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  1. Fitting bivariate intensity functions, with an application to modelling delays in reporting acquired immune deficiency syndrome.

    Article - En anglais

    When estimating the incidence of acquired immune deficiency syndrome (AIDS), reporting delays can result in serious underestimation of recent diagnoses.

    Various bivariate intensity functions for non-homogeneous Poisson processes in the plane can be fitted as log-linear models.

    This is illustrated by application to such reporting delay data.

    It is shown that (quasi-) stationary models seriously overestimate recent AIDS diagnoses for England and Wales, and that a non-stationary model is more appropriate.

    Mots-clés Pascal : SIDA, Virose, Infection, Modèle mathématique, Intensité, Temps retard, Modèle loglinéaire, Erreur estimation, Incidence, Santé publique, Immunopathologie, Immunodéficit, Déclaration maladie

    Mots-clés Pascal anglais : AIDS, Viral disease, Infection, Mathematical model, Intensity, Delay time, Loglinear model, Estimation error, Incidence

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

    Cote : 96-0144329

    Code Inist : 002B06D01. Création : 199608.