The traditional Poisson probability model for airborne Mycobacterium tuberculosis (M. tb) infection, also termed the Wells-Riley equation, can be modified to account for a health care worker's use of respiratory protection.
It was previously shown that the beta distribution on the interval [0,1] is a good descriptor of respirator penetration values experienced by an individual worker from wearing to wearing, and of average respirator penetration values experienced by different workers.
Based on the premise that the gamma distribution can reasonably describe the time-varying M. tb aerosol exposure levels experienced by health care workers, analytical solutions are presented for an individual worker's cumulative risk of infection, and for the worker population mean cumulative risk of infection, with and without use of respiratory protection.
The gamma distribution is shown to be similar to the lognormal in describing right-skewed distributions of aerosol exposure concentrations on the interval [0,).
Mots-clés Pascal : Mycobacterium tuberculosis, Mycobacteriaceae, Mycobacteriales, Actinomycetes, Bactérie, Exposition professionnelle, Tuberculose, Mycobactériose, Bactériose, Infection, Poumon, Analyse statistique, Loi Poisson, Personnel sanitaire, Facteur risque, Aérosol, Prévention, Médecine travail, Transmission homme homme, Homme, Appareil respiratoire pathologie, Poumon pathologie, Respirateur
Mots-clés Pascal anglais : Mycobacterium tuberculosis, Mycobacteriaceae, Mycobacteriales, Actinomycetes, Bacteria, Occupational exposure, Tuberculosis, Mycobacterial infection, Bacteriosis, Infection, Lung, Statistical analysis, Poisson distribution, Health staff, Risk factor, Aerosols, Prevention, Occupational medicine, Transmission from man to man, Human, Respiratory disease, Lung disease
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 96-0076650
Code Inist : 002B05B02O. Création : 199608.