Event Modeling
The goal of the Event Modeling theme is to develop dynamic, real-world models of both food contamination events and public health responses. These models rapidly identify sources of contamination, food distribution points, and possible outbreak locations, and can also demonstrate interventions and responses using novel communication systems and actual data from food distribution; food consumption, and epidemiologic studies.
Event Modeling Theme Leader
Don Schaffner, Rutgers University
Current Projects
Food Product Tracing Technology Capabilities and Interoperability
Jennifer McEntire, Institute of Food Technologists
Modeling Health Care Surge Capacity Requirements During an Intentional Attack on the Food Supply
Emma Hartnett, Risk Sciences International
Completed Projects
Characterizing the Potential Use of Consumer Complaints Surveillance for the Early Detection of Foodborne Illness Events
Craig Hedberg, University of Minnesota
Consequence Management System
Jeff Sholl, BT Safety LLC
Conversion of the Academic CMS to a Web-Enabled Version for Academic Use
Sue Harlander, BT Safety LLC
Evaluation of Timelines for Botulism Outbreaks
Craig Hedberg, University of Minnesota
Examining Food Risk in the Large Using a Complex, Networked System-of-Systems Approach
John Ambrosiano, Los Alamos National Laboratory
Modeling the Public Health System Response to a Terrorist Event
Don Schaffner, Rutgers University
Craig Hedberg, University of Minnesota
Optimized Detection of Intentional Contamination Using Simulation Modeling
Don Schaffner, Rutgers University
Craig Hedberg, University of Minnesota
Public Health Investigation of Multistate Foodborne Outbreaks
Craig Hedberg, University of Minnesota
Vulnerability Assessment and Reduction of Economic Impact for the Fruit and Vegetable Industry: A Food Defense Assessment for Border Communities in the Southwest United States
William Nganje, Arizona State University