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Research Project:
EPIDEMIOLOGY, ECOLOGY, AND MOLECULAR GENETICS OF ANTIMICROBIAL RESISTANCE IN PATHOGENIC AND COMMENSAL BACTERIA FROM FOOD ANIMALS
Location: Bacterial Epidemiology and Antimicrobial Resistance
Title: Predictive Analytics for Safer Food Supply
Authors
 | Kelley, Lynda C - USDA-FSIS | | Dubrawski, Artur - CARNEGIE MELLON UNIV | | Chen, Lujie - CARNEGIE MELLON UNIV | |
Cray, Paula
| | Dunham, Adrienne - USDA-FSIS | | McGlinchey, Beth | | Huckabee, Mark - SCI APPLICATIONS INTL |
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: October 12, 2008
Publication Date: October 12, 2008
Citation: Kelley, L., Dubrawski, A., Chen, L., Cray, P.J., Dunham, A., Mcglinchey, B., Huckabee, M. 2008. Predictive Analytics for Safer Food Supply. Institute for Operations Research and the Management Sciences. October 12-15, 2008. Washington, DC.
Technical Abstract:
Science based risk analysis improves the USDA Food Safety Inspection Service’s ability to combat threats to public health from food-borne illness by allowing the Agency to focus resources on hazards that pose the greatest risk. Innovative algorithms enable detection and containment of threat by analysis of multiple streams of microbiological and sub-typing data, as well as data representing other risk factors such as inspection noncompliance, establishment sizes, and types of produced food.
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Last Modified: 05/23/2013
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