313941
A benchmark system to optimize our defense against an attack on the U.S. food supply using computer simulation modeling
METHODS: A computerized simulation model was developed to measure the effectiveness of responding to food system attacks based on current levels of performance (prevention, protection, response and recovery) in reducing morbidities and mortalities resulting from a food terrorist attack. Preliminary validation was established using table top and functional exercises from participants representing federal, state, local and private sector organizations.
RESULTS: The model showed that if the attack had not been mitigated, then the consequences would have been over 70,000 illnesses and 40,000 mortalities spread around Georgia, Florida and South Carolina. The combined effects of the detection of the contaminant, stop movement/stop sale of the product and the public service announcement to the appropriate media reduced morbidities and mortalities by approximately 60%. The total number of cities that would have been involved in the incident decreased from seventy three to forty seven, therefore reducing the human health impact to be within a range that is much more manageable with immediately available health care resources.
CONCLUSIONS: The results of the model provide justification for funding related to public health investments to improve operational effectiveness of public and private sectors in preventing and responding to food terror attacks.
Learning Areas:
Administer health education strategies, interventions and programsEpidemiology
Occupational health and safety
Planning of health education strategies, interventions, and programs
Learning Objectives:
Assess multi-agency local, state and federal response coordination throughout a food terrorism incident. Evaluate the effectiveness of actions taken by all players in mitigating the outcome of the incident.
Keyword(s): Bioterrorism
Organization/institution whose products or services will be discussed: N/A
Qualified on the content I am responsible for because: I am qualified to be an abstract Author on the content I am responsible for because: I have a BS in Chemistry and a M.S. in Toxicology. I am currently a doctoral candidate in public health and this study is my dissertation research project.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.