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.
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...
| Publicado en: | Journal of Urban Health Vol. 92; no. 6; pp. 1052 - 1065 |
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| Autores principales: | , , , , , |
| Formato: | journal article |
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Springer Nature
Dec2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=111505333&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 111505333 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10993460 GMF jtl: Journal of Urban Health issn: 10993460 maglogo: N pubinfo: dt: Dec2015 vid: 92 iid: 6 pid: 237 pub: Springer Nature artinfo: ui: 111505333 10.1007/s11524-015-9981-0 ppf: 1052 ppct: 13 formats: fmt: @attributes: type: P size: 281KB tig: atl: 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. aug: au: Wesson, Paul Handcock, Mark McFarland, Willi Raymond, H. Handcock, Mark S Raymond, H Fisher affil: University of California, Berkeley, 101 Haviland Hall Berkeley 94720-7358 USA University of California, Los Angeles, 8125 Mathematical Sciences Building Los Angeles 90095-1554 USA San Francisco Department of Public Health, 25 Van Ness Ave, Suite 500 San Francisco 94102 USA University of California, Los Angeles, 8125 Mathematical Sciences Building, Los Angeles, CA, 90095-1554, USA San Francisco Department of Public Health, 25 Van Ness Ave, Suite 500, San Francisco, CA, 94102, USA su: San Francisco (Calif.) California Men who have sex with men Sexually transmitted diseases African Americans Diseases Statistics on Black people Age distribution Homosexuality Human sexuality Socioeconomic factors HIV infections HIV infection epidemiology Comparative studies Research methodology Medical cooperation Probability theory Research Research funding Statistical sampling Evaluation research sug: subj: Men who have sex with men Sexually transmitted diseases African Americans Diseases Statistics on Black people Age distribution Homosexuality Human sexuality Socioeconomic factors San Francisco (Calif.) California Marketing Research and Public Opinion Polling HIV infections HIV infection epidemiology Comparative studies Research methodology Medical cooperation Probability theory Research Research funding Statistical sampling Evaluation research keyword: African-American HIV/AIDS Population size estimation Respondent-driven sampling African-American HIV/AIDS Population size estimation Respondent-driven sampling ab: 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. pubtype: Academic Journal doctype: journal article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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