A multi-data source surveillance system to detect a bioterrorism attack during the G8 summit in Scotland

N. Meyer, J. McMenamin, C. Robertson, M. Donaghy, G. Allardice, D. Cooper

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Abstract

In 18 weeks, Health Protection Scotland (HPS) deployed a syndromic surveillance system to early-detect natural or intentional disease outbreaks during the G8 Summit 2005 at Gleneagles, Scotland. The system integrated clinical and non-clinical datasets. Clinical datasets included Accident and Emergency (A and E) syndromes, and General Practice (GPs) codes grouped into syndromes. Non-clinical data included telephone calls to a nurse helpline, laboratory test orders, and hotel staff absenteeism. A cumulative sum-based detection algorithm and a log-linear regression model identified signals in the data. The system had a fax-based track for real-time identification of unusual presentations. Ninety-five signals were triggered by the detection algorithms and four forms were faxed to HPS. Thirteen signals were investigated. The system successfully complemented a traditional surveillance system in identifying a small cluster of gastroenteritis among the police force and triggered interventions to prevent further cases.
Original languageEnglish
Pages (from-to)876-885
Number of pages10
JournalInfection and Epidemiology
Volume136
Issue number07
DOIs
Publication statusPublished - Jul 2008

Keywords

  • surveillance system
  • bioterrorism
  • epidemiology
  • mathematics
  • statistics
  • g8 summit

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