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

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dc.creatorHoffmann, Sandra A.
dc.creatorTaylor, Michael R.
dc.creatorMorris, Joe
dc.creatorKrupnick, Alan J.
dc.creatorBatz, Michael B.
dc.date2017-04-01T20:06:07Z
dc.date.accessioned2026-07-09T03:30:54Z
dc.descriptionThis 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.
dc.identifierdoi:10.22004/ag.econ.20291
dc.identifierhttps://ageconsearch.umn.edu/record/20291/files/sp04ho11.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/20291
dc.identifier.urihttp://hdl.handle.net/123456789/533929
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/20291
dc.titleIDENTIFYING THE MOST SIGNIFICANT MICROBIOLOGICAL FOODBORNE RISKS TO PUBLIC HEALTH: A NEW RISK-RANKING MODEL
dc.typeText

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