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Quantitative Risk Assessment for Microbiological Food Safety


This project aims to develop probabilistic approaches to describe and then predict the variation in physiological response of populations of a selected foodborne pathogen to environmental conditions. <P>
Novel approaches will be developed to handle limited uncertain datasets in quantitative risk assessment, and in particular to develop a framework for quantitative risk assessment of verotoxin- producing E. coli O157:H7. Techniques to be used will include Bayesian Belief Networks and Monte Carlo methods.

Institute of Food Research, UK
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