A review of public health syndromic surveillance systems

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

12 Scopus citations

Abstract

In response to the critical need of early detection of potential infectious disease outbreaks or bioterrorism events, public health syndromic surveillance systems have been rapidly developed and deployed in recent years. This paper surveys major research and system development issues related to syndromic surveillance systems and discusses recent advances in this important area of security informatics study.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages249-260
Number of pages12
Volume3975 LNCS
Publication statusPublished - 2006
EventIEEE International Conference on Intelligence and Security Informatics, ISI 2006 - San Diego, CA, United States
Duration: May 23 2006May 24 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3975 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherIEEE International Conference on Intelligence and Security Informatics, ISI 2006
CountryUnited States
CitySan Diego, CA
Period5/23/065/24/06

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Yan, P., Zeng, D., & Chen, H. (2006). A review of public health syndromic surveillance systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3975 LNCS, pp. 249-260). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS).