A probability-based approach for predicting HIV infection in a low prevalent population of injection drug users.

Cheng, F K; Ford, W L; Weber, M D; Cheng, S Y; Kerndt, P R

Cheng, F K; Ford, W L; Weber, M D; Cheng, S Y; Kerndt, P R.

Affiliation

Cheng FK; Los Angeles County Department of Health Services, HIV Epidemiology Program, CA 90005, USA.

Ann Epidemiol ; 7(1): 28-34, 1997 Jan.

Article in En | MEDLINE | ID: mdl-9034404

Subject(s)

HIV Infections/epidemiology; Needle Sharing/statistics & numerical data; Substance Abuse, Intravenous/epidemiology; Adult; Female; HIV Infections/transmission; HIV Seropositivity/epidemiology; HIV Seroprevalence; Humans; Logistic Models; Male; Models, Statistical; Risk Factors; Risk-Taking

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Collection: 01-internacional Database: MEDLINE Main subject: HIV Infections / Substance Abuse, Intravenous / Needle Sharing Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Language: En Journal: Ann Epidemiol Journal subject: EPIDEMIOLOGIA Year: 1997 Type: Article Affiliation country: United States

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