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BIOSURVEILLANCE
2008
Springer

A Temporal Extension of the Bayesian Aerosol Release Detector

9 years 1 months ago
A Temporal Extension of the Bayesian Aerosol Release Detector
Early detection of bio-terrorist attacks is an important problem in public health surveillance. In this paper, we focus on the detection and characterization of outdoor aerosol releases of Bacillus anthracis. Recent research has shown promising results of early detection using Bayesian inference from syndromic data in conjunction with meteorological and geographical data [1]. Here we propose an extension of this algorithm that models multiple days of syndromic data to better exploit the temporal characteristics of anthrax outbreaks. Motivations, mechanism and evaluation of our proposed algorithm are described and discussed. An improvement is shown in timeliness of detection on simulated outdoor aerosol Bacillus anthracis releases.
Xiaohui Kong, Garrick L. Wallstrom, William R. Hog
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where BIOSURVEILLANCE
Authors Xiaohui Kong, Garrick L. Wallstrom, William R. Hogan
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