IFSAC Publications


Recency-Weighted Statistical Modeling Approach to Attribute Illnesses Caused by 4 Pathogens to Food Sources Using Outbreak Data, United States

Batz MB, Richardson LC, Bazaco MC, Parker CC, Chirtel SJ, Cole D, Golden NJ, Griffin PM, Gu W, Schmitt SK, Wolpert BJ, Zablotsky Kufel JS, Hoekstra RM. Recency-weighted statistical modeling approach to attribute illnesses caused by 4 pathogens to food sources using outbreak data, United States. Emerg Infect Dis. 2021 Jan; 27(1).


An Updated Scheme for Categorizing Foods Implicated in Foodborne Disease Outbreaks: A Tri-Agency Collaboration

Richardson LC, Bazaco MC, Parker CC, Dewey-Mattia D, Golden N, Jones K, Klontz K, Travis C, Zablotsky Kufel J, Cole D. An updated scheme for categorizing foods implicated in foodborne disease outbreaks: a tri-agency collaboration. Foodborne Pathog Dis. 2017 Dec 1; 14(12):701–710. DOI PubMed 


Comparing Characteristics of Sporadic and Outbreak-Associated Foodborne Illnesses, United States, 2004–2011

Ebel ED, Williams MS, Cole D, Travis CC, Klontz KC, Golden NJ, Hoekstra RM. Comparing characteristics of sporadic and outbreak-associated foodborne illnesses, United States, 2004–2011. Emerg Infect Dis. 2016;22(7):1193-1200.


Foodborne Illness Source Attribution Estimates for Salmonella, Escherichia coli O157, Listeria monocytogenes, and Campylobacter Using Outbreak Surveillance Data

Interagency Food Safety Analytics Collaboration. Foodborne illness source attribution estimates for Salmonella, Escherichia coli O157 (E. coli O157), Listeria monocytogenes (Lm), and Campylobacter using outbreak surveillance data. 2015 Feb.