Publication related to RSI or an RSI staff member

Modeling the public health system response to a terrorist event in the food supply.

Authors

  • Hartnett, Emma, Hartnett E, Risk Sciences International, 449 Sussex Drive, Suite 200, Ottawa, ON K1N 6Z4, Canada. ehartnett@analyzerisk.com

  • Paoli, Gregory M, Paoli GM,

  • Schaffner, Donald W, Schaffner DW,

YEAR OF PUBLICATION: 2009
SOURCE: Risk Anal. 2009 Nov;29(11):1506-20. doi: 10.1111/j.1539-6924.2009.01286.x. Epub 2009 Aug 28.
JOURNAL TITLE ABBREVIATION: Risk Anal
JOURNAL TITLE: Risk analysis : an official publication of the Society for Risk Analysis
ISSN: 1539-6924 (Electronic) 0272-4332 (Linking)
VOLUME: 29
ISSUE: 11
PAGES: 1506-20
PLACE OF PUBLICATION: United States
ABSTRACT:

We have developed a simulation model to quantify and characterize the response of the public health system and the impact of public health advisories in the event of an intentional contamination of the food supply. The model has three components: (1) definition of individual exposure over time and the outcomes of exposure, (2) definition of the geographical dispersal of exposures, and (3) response of the public health authorities to symptomatic individuals. The model explicitly considers the variation in the multiple interrelated facets of the response system, including differences among individuals' responses to exposure, variation between health care providers, and the subsequent processing of samples and confirmation of cases. To illustrate use of the model, case studies with Escherichia coli O157:H7 and Salmonella spp. in three categories of food vehicle were compared. The level of detail required to run the public health component of the model is not trivial. While some data may not be available for hazards of particular interest in potential bioterrorism events, the application of expert judgment permits comparisons between different agents, different system reactions, and other assumptions within the system. The model provides the capacity to study the impact of system changes, to compare scenarios and to quantify the benefits of improvement in terms of averted exposures and risk reduction, and constitutes a significant aid to understanding and managing these threats. Essentially, the model provides an explicit valuation of time saved in the identification and intervention in terrorist events in the food supply.

LANGUAGE: eng
DATE OF PUBLICATION: 2009 Nov
DATE OF ELECTRONIC PUBLICATION: 20090828
DATE COMPLETED: 20100112
DATE REVISED: 20091105
MESH DATE: 2010/01/13 06:00
EDAT: 2009/09/08 06:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
LOCATION IDENTIFIER: 10.1111/j.1539-6924.2009.01286.x [doi]
OWNER: NLM

Related RSI Experts

Greg Paoli

CEO, Principal Risk Scientist

Greg Paoli is the CEO and Principal Risk Scientist at Risk Sciences International (RSI), a firm he co-founded in 2006 following the integration of his earlier consultancy, Decisionalysis Risk Consultants, with the consulting activities of the McLaughlin Centre for Population...
Read More about Greg Paoli

Emma Hartnett

Vice-President Risk Modelling and Simulation

Dr. Emma Hartnett is Vice-President, Risk Modelling and Simulation at Risk Sciences International (RSI), where she has been a foundational member since its inception in 2006. A globally recognized authority in quantitative risk assessment (QRA), she specializes in developing risk...
Read More about Emma Hartnett