Identification

Author

Meyer N, McMenamin J, Robertson C, Donaghy M, Allardice G, et al.

Title

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

Year

2008

Publication type

Article

Journal

Epidemiol Infect.

Created

2016-03-15 18:08:02.060702+00:00

Modified

2016-07-13 21:56:04.389588+00:00

Details

Volume

136

Number

7

Pages

876-85

Access

Language

English

URL http://www.ncbi.nlm.nih.gov/pubmed/17678556
DOI

10.1017/S0950268807009132

Accessed

2016-05-23

Extended information

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.