developed and employed for HTRPs in HIV surveillance.
Purpose of the Study:
- To describe the development and assessment of sampling methods for HTRPs in HIV surveillance.
- To evaluate the validity and reproducibility of approximately eight sampling methods.
- To focus on respondent-driven sampling (RDS) and its current standing in HTRP sampling.
Main Methods:
- Review and description of approximately eight sampling methods used for HTRPs.
- Focus on the assessment (validity and reproducibility) of these methods.
- Specific emphasis on respondent-driven sampling (RDS) within the context of HIV surveillance.
Main Results:
- Respondent-driven sampling (RDS) has undergone more extensive assessment compared to other methods.
- Current evidence is insufficient to establish RDS as the optimal method for sampling HTRPs.
- The validity and reproducibility of various sampling methods for HTRPs require further investigation.
Conclusions:
- Continued assessment of respondent-driven sampling (RDS) is necessary.
- Development of novel sampling approaches or modifications to existing methods is essential for improving HTRP sampling in HIV surveillance.
- Enhanced sampling strategies are needed to accurately estimate HIV burden in hard-to-reach populations.

