Literature DB >> 17678556

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

N Meyer1, J McMenamin, C Robertson, M Donaghy, G Allardice, D Cooper.   

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 & Emergency (A&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.

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Mesh:

Year:  2007        PMID: 17678556      PMCID: PMC2870879          DOI: 10.1017/S0950268807009132

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  14 in total

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3.  A concept for routine emergency-care data-based syndromic surveillance in Europe.

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5.  Developing influenza and respiratory syncytial virus activity thresholds for syndromic surveillance in England.

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  6 in total

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