A temporal extension of the Bayesian aerosol release detector

Xiaohui Kong, Garrick L. Wallstrom, William R. Hogan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages97-107
Number of pages11
Volume5354 LNBI
DOIs
StatePublished - 2008
Externally publishedYes
EventInternational Workshop on Biosurveillance and Biosecurity, BioSecure 2008 - Raleigh, NC, United States
Duration: Dec 2 2008Dec 2 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5354 LNBI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Workshop on Biosurveillance and Biosecurity, BioSecure 2008
CountryUnited States
CityRaleigh, NC
Period12/2/0812/2/08

Fingerprint

Bacilli
Aerosol
Aerosols
Detector
Detectors
Public health
Public Health
Multiple Models
Bayesian inference
Surveillance
Attack
Evaluation

Keywords

  • Anthrax outbreak
  • Bayesian inference
  • Spatial-temporal pattern recognition
  • Syndromic surveillance

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kong, X., Wallstrom, G. L., & Hogan, W. R. (2008). A temporal extension of the Bayesian aerosol release detector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5354 LNBI, pp. 97-107). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5354 LNBI). https://doi.org/10.1007/978-3-540-89746-0_10

A temporal extension of the Bayesian aerosol release detector. / Kong, Xiaohui; Wallstrom, Garrick L.; Hogan, William R.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5354 LNBI 2008. p. 97-107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5354 LNBI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kong, X, Wallstrom, GL & Hogan, WR 2008, A temporal extension of the Bayesian aerosol release detector. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 5354 LNBI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5354 LNBI, pp. 97-107, International Workshop on Biosurveillance and Biosecurity, BioSecure 2008, Raleigh, NC, United States, 12/2/08. https://doi.org/10.1007/978-3-540-89746-0_10
Kong X, Wallstrom GL, Hogan WR. A temporal extension of the Bayesian aerosol release detector. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5354 LNBI. 2008. p. 97-107. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-89746-0_10
Kong, Xiaohui ; Wallstrom, Garrick L. ; Hogan, William R. / A temporal extension of the Bayesian aerosol release detector. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5354 LNBI 2008. pp. 97-107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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