A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data
Abstract
This paper reviews the results of a study into combining evidence from multiple streams of surveillance data in order to improve timeliness and specificity of detection of bio-events. In the experiments we used three streams of real food- and agriculture-safety related data that is being routinely collected at slaughter houses across the nation, and which carry mutually complementary information about potential outbreaks of bio-events. The results indicate that: (1) Non-specific aggregation of p-values produced by event detectors set on individual streams of data can lead to superior detection power over that of the individual detectors, and (2) Design of multi-stream detectors tailored to the particular characteristics of the events of interest can further improve timeliness and specificity of detection. In a practical setup, we recommend combining a set of specific multi-stream detectors focused on individual types of predictable and definable scenarios of interest, with non-specific multi-stream detectors, to account for both anticipated and emerging types of bio-events.
BibTeX
@workshop{Roure-2007-119825,author = {J. Roure and A. Dubrawski and J. Schneider},
title = {A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data},
booktitle = {Proceedings of NSF Workshop on Intelligence and Security Informatics (BioSurveillance '07)},
year = {2007},
month = {May},
pages = {124 - 133},
}