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  1. A mathematical model for the prediction of the impact of HIV infection on tuberculosis.

    Article - En anglais

    A mathematical model is introduced to study the accelerating impact of HIV infection on the incidence rates of tuberculosis (TB) disease.

    A sexually active population (15-49 years) is followed cross-sectionally over a period of time.

    Beginning with the year in which HIV infection was probably first present in the population, the model calculates the growing yearly incidence rates of new TB disease in HIV-positive and in HIV-negative individuals.

    Model equations, derived by an actuarial method, are developed recursively.

    Mots-clés Pascal : Tuberculose, Mycobactériose, Bactériose, Infection, Epidémiologie, Incidence, Prédiction, Modèle mathématique, SIDA, Virose, Séropositivité, Homme, Age, Immunopathologie, Immunodéficit

    Mots-clés Pascal anglais : Tuberculosis, Mycobacterial infection, Bacteriosis, Infection, Epidemiology, Incidence, Prediction, Mathematical model, AIDS, Viral disease, Seropositivity, Human, Age, Immunopathology, Immune deficiency

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 94-0439859

    Code Inist : 002B05B02O. Création : 199406.