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United States Department of Agriculture

Agricultural Research Service

Title: Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data)

Author
item Chen, Luhie
item Dubrawski, Artur
item Saswatie, Ray
item Baysek, Michael
item Kelley, Lynda
item Dunham, Adrienne
item Huckabee, Mark
item Cray, Paula
item Jackson, Charlene
item Mcglinchey, Beth

Submitted to: Meeting Abstract
Publication Type: Proceedings
Publication Acceptance Date: 11/8/2008
Publication Date: 11/8/2008
Citation: Chen, L., Dubrawski, A.W., Saswatie, R., Baysek, M., Kelley, L., Dunham, A., Huckabee, M., Cray, P.J., Jackson, C.R., Mcglinchey, B. 2008. Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data. American Medical Informatics Association 2008 Annual Symposium. Nov. 8-12, 2008. Washington, DC.

Interpretive Summary:

Technical Abstract: We present a new tool to enable computationally efficient visualization of data and its spatio-temporal analysis by food safety and public health investigators. Its utility is evaluated in two contexts: (1) Investigation of relationships between cases of Salmonella related human illness and Salmonella positives in meat and poultry products at USDA regulated establishments; (2) Identification and detection of patterns in food safety data.

Last Modified: 8/24/2016
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