Literature DB >> 26721246

Estimated Number of People Who Inject Drugs in San Francisco, 2005, 2009, and 2012.

Yea-Hung Chen1, Willi McFarland1,2, Henry F Raymond3,4.   

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.

Entities:  

Keywords:  PWID; Population size; Population size estimation methods; Respondent-driven sampling

Mesh:

Year:  2016        PMID: 26721246     DOI: 10.1007/s10461-015-1268-7

Source DB:  PubMed          Journal:  AIDS Behav        ISSN: 1090-7165


  6 in total

1.  A Bayesian approach to synthesize estimates of the size of hidden populations: the Anchored Multiplier.

Authors:  Paul D Wesson; Ali Mirzazadeh; Willi McFarland
Journal:  Int J Epidemiol       Date:  2018-10-01       Impact factor: 7.196

2.  Hepatitis C prevalence and key population size estimate updates in San Francisco: 2015 to 2019.

Authors:  Shelley N Facente; Rachel Grinstein; Roberta Bruhn; Zhanna Kaidarova; Erin Wilson; Jennifer Hecht; Katie Burk; Eduard Grebe; Meghan D Morris
Journal:  PLoS One       Date:  2022-05-11       Impact factor: 3.752

3.  Hepatitis C Care Cascades for 3 Populations at High Risk: Low-income Trans Women, Young People Who Inject Drugs, and Men Who Have Sex With Men and Inject Drugs.

Authors:  Shelley N Facente; Sheena Patel; Jennifer Hecht; Erin Wilson; Willi McFarland; Kimberly Page; Peter Vickerman; Hannah Fraser; Katie Burk; Meghan D Morris
Journal:  Clin Infect Dis       Date:  2021-09-15       Impact factor: 9.079

4.  Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia.

Authors:  Jiacheng Wu; Forrest W Crawford; Mait Raag; Robert Heimer; Anneli Uusküla
Journal:  PLoS One       Date:  2017-11-02       Impact factor: 3.240

5.  Population size estimation of transgender women and men in Bhutan.

Authors:  Lekey Khandu; Kinley Kinley; Yonten Choki Norbu; Tashi Tobgay; Tashi Tsheten; Tenzin Gyeltshen; Sonam Choden; Willi McFarland
Journal:  PLoS One       Date:  2022-10-07       Impact factor: 3.752

6.  Estimated hepatitis C prevalence and key population sizes in San Francisco: A foundation for elimination.

Authors:  Shelley N Facente; Eduard Grebe; Katie Burk; Meghan D Morris; Edward L Murphy; Ali Mirzazadeh; Aaron A Smith; Melissa A Sanchez; Jennifer L Evans; Amy Nishimura; Henry F Raymond
Journal:  PLoS One       Date:  2018-04-11       Impact factor: 3.240

  6 in total

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