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Impact of regulatory perturbations to disease spread through cattle movements in Great Britain

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Vernon, Matthew C. and Keeling, Matt J.. (2012) Impact of regulatory perturbations to disease spread through cattle movements in Great Britain. Preventive Veterinary Medicine, Vol.105 (No.1-2). pp. 110-117. ISSN 0167-5877

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.prevetmed.2011.12.016

Abstract

During the past decade the British livestock industry has suffered from several major pathogen outbreaks, and a variety of regulatory and disease control measures have been applied to the movement of livestock with the express aim of mitigating the spread of infection. The Rapid Analysis and Detection of Animal-related Risks (RADAR) project, which has been collecting data on the movement of cattle since 1998, provides a relatively comprehensive record of how these policies have influenced the movement of cattle between animal holdings, markets, and slaughterhouses in Britain. Many previous studies have focused on the properties of the network that can be derived from these movements - treating farms as nodes and movements as directed (and potentially weighted) edges in the network. However, of far greater importance is how these policy changes have influenced the potential spread of infectious diseases. Here we use a stochastic fully individual-based model of cattle in Britain to assess how the epidemic potential has varied from 2000 to 2009 as the pattern of movements has changed in response to legislation and market forces. Our simulations show that the majority of policy changes lead to significant decreases in the epidemic potential (measured in multiple ways), but that this potential then increases through time as cattle farmers modify their behaviour in response. Our results suggest that the cattle industry is likely to experience boom-bust dynamics, with the actions that farmers take during epidemic-free periods to maximise their profitability likely to increase the potential for large-scale epidemics to occur. © 2012 Elsevier B.V.

Item Type: Journal Article
Divisions: Faculty of Science > Life Sciences (2010- )
Faculty of Science > Mathematics
Journal or Publication Title: Preventive Veterinary Medicine
Publisher: Elsevier
ISSN: 0167-5877
Date: 1 June 2012
Volume: Vol.105
Number: No.1-2
Page Range: pp. 110-117
Identification Number: 10.1016/j.prevetmed.2011.12.016
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
URI: http://wrap.warwick.ac.uk/id/eprint/49355

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