ArticlePloS one2017
Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Hidden Population Estimation with Indirect Inference and Auxiliary Information.Proceedings of machine learning research · 2024Article
- Prevalence of HCV among people who inject drugs in Brussels-a respondent-driven sampling survey.Harm reduction journal · 2020Article
- Population Size Estimations Among Hidden Populations Using Respondent-Driven Sampling Surveys: Case Studies From Armenia.JMIR public health and surveillance · 2019Article
- Maximizing respondent-driven sampling field procedures in the recruitment of sexual minorities for health research.SAGE open medicine · 2019Article
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Authors and funding
5 authors.
Funding
Abstract
Estimating the size of key risk populations is essential for determining the resources needed to implement effective public health intervention programs. Several standard methods for population size estimation exist, but the statistical and practical assumptions required for their use may not be met when applied to HIV risk groups. We apply three approaches to estimate the number of people who inject drugs (PWID) in the Kohtla-Järve region of Estonia using data from a respondent-driven sampling (RDS) study: the standard "multiplier" estimate gives 654 people (95% CI 509-804), the "successive sampling" method gives estimates between 600 and 2500 people, and a network-based estimate that uses the RDS recruitment chain gives between 700 and 2800 people. We critically assess the strengths and weaknesses of these statistical approaches for estimating the size of hidden or hard-to-reach HIV risk groups.
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Registered trials
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