@article{ref1,
title="A multi-data source surveillance system to detect a bioterrorism attack during the G8 Summit in Scotland",
journal="Epidemiology and infection",
year="2007",
author="Meyer, N. and McMenamin, J. and Robertson, C. and Donaghy, Michael and Allardice, G. and Cooper, David",
volume="136",
number="7",
pages="876-885",
abstract="SUMMARY: 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 &amp; Emergency (A&amp;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.</p> <p>Language: en</p>",
language="en",
issn="0950-2688",
doi="10.1017/S0950268807009132",
url="http://dx.doi.org/10.1017/S0950268807009132"
}