Syndromic Surveillance as a paradigm for SHM data fusion

S. Deering, G. Manson, K. Worden, D. W. Allen, C. R. Farrar, J. S. Lombardo

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

Abstract

In the Public Health Informatics community, the discipline of Disease Surveillance or Syndromic Surveillance has emerged as a powerful means of tracking the initiation and progression of disease epidemics and also identifying acts and programmes of bio-terrorism. The discipline is based on the concept of fusing data from radically disparate sources, from school attendance records, through to public prescription records and the results of internet surveys. The object of this paper is to investigate if the syndromic surveillance concept can provide a paradigm for Structural Health Monitoring (SHM) data fusion. The paper considers the application of the ideas in the basic damage identification scenario and speculates on the possible use of the technology in the arena of systems-of-systems.

Original languageEnglish (US)
Title of host publicationProceedings of the 4th European Workshop on Structural Health Monitoring
Pages998-1014
Number of pages17
StatePublished - Dec 1 2008
Event4th European Workshop on Structural Health Monitoring - Cracow, Poland
Duration: Jul 2 2008Jul 4 2008

Publication series

NameProceedings of the 4th European Workshop on Structural Health Monitoring

Other

Other4th European Workshop on Structural Health Monitoring
CountryPoland
CityCracow
Period7/2/087/4/08

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Safety, Risk, Reliability and Quality

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