Estimation of incidence of HIV infection using cross-sectional marker surveys. NLM AIDSLINE Important note: Information in this article was accurate in 1995. The state of the art may have changed since the publication date.

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Estimation of incidence of HIV infection using cross-sectional marker surveys.

Biometrics. 1994 Sep;50(3):675-88. Unique Identifier : AIDSLINE MED/95072225
Statten GA; Longini IM Jr; Division of HIV/AIDS, Centers for Disease Control and Prevention,; Atlanta, Georgia 30333.

Abstract: Methods of estimating the probability density function of infection times for a population, using serial cross-sectional measurements of a marker of disease progression, are presented. The infection time distribution may be calculated back to the beginning of the epidemic, if it is possible to sample individuals who were infected at the beginning of the epidemic; otherwise, under a Markov assumption, the infection time distribution may be calculated conditional on infection after sampling has begun. In either case, the proportion of prevalent cases infected in an arbitrary time interval between the onset and termination of sampling may be measured. Data from the San Francisco Men's Health Study are analyzed; the infection time distribution compares well with that estimated by Bacchetti (1990, Journal of the American Statistical Association 85, 1002-1008) using stored sera from several San Francisco cohort studies.
Keywords: Biological Markers Biometry Cross-Sectional Studies CD4 Lymphocyte Count *Health Surveys Human HIV Infections/*EPIDEMIOLOGY/IMMUNOLOGY HIV Seropositivity/*EPIDEMIOLOGY/IMMUNOLOGY HIV Seroprevalence Incidence Male *Models, Statistical Probability San Francisco Support, U.S. Gov't, P.H.S. Time Factors JOURNAL ARTICLEKWDbiologicalmarkersbiometrycross-sectionalstudiescd4lymphocytecountKWDhealthsurveyshumanhivinfections/KWDepidemiology/immunologyhivseropositivity/KWDepidemiology/immunologyhivseroprevalenceincidencemaleKWDmodels,statisticalprobabilitysanfranciscosupport,uKWDsKWDgov't,pKWDhKWDsKWDtimefactorsjournalarticle
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M9530795

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