Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food...
Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food Sources Using Outbreak Data, United States
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Publisher
United States: U.S. National Center for Infectious Diseases
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Language
English
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Publication information
Publisher
United States: U.S. National Center for Infectious Diseases
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Scope and Contents
Contents
Foodborne illness source attribution is foundational to a risk-based food safety system. We describe a method for attributing US foodborne illnesses caused by nontyphoidal Salmonella enterica, Escherichia coli O157, Listeria monocytogenes, and Campylobacter to 17 food categories using statistical modeling of outbreak data. This method adjusts for e...
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Full title
Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food Sources Using Outbreak Data, United States
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_a1c7436b2e8842308766daf4c11c6f00
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a1c7436b2e8842308766daf4c11c6f00
Other Identifiers
ISSN
1080-6040
E-ISSN
1080-6059
DOI
10.3201/eid2701.203832
