Literature DB >> 26392276

If You Are Not Counted, You Don't Count: Estimating the Number of African-American Men Who Have Sex with Men in San Francisco Using a Novel Bayesian Approach.

Paul Wesson1, Mark S Handcock2, Willi McFarland3, H Fisher Raymond3.   

Abstract

African-American men who have sex with men (AA MSM) have been disproportionately infected with and affected by HIV and other STIs in San Francisco and the USA. The true scope and scale of the HIV epidemic in this population has not been quantified, in part because the size of this population remains unknown. We used the successive sampling population size estimation (SS-PSE) method, a new Bayesian approach to population size estimation that incorporates network size data routinely collected in respondent-driven sampling (RDS) studies, to estimate the number of AA MSM in San Francisco. This method was applied to data from a 2009 RDS study of AA MSM. An estimate from a separate study of local AA MSM was used to model the prior distribution of the population size. Two-hundred and fifty-six AA MSM were included in the RDS survey. The estimated population size was 4917 (95% CI 1267-28,771), using a flat prior estimated 1882 (95% CI 919-2463) as a lower acceptable bound, and a large prior estimated 6762 (95% CI 1994-13,863) as an acceptable upper bound. Point estimates from the SS-PSE were consistent with estimates from multiplier methods using external data. The SS-PSE method is easily integrated into RDS studies and therefore provides a simple and appealing tool to rapidly produce estimates of the size of key populations otherwise difficult to reach and enumerate.

Entities:  

Keywords:  African-American; HIV/AIDS; Men who have sex with men; Population size estimation; Respondent-driven sampling

Mesh:

Year:  2015        PMID: 26392276      PMCID: PMC4675739          DOI: 10.1007/s11524-015-9981-0

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  20 in total

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6.  Estimating population size, HIV prevalence and HIV incidence among men who have sex with men: a case example of synthesising multiple empirical data sources and methods in San Francisco.

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7.  HIV infection in men who have sex with men, New York City Department of Health sexually transmitted disease clinics, 1990-1999: a decade of serosurveillance finds that racial disparities and associations between HIV and gonorrhea persist.

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Authors:  Mark S Handcock; Krista J Gile; Corinne M Mar
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9.  Using social networks to reach Black MSM for HIV testing and linkage to care.

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10.  Assessing network scale-up estimates for groups most at risk of HIV/AIDS: evidence from a multiple-method study of heavy drug users in Curitiba, Brazil.

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Journal:  Am J Epidemiol       Date:  2011-10-14       Impact factor: 4.897

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  3 in total

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2.  Generalizing the Network Scale-Up Method: A New Estimator for the Size of Hidden Populations.

Authors:  Dennis M Feehan; Matthew J Salganik
Journal:  Sociol Methodol       Date:  2016-09-20

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
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