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Prev Vet Med. 2012 Jun 1;105(1-2):17-24. doi: 10.1016/j.prevetmed.2012.01.011. Epub 2012 Feb 18.

Robust surveillance of animal diseases: an application to the detection of bluetongue disease.

Author information

  • 1University of Kent, Kent Business School, Room 7, Canterbury, Kent, CT2 7PE, UK. D.M.Souza-Monteiro@kent.ac.uk

Abstract

Control of endemic, exotic, and emerging animal diseases critically depends on their early detection and timely management. This paper proposes a novel approach to evaluate alternative surveillance programs based on info-gap theory. A general modeling framework is developed explicitly accounting for severe uncertainty about the incursion, detection, spread, and control of exotic and emergent diseases. The model is illustrated by an evaluation of bluetongue disease surveillance strategies. Key results indicate that, when available, vaccination of the entire population is the most robust strategy. If vaccines are not available then active reporting of suspect clinical signs by farmers is a very robust surveillance policy.

Copyright © 2012 Elsevier B.V. All rights reserved.

PMID:
22342321
[PubMed - indexed for MEDLINE]
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