@inproceedings{fbc064eb4e5b4b04869061ac0c2dc383,
title = "Syndromic Surveillance as a paradigm for SHM data fusion",
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.",
author = "S. Deering and G. Manson and K. Worden and Allen, {D. W.} and Farrar, {C. R.} and Lombardo, {J. S.}",
year = "2008",
language = "English (US)",
isbn = "9781932078947",
series = "Proceedings of the 4th European Workshop on Structural Health Monitoring",
pages = "998--1014",
booktitle = "Proceedings of the 4th European Workshop on Structural Health Monitoring",
note = "4th European Workshop on Structural Health Monitoring ; Conference date: 02-07-2008 Through 04-07-2008",
}