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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 - CARNEGIE-MELLON UNIV
item DUBRAWSKI, ARTUR - CARNEGIE-MELLON UNIV
item SASWATIE, RAY - CARNEGIE-MELLON UNIV
item BAYSEK, MICHAEL - CARNEGIE-MELLON UNIV
item KELLEY, LYNDA - USDA-FSIS
item DUNHAM, ADRIENNE - USDA-FSIS
item HUCKABEE, MARK - SCI APPLICATION INTERNATI
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.