Improving Attribution Through Partnership
Interagency Food Safety Analytics Collaboration (IFSAC)
While CDC does not have regulatory authority for many food safety policies, the data that CDC collects and shares can influence policy and programmatic development through FDA and FSIS.
CDC partnered with the Food and Drug Administration (FDA) and the US Department of Agriculture, Food Safety and Inspection Service (FSIS) in 2011 to form the Interagency Food Safety Analytics Collaboration (IFSAC). This tri-agency analytic collaboration focuses on foodborne illness source attribution. The group operates with the understanding that data improvements and development of multiple analytic methods are needed to generate good estimates across the broad range of food commodities and along all points in the food supply chain. More refined estimates will be provided in the future by bringing together additional data from across CDC, FDA and FSIS and evaluating methods for analyzing them.
CDC, FDA, and FSIS held a public meeting and developed a strategic plan for IFSAC that was presented in January 2012 1. Scientists from the three agencies collaborate and hold weekly telephone meetings on select projects to improve attribution estimates.
- Examining the limitations of attribution estimates calculated from outbreak data;
- Evaluating the potential usefulness of a pathogen subtype model to attribute Salmonella infections to food commodities;
- Improving the way foods are classified into food commodities, or categories;
- Developing standard approaches for using outbreak data to attribute illnesses caused by four major pathogens (Salmonella, Listeria, E. coli, and Campylobacter) to food commodities; and
- Determining the best approach to estimate the proportion of Salmonella enterica serotype Enteritidis infections attributable to shell eggs and other major commodities
IFSAC is committed to strong partnerships. Improvements in food safety depend on productive relationships between regulatory and non-regulatory partners—including industry, academia, and consumer groups—for data analysis, interpretation, and application.
Webinar #2: Progress toward Attribution of Foodborne Illness
- January 10, 2014
- Are Outbreak Illnesses Representative of Sporadic Illnesses?
- Presenters shared an analysis comparing the characteristics of illnesses associated with foodborne outbreaks with those that are not linked to outbreaks.
- Webinar | Webinar addendum [PDF – 1 page] | Presentation slides [PDF – 36 pages] | Presentation transcript [PDF - 12 pages]
Webinar #1: Improving the Categories Used to Classify Foods Implicated in Outbreaks
- June 18, 2013
- Improving the way foods implicated in foodborne disease outbreaks are classified.
- The tri-agency collaboration held its first webinar to discuss the improvements to the food categorization scheme used by regulatory agencies to inform food safety decision-making.
- Watch the webinar | Presentation slides [PDF - 36 pages] | Presentation transcript [PDF - 6 pages]
- Foodborne Disease Attribution, Oregon Department of Health
This site is an excellent resource highlighting efforts by the Foodborne Diseases Active Surveillance Network, or (FoodNet) to attribute enteric illnesses to food sources. It provides links to other experts in foodborne illness and a select bibliography [PDF - 1 page] .
- Food and Drug Administration's (FDA) Food Safety Modernization Act
- US Department of Agriculture, Food Safety and Inspection Service (FSIS), 2011-2016 Strategic Plan.
- European Food Safety Authority, Foodborne Zoonotic Diseases
- Hoffmann S, Batz MB, Morris JG Jr. Annual cost of illness and quality-adjusted life year losses in the United States due to 14 foodborne pathogens. J Food Prot. 2012 Jul;75(7):1292-302. doi: 10.4315/0362-028X.JFP-11-417.
- Batz MB, Hoffmann S, Morris JG Jr. Ranking the disease burden of 14 pathogens in food sources in the United States using attribution data from outbreak investigations and expert elicitation. J Food Prot. 2012 Jul;75(7):1278-91. doi: 10.4315/0362-028X.JFP-11-418. Erratum in: J Food Prot. 2012 Aug;75(8):1366.
- Guo C, Hoekstra RM, Schroeder CM, Pires SM, Ong KL, Hartnett E, Naugle A, Harman J, Bennett P, Cieslak P, Scallan E, Rose B, Holt KG, Kissler B, Mbandi E, Roodsari R, Angulo FJ, Cole D. Application of Bayesian techniques to model the burden of human salmonellosis attributable to U.S. food commodities at the point of processing: adaptation of a Danish model. Foodborne Pathog Dis. 2011 Apr;8(4):509-16. doi: 10.1089/fpd.2010.0714. Epub 2011 Jan 16.
- Painter JA, Ayers T, Woodruff R, Blanton E, Perez N, Hoekstra RM,et al. Recipes for foodborne outbreaks: a scheme for categorizing and grouping implicated foods. Foodborne Pathog Dis. 2009;6:1259–64
- Overview of methods for source attribution for human illness from foodborne microbiological hazards, The EFSA Journal (2008) [PDF - 43 pages]
The Interagency Food Safety Analytics Collaboration (IFSAC)
- IFSAC Draft Strategic Plan for Foodborne Illness Source Attribution [PDF - 16 pages] (January 2012)
- IFSAC Charter [PDF - 4 pages] (February 2011)
Partner and Public Meetings with Presentations
- Collaborative Food Safety Forum
- Food Source Attribution Public Meeting, USDA Public Meeting, Jan. 31, 2012
- Communicating About Attribution of Foodborne Illness, FDA Public Meeting, August 15-16, 2011
- FSIS Public Meeting: Attributing Illness to Food [PDF - 20 pages], April 5, 2007
- Food Safety Interventions and Food Attribution Workshop, April 26-27, 2005
- Linking Illness to Food: Summary of a Workshop on Food Attribution, 2004