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Predicting undetected infections during the 2007 foot-and-mouth disease outbreak

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Jewell, Chris P., Keeling, Matthew James and Roberts, Gareth O.. (2009) Predicting undetected infections during the 2007 foot-and-mouth disease outbreak. Journal of the Royal Society Interface, Vol.6 (No.41). pp. 1145-1151. ISSN 1742-5689

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1098/rsif.2008.0433

Abstract

Active disease surveillance during epidemics is of utmost importance in detecting and eliminating new cases quickly, and targeting such surveillance to high-risk individuals is considered more efficient than applying a random strategy. Contact tracing has been used as a form of at-risk targeting, and a variety of mathematical models have indicated that it is likely to be highly efficient. However, for fast-moving epidemics, resource constraints limit the ability of the authorities to perform, and follow up, contact tracing effectively. As an alternative, we present a novel real-time Bayesian statistical methodology to determine currently undetected (occult) infections. For the UK foot-and-mouth disease (FMD) epidemic of 2007, we use real-time epidemic data synthesized with previous knowledge of FMD outbreaks in the UK to predict which premises might have been infected, but remained undetected, at any point during the outbreak. This provides both a framework for targeting surveillance in the face of limited resources and an indicator of the current severity and spatial extent of the epidemic. We anticipate that this methodology will be of substantial benefit in future outbreaks, providing a compromise between targeted manual surveillance and random or spatially targeted strategies.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
S Agriculture > SF Animal culture
Divisions: Faculty of Science > Life Sciences (2010- )
Faculty of Science > Mathematics
Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Foot-and-mouth disease -- Great Britain -- Statistics, Foot-and-mouth disease -- Epidemiology -- Great Britain, Bayesian statistical decision theory
Journal or Publication Title: Journal of the Royal Society Interface
Publisher: The Royal Society
ISSN: 1742-5689
Date: 6 December 2009
Volume: Vol.6
Number: No.41
Number of Pages: 7
Page Range: pp. 1145-1151
Identification Number: 10.1098/rsif.2008.0433
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Wellcome Trust (London, England)
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URI: http://wrap.warwick.ac.uk/id/eprint/17011

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