NSF_biosurveillance07 (2007)

Josep Roure, Artur Dubrawski, Jeff Schneider

Tags

Biosurveillance, Multiple-Streams

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.

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Approximate BibTeX Entry

@inproceedings{rds_biosurv07,
    Year = {2007},
    Volume = {4506},
    Pages = {124--133},
    Publisher = {Springer},
    Booktitle = {Intelligence and Security Informatics: Biosurveillance},
    Editor = {Daniel Zeng et al.},
    Series = {LNCS},
    Author = { Josep Roure, Artur Dubrawski, Jeff Schneider },
    Title = {NSF_biosurveillance07}
}