Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data - Robotics Institute Carnegie Mellon University

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

Lujie Chen, Artur W. Dubrawski, Saswati Ray, Michael Baysek, Lynda Kelley, Adrienne Dunham, Mark Huckabee, Paula J. Fedorka-Cray, Charlene Jackson, and Beth McGlinchey
Conference Paper, Proceedings of AMIA Annual Symposium, pp. 900, November, 2008

Abstract

We present a prototype tool designed to enable computationally efficient visualization of data and its spatio-temporal analysis by food safety and public health investigators. Its utility is evaluated in the following 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 which may impact public health.

BibTeX

@conference{Chen-2008-121891,
author = {Lujie Chen and Artur W. Dubrawski and Saswati Ray and Michael Baysek and Lynda Kelley and Adrienne Dunham and Mark Huckabee and Paula J. Fedorka-Cray and Charlene Jackson and Beth McGlinchey},
title = {Detecting linkages between human illness and Salmonella isolates in food using a new tool for spatio-temporal analysis of multi-stream data},
booktitle = {Proceedings of AMIA Annual Symposium},
year = {2008},
month = {November},
pages = {900},
}