title: Estimated Number of People Who Inject Drugs in San Francisco, 2005, 2009, and 2012.
abstract: Allocation of resources to public health responses depends on having plausible estimates of the size of the population at risk. Unfortunately, the numbers of people who inject drugs (PWID) are difficult to estimate since injection drug use is highly stigmatized. Though estimation methods exist, the robustness of the methods to their assumptions is not well understood. Comparisons between methods are also lacking; information regarding the successive-sampling method is particularly scarce. The present study used several methods-including the successive-sampling method-to produce population size estimates from three rounds of cross-sectional surveys of PWID in San Francisco. It compares these estimates across time and across method. Our summary estimates are 10,158 for 2005, 15,554 for 2009, and 22,500 for 2012. Though the point summaries suggest an increasing population, considerable uncertainty is involved. Comparisons between and within methods reveal high variability, suggesting dependence on assumptions and analytic choices. We conclude that further research is needed to improve upon the estimation methods or develop entirely new ones. Meanwhile, plausible estimates can be achieved via multiple methods while avoiding the pitfall of relying on a single method that may be highly biased and highly imprecise.
authors.affiliation: San Francisco Department of Public Health, 25 Van Ness Ave Ste 500, San Francisco, CA, 94102, USA.
authors.forename: Yea-Hung
authors.initials: YH
authors.lastname: Chen
authors.affiliation: San Francisco Department of Public Health, 25 Van Ness Ave Ste 500, San Francisco, CA, 94102, USA.|Epidemiology and Biostatistics, University of California, San Francisco, USA.
authors.forename: Willi
authors.initials: W
authors.lastname: McFarland
authors.affiliation: San Francisco Department of Public Health, 25 Van Ness Ave Ste 500, San Francisco, CA, 94102, USA. hfisher.raymond@sfdph.org.|Epidemiology and Biostatistics, University of California, San Francisco, USA. hfisher.raymond@sfdph.org.
authors.forename: Henry F
authors.initials: HF
authors.lastname: Raymond
mesh_terms: D003430:Cross-Sectional Studies; D005260:Female; D015658:HIV Infections / Q000453:epidemiology* / Q000635:transmission; D006306:Health Surveys; D006801:Humans; D008297:Male; D011156:Population Density; D011159:Population Surveillance; D012307:Risk Factors; D012494:Sampling Studies; D012495:San Francisco; D015819:Substance Abuse, Intravenous / Q000453:epidemiology*; D014505:Urban Population / Q000706:statistics & numerical data*
keywords: PWID; Population size; Population size estimation methods; Respondent-driven sampling