ABSTRACT
Attributing food-borne illness outbreaks to specific food types can assist risk managers and policy makers in formulating public health goals, prioritizing interventions, and documenting the effectiveness of prevention efforts for reducing illness and improving public health. To assess risk, the USDA-FSIS adapted a Bayesian statistical model to quantify attribution of meat, poultry, and eggs as sources of human salmonellosis in the United States (Guo et al., 2007). Assessment of food product safety and attribution of food-borne illnesses requires extensive data, originating from a number of different sources.
