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 Publications

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