Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation

Min Zhang, Xiaohui Kong, Garrick L. Wallstrom

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

2 Scopus citations

Abstract

We developed a template-driven spatial-temporal multivariate outbreak simulator that can generate multiple data streams of outbreak data for evaluating detection algorithms used in disease surveillance systems. The simulator is controlled via intuitive parameters that describe features of the outbreak and surveillance system such as the elevated risk of disease, surveillance data coverage, case behavior probabilities, and the distribution of behavior times. We provide examples of temporal and spatial-temporal outbreak simulations. Our simulator is a useful tool for evaluating of outbreak detection algorithms.

Original languageEnglish (US)
Title of host publicationBiosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings
Pages155-163
Number of pages9
DOIs
StatePublished - Dec 1 2008
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)0302-9743
ISSN (Electronic)1611-3349

Other

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

Keywords

  • Multivariate biosurveillance data
  • Outbreak simulation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Zhang, M., Kong, X., & Wallstrom, G. L. (2008). Simulation of multivariate spatial-temporal outbreak data for detection algorithm evaluation. In Biosurveillance and Biosecurity - International Workshop, BioSecure 2008, Proceedings (pp. 155-163). (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_15