IDENTIFYING THE MOST SIGNIFICANT MICROBIOLOGICAL FOODBORNE RISKS TO PUBLIC HEALTH: A NEW RISK-RANKING MODEL

This paper presents a decision-analytic model for ranking the social burden of foodborne illness. The availability a consistent, transparent model allowing use of alternative ranking criteria and data assumptions will facilitate discussions between agencies committed to different criteria. By use of multiple criteria, the model highlights overlooked food safety problems.


Issue Date:
2004
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/20291
Total Pages:
24
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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