Modeling HIV risk. NLM AIDSLINE Important note: Information in this article was accurate in 2000. The state of the art may have changed since the publication date.

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Modeling HIV risk.

J Acquir Immune Defic Syndr. 1999 Nov 1;22(3):280-7. Unique Identifier : AIDSLINE MED/20231118
Bell DC; Trevino RA; Affiliated Systems Corporation, Houston, Texas, USA.; dbell@affiliatedsystems.com


Abstract: OBJECTIVE: To provide HIV risk estimates for specific local population subgroups using an HIV risk index combining HIV risk behaviors, prevalence rates, and transmission probabilities. METHODS: A sample of 270 individuals was studied. Respondents described sexual and injection risk behaviors and partners in the previous 30 days. An HIV risk index was computed for each individual, combining reported sexual and injecting risk behaviors, HIV prevalence estimates for partners and HIV transmission probabilities for each of the risk behaviors. Partner HIV prevalence rates were estimated from a national sample, and HIV transmission probabilities were obtained from previously published studies. RESULTS: Projected risk estimates were found to differ a great deal within major demographic categories. Highest 10-year risk was found among African-American male gay injectors (72%) and the lowest among white male heterosexual noninjectors (<.01%). CONCLUSIONS: The method used here for estimating HIV risk can be calculated for specific at-risk population subgroups of any size and composition, including individuals. By understanding which specific subpopulations are at risk, specific interventions and public health campaigns may be better targeted.


Keywords: JOURNAL ARTICLE Adult Caucasoid Race Condoms Educational Status Female Homosexuality Human HIV Infections/*EPIDEMIOLOGY/TRANSMISSION Male Middle Age *Models, Biological Negroid Race Prevalence Risk Factors Sex Behavior Socioeconomic Factors Substance Abuse, Intravenous/COMPLICATIONS Support, U.S. Gov't, P.H.S.KWDjournalarticleadultcaucasoidracecondomseducationalstatusfemalehomosexualityhumanhivinfections/KWDepidemiology/transmissionmalemiddleageKWDmodels,biologicalnegroidraceprevalenceriskfactorssexbehaviorsocioeconomicfactorssubstanceabuse,intravenous/complicationssupport,uKWDsKWDgov't,pKWDhKWDs
000730
A0071416

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