logo BDSP

Base documentaire

  1. Simulation modeling for microbial risk assessment.

    Article, Communication - En anglais

    IAMFES Annual Meeting. Orlando, FL, USA, 1997/07/06.

    Quantitative microbial risk assessment implies an estimation of the probability and impact of adverse health outcomes due to microbial hazards.

    In the case of food safety, the probability of human illness is a complex function of the variability of many parameters that influence the microbial environment, from the production to the consumption of a food.

    The analytical integration required to estimate the probability of foodborne illness is intractable in all but the simplest of models.

    Monte Carlo simulation is an alternative to computing analytical solutions.

    In some cases, a risk assessment may be commissioned to serve a larger purpose than simply the estimation of risk.

    A Monte Carlo simulation can provide insights into complex processes that are invaluable, and otherwise unavailable, to those charged with the task of risk management.

    Using examples from a farm-to-fork model of the fate of Escherichia coli O157 : H7 in ground beef hamburgers, this paper describes specifically how such goals as research prioritization, risk-based characterization of control points, and risk-based comparison of intervention strategies can be objectively achieved using Monte Carlo simulation.

    Mots-clés Pascal : Homme, Modèle simulation, Méthode Monte Carlo, Relation dose réponse, Viande hachée, Etude sur modèle, Contamination biologique, Escherichia coli, Enterobacteriaceae, Bactérie, Pathogène, Analyse risque, Produit carné, Produit alimentaire, Alimentation, Modélisation

    Mots-clés Pascal anglais : Human, Simulation model, Monte Carlo method, Dose activity relation, Minced meat, Model study, Biological contamination, Escherichia coli, Enterobacteriaceae, Bacteria, Pathogenic, Risk analysis, Meat product, Foodstuff, Feeding, Modeling

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

    Cote : 99-0059915

    Code Inist : 002B03H. Création : 31/05/1999.