You are here

Event Modeling

Event Modeling

The Food Protection and Defense Institute is a multi-disciplinary and action-oriented research consortium. Collaborations have been established at over 40 academic and private sector organizations.

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

 


 

Current Projects

Food Product Tracing Technology Capabilities and Interoperability

Principal Investigator: 
Tejas Bhatt; Jennifer (Previous PI) McEntire
Despite the best efforts of food safety professionals, contaminated food continues to enter the food supply. It is imperative that contaminated food be removed from the supply chain as quickly as possible to protect public health and stabilize markets. In addition to findings highlighted in the...

Modeling Health Care Surge Capacity Requirements during an Intentional Attack on the Food Supply

Principal Investigator: 
Emma Hartnett
Intentional attacks on the food supply can potentially have catastrophic impacts on the health of the population. In localized events the ability to expand health care to sudden, and potentially prolonged, demand is of great concern. Building upon the project team's previous experience in...

Examining Food Risk in the Large Using a Complex, Networked System-of-Systems Approach

Principal Investigator: 
John Ambrosiano
Our food production infrastructure is a highly complex system of systems (SOS). Many of the foods we eat are complex, manufactured products with many constituent ingredients, any one of which could be a source of contamination. The supply-distribution links connecting these systems are themselves...

Characterizing the Potential Use of Consumer Complaints Surveillance for the Early Detection of Foodborne Illness Events

Principal Investigator: 
Craig Hedberg
Rapid detection of foodborne illness events remains a challenging activity that has important implications for response and recovery efforts. The recent large scale outbreaks involving a myriad of food items such as peanuts, peanut butter, tomatoes, and peppers, illustrate of the challenges of...

Modeling Sampling Strategies for Detecting Intentional Contamination of Imported Food Systems

Principal Investigator: 
Randall Singer
Significant quantities of fresh and frozen food are imported into the U.S. each year. In particular, fruits, vegetables and seafood are imported from countries around the world, and once these products arrive into the U.S., they are broadly distributed and either consumed directly or used as...

Optimized Detection of Intentional Contamination Using Simulation Modeling

Principal Investigator: 
Don Schaffner
The goal of this project is to develop a computer simulation model which allows the user to specify the container size, contamination prevalence, agent concentration and agent distribution. The model will be able to address differing sampling requirements for agents able to cause illness at very...

Modeling the Public Health System Response to a Terrorist Event

Principal Investigator: 
Don Schaffner
The objective of this project was to conduct simulation modeling of the public health system, specifically focusing on the detection of deliberate food contamination events by the public health system, and the response of that system to such events. The simulation model can be used to evaluate the...

Public Health Investigation of Multistate Foodborne Outbreaks

Principal Investigator: 
Craig Hedberg
Purpose: These CIFOR multi-jurisdictional guidelines are intended to help improve communication and coordination between agencies investigating multi-jurisdictional outbreaks at all levels of governmental organization. The guidelines are proposed to help agencies identify multijurisdictional...

Pages

Subscribe to RSS - Event Modeling