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Automated biosurveillance data from England and Wales, 1991–2011
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Enki, Doyo G., Noufaily, Angela, Garthwaite, Paul H., Andrews, Nick J., Charlett, André, Lane, Chris and Farrington, C. Paddy (2013) Automated biosurveillance data from England and Wales, 1991–2011. Emerging Infectious Diseases, 19 (1). pp. 35-42. doi:10.3201/eid1901.120493 ISSN 1080-6059.
An open access version can be found in:
Official URL: http://dx.doi.org/10.3201/eid1901.120493
Abstract
Outbreak detection systems for use with very large multiple surveillance databases must be suited both to the data available and to the requirements of full automation. To inform the development of more effective outbreak detection algorithms, we analyzed 20 years of data (1991–2011) from a large laboratory surveillance database used for outbreak detection in England and Wales. The data relate to 3,303 distinct types of infectious pathogens, with a frequency range spanning 6 orders of magnitude. Several hundred organism types were reported each week. We describe the diversity of seasonal patterns, trends, artifacts, and extra-Poisson variability to which an effective multiple laboratory-based outbreak detection system must adjust. We provide empirical information to guide the selection of simple statistical models for automated surveillance of multiple organisms, in the light of the key requirements of such outbreak detection systems, namely, robustness, flexibility, and sensitivity.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Statistics and Epidemiology Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
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Journal or Publication Title: | Emerging Infectious Diseases | ||||
Publisher: | US Department of Health and Human Services | ||||
ISSN: | 1080-6059 | ||||
Official Date: | January 2013 | ||||
Dates: |
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Volume: | 19 | ||||
Number: | 1 | ||||
Page Range: | pp. 35-42 | ||||
DOI: | 10.3201/eid1901.120493 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Open Access Version: |
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