title: Plenary lecture: innovative modeling approaches applicable to risk assessments.
abstract: Proper identification of safe and unsafe food at the processing plant is important for maximizing the public health benefit of food by ensuring both its consumption and safety. Risk assessment is a holistic approach to food safety that consists of four steps: 1) hazard identification; 2) exposure assessment; 3) hazard characterization; and 4) risk characterization. Risk assessments are modeled by mapping the risk pathway as a series of unit operations and associated pathogen events and then using probability distributions and a random sampling method to simulate the rare, random, variable and uncertain nature of pathogen events in the risk pathway. To model pathogen events, a rare event modeling approach is used that links a discrete distribution for incidence of the pathogen event with a continuous distribution for extent of the pathogen event. When applied to risk assessment, rare event modeling leads to the conclusion that the most highly contaminated food at the processing plant does not necessarily pose the highest risk to public health because of differences in post-processing risk factors among distribution channels and consumer populations. Predictive microbiology models for individual pathogen events can be integrated with risk assessment models using the rare event modeling method.
authors.affiliation: US Department of Agriculture, Agricultural Research Service, Microbial Food Safety Research Unit, Center for Food Science and Technology University of Maryland, Eastern Shore, Princess Anne, MD 21853, USA. thomas.oscar@ars.usda.gov
authors.forename: T P
authors.initials: TP
authors.lastname: Oscar
mesh_terms: D005516:Food Microbiology / Q000379:methods*; D008954:Models, Biological; D011634:Public Health / Q000379:methods*; D018570:Risk Assessment / Q000379:methods*