Estimating the size of key populations: current status and future possibilities.

Curr Opin HIV AIDS

Division of Global HIV/AIDS, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Published: March 2014

AI Article Synopsis

  • Estimating population sizes for key groups affected by HIV is crucial for advocacy and program planning, especially concerning MSM, people who inject drugs, and sex workers.
  • Various methods have been used for population size estimation, including capture-recapture and service multipliers, but some emerging methods are mainly survey-focused and not widely used.
  • Despite the availability of multiple methods, challenges remain in achieving accurate and valid population estimates due to theoretical assumptions and logistical difficulties, highlighting the need for using multiple methods to enhance estimate reliability.

Article Abstract

Purpose Of Review: Estimation of key population sizes is essential for advocacy, program planning, and monitoring of HIV epidemics in these populations. A review of recent publications on population size estimation among key populations including MSM, people who inject drugs, and male and female sex workers was conducted to identify and assess current practices at the global level.

Recent Findings: Studies have used multiple methods including capture-recapture, service multiplier, and unique object multiplier. Other studies apply census and enumeration, often before implementation of a behavioral survey. Network scale-up is used infrequently. Newer methods or variations of existing size estimation methods have emerged that are applied solely within surveys.

Summary: A range of size estimation methods is available. All methods rely on theoretical assumptions that are difficult to meet in practice, are logistically difficult to conduct, or have yet to be fully validated. Accurate and valid key population size estimates remain as necessary as they are challenging to undertake; the concurrent use of multiple methods may be justified to facilitate the triangulation and interpretation of the resulting estimates. Formative assessment can help inform the appropriateness and feasibility of different size estimation methods.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6787402PMC
http://dx.doi.org/10.1097/COH.0000000000000041DOI Listing

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