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A global Bayesian approach for quantitative risk assessment (QRA) from farm to illness - application to campylobacteriosis through broiler

Albert, Isabelle; Grenier, Emmanuel; Denis, Jean-Baptiste; Rousseau, Judith (2007), A global Bayesian approach for quantitative risk assessment (QRA) from farm to illness - application to campylobacteriosis through broiler, 5th International Conference of Predictive Modelling in Food, 2007-09, Athenes, Greece

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Type
Communication / Conférence
Date
2007
Conference title
5th International Conference of Predictive Modelling in Food
Conference date
2007-09
Conference city
Athenes
Conference country
Greece
Metadata
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Author(s)
Albert, Isabelle

Grenier, Emmanuel
Institut Polytechnique LaSalle Beauvais
Denis, Jean-Baptiste
Unité de recherche Mathématiques et Informatique Appliquées [MIA]
Rousseau, Judith
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
We propose a novel apprach to QMRA from farm to illness. The idea is to use Bayesian techniques in two main steps : (1) modelling the process of interest by a Bayesian network based on expert knowledge; (2) extending the model using the data available performing a Bayesian statistical analysis. Unlike the Monte Carlo simulation approach as commonly used in QMRA where data sets are used independently in each module, our approach incorporates information conveyed by data throughout the food chain.
Subjects / Keywords
bayesien; campylobacter; vollaille; bayesiean; poiltry