As the incidence of tuberculosis (TB) has increased in the United States, occupationally acquired TB has increased among the health care workers (HCWs).
This paper describes a model developed in response to the needs of an outbreak of multidrug-resistant TB.
One of the goals of the outbreak investigation was to estimate the risk of tuberculin skin test (TST) conversion as a function of HCW job type and the period during which persons were employed over the study period.
TST conversions were evaluated at periodic examinations and data are interval-censored.
We present a generalized linear model that extends Efron's survival model for censored survival data to the case of interval-censored data.
Mots-clés Pascal : Tuberculose, Mycobactériose, Bactériose, Infection, Etats Unis, Amérique du Nord, Amérique, Développement maladie, Modèle statistique, Résistance traitement, Médicament, Analyse risque, Tuberculine, Test cutané, Diagnostic, Exposition professionnelle, Simulation, Analyse donnée, Courbe survie
Mots-clés Pascal anglais : Tuberculosis, Mycobacterial infection, Bacteriosis, Infection, United States, North America, America, Disease development, Statistical model, Negative therapeutic reaction, Drug, Risk analysis, Tuberculin, Skin test, Diagnosis, Occupational exposure, Simulation, Data analysis, Survival curve
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0230248
Code Inist : 002B28B. Création : 11/06/1997.