Bayesian multi-objective optimization for quantitative risk assessment in microbiology

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Basak, Subhasish | Bect, Julien | Guillier, Laurent | Tenenhaus-Aziza, Fanny | Christy, Janushan | Vazquez, Emmanuel

Edité par CCSD -

International audience. As a part of the European project ArtiSaneFood, the primary goal of this collaborative work between ANSES, CNIEL and L2S is to establish efficient bio-intervention strategies for cheese producers in France, in order to "economically" reduce the risk of Haemolytic Uremic Syndrome (HUS) caused by Shiga-Toxin producing Escherichia Coli (STEC) present in raw-milk soft cheese. This translates into a multi-objective optimization problem of a stochastic simulator based on a quantitative risk assessment (QRA) model proposed by Frédérique Perrin and co-authors in 2014, to estimate the Pareto optimal solutions for the process intervention parameters.

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