155023
Modeling HIV prevalence estimates in California
Wednesday, November 7, 2007
Thomas Stopka, MHS
,
Epidemiologic Studies Section, California Department of Health Services, Office of AIDS, Sacramento, CA
Fred Molitor, PhD
,
Walter R. McDonald & Associates, Inc., Sacramento, CA
Juan Ruiz, MD, DrPH
,
Office of AIDS, California Department of Health Services, Sacramento, CA
Background: Health departments typically depend on HIV/AIDS Surveillance data to monitor the HIV/AIDS epidemic. New HIV estimation software permits systematic assessment of concentrated epidemics. The goal of this study was to estimate HIV prevalence among men and women aged 15-49 years in California. Methods: The WHO/UNAIDS Workbook Method was used to estimate and project adult HIV prevalence. U.S. Census data were used to obtain age and gender-specific estimates for California populations. Population and HIV prevalence estimates for MSM, MSM-IDUs, IDUs, and low-risk heterosexuals were obtained from published articles, results of a statewide meeting of HIV/AIDS researchers, and the CDHS Office of AIDS. Numbers of HIV-positive men and women were estimated for each at-risk group and then aggregated. Low and high HIV prevalence estimates were calculated. Results: Nearly 18 million adults aged 15-49 lived in California in 2006. The estimated number of persons living with HIV in the state was between 54,883 and 205,916 (mean=119,197). HIV prevalence was 0.67%. More than 90% of infections were among men. The largest number of persons with HIV across California were MSM (45,000 to 162,000), MSM-IDUs (5,000 to 22,500) and IDUs (1,800 to 12,500). Conclusions: HIV prevalence estimates for California, using the WHO/UNAIDS Workbook Method, provide an enhanced understanding of the statewide HIV/AIDS epidemic. Estimation techniques may be particularly useful for public health jurisdictions and regions that do not yet have well established HIV/AIDS surveillance systems. A unique advantage of the estimation software is that it allows for systematic forecasting of future HIV/AIDS trends.
Learning Objectives: 1. Discuss the software used and the data sources and inputs required to calculate HIV prevalence estimates.
2. Describe the procedures utilized to calculate HIV prevalence estimates and trend forecasts.
3. Analyze results from the Califoria HIV estimation model and describe other applications of the methodology.
Keywords: HIV/AIDS, Surveillance
Presenting author's disclosure statement:Any relevant financial relationships? No Any institutionally-contracted trials related to this submission?
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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