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Preventive veterinary medicine2013; 116(3); 243-251; doi: 10.1016/j.prevetmed.2013.11.015

Applying Bayesian network modelling to understand the links between on-farm biosecurity practice during the 2007 equine influenza outbreak and horse managers’ perceptions of a subsequent outbreak.

Abstract: Australia experienced its first ever outbreak of equine influenza in August 2007. Horses on 9359 premises were infected over a period of 5 months before the disease was successfully eradicated through the combination of horse movement controls, on-farm biosecurity and vaccination. In a previous premises-level case-control study of the 2007 equine influenza outbreak in Australia, the protective effect of several variables representing on-farm biosecurity practices were identified. Separately, factors associated with horse managers' perceptions of the effectiveness of biosecurity measures have been identified. In this analysis we applied additive Bayesian network modelling to describe the complex web of associations linking variables representing on-farm human behaviours during the 2007 equine influenza outbreak (compliance or lack thereof with advised personal biosecurity measures) and horse managers' perceptions of the effectiveness of such measures in the event of a subsequent outbreak. Heuristic structure discovery enabled identification of a robust statistical model for 31 variables representing biosecurity practices and perceptions of the owners and managers of 148 premises. The Bayesian graphical network model we present statistically describes the associations linking horse managers' on-farm biosecurity practices during an at-risk period in the 2007 outbreak and their perceptions of whether such measures will be effective in a future outbreak. Practice of barrier infection control measures were associated with a heightened perception of preparedness, whereas horse managers that considered their on-farm biosecurity to be more stringent during the outbreak period than normal practices had a heightened perception of the effectiveness of other measures such as controlling access to the premises. Past performance in an outbreak setting may indeed be a reliable predictor of future perceptions, and should be considered when targeting infection control guidance to horse owners and managers.
Publication Date: 2013-12-14 PubMed ID: 24369825DOI: 10.1016/j.prevetmed.2013.11.015Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research article discusses an approach to modelling the factors that influence how effective horse farm managers perceived biosecurity measures during an outbreak of equine influenza in Australia in 2007, in terms of their potential effectiveness during a future outbreak.

Research Background

  • The genesis of this research was Australia’s first-ever Equine Influenza outbreak in August 2007 that saw horses on 9,359 premises get infected over five months.
  • This disease was eradicated using a mix of horse movement controls, on-farm biosecurity and vaccination. A case-control study of this outbreak at the premises level highlighted the protective effect of several variables denoting on-farm biosecurity practices.
  • Further, factors that influenced horse managers’ perceptions of the viability and effectiveness of these biosecurity measures were also identified separately.

Research Objective and Methods

  • The focus of this analysis is to apply additive Bayesian network modelling to draw a comprehensive and nuanced picture of the associations between variables denoting on-farm human behaviour during the outbreak and the perceptions of horse managers of the effectiveness of such measures in the event of a subsequent outbreak.
  • Using Heuristic structure discovery, a robust statistical model was created for 31 variables representing biosecurity practices and perceptions of the owners and managers of 148 premises.

Research Findings and Significance

  • The resulting Bayesian graphical network model statistically describes the associations linking horse managers’ on-farm biosecurity practices during the outbreak risk period in 2007 and their perceptions on the effectiveness of such measures during a potential future outbreak.
  • It was found that practicing barrier infection control measures were linked with a heightened perception of preparedness. Meanwhile, horse managers who considered their on-farm biosecurity measures during the outbreak to be more stringent than their normal practices had a increased perception of the efficacy of other measures like controlling access to the premises.
  • The research offers insights into how past performance under crisis could be a reliable predictor of future perceptions and provides guidance on biosecurity practices from the perspective of horse owners and managers for better infection control.

Cite This Article

APA
Firestone SM, Lewis FI, Schemann K, Ward MP, Toribio JA, Taylor MR, Dhand NK. (2013). Applying Bayesian network modelling to understand the links between on-farm biosecurity practice during the 2007 equine influenza outbreak and horse managers’ perceptions of a subsequent outbreak. Prev Vet Med, 116(3), 243-251. https://doi.org/10.1016/j.prevetmed.2013.11.015

Publication

ISSN: 1873-1716
NlmUniqueID: 8217463
Country: Netherlands
Language: English
Volume: 116
Issue: 3
Pages: 243-251
PII: S0167-5877(13)00365-6

Researcher Affiliations

Firestone, Simon M
  • Faculty of Veterinary Science, The University of Melbourne, Parkville, Victoria 3010, Australia; Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, NSW 2570, Australia. Electronic address: simon.firestone@unimelb.edu.au.
Lewis, Fraser I
  • Vetsuisse Faculty, University of Zürich, Winterthurerstrasse 270, Zürich 8057, Switzerland.
Schemann, Kathrin
  • Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, NSW 2570, Australia.
Ward, Michael P
  • Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, NSW 2570, Australia.
Toribio, Jenny-Ann L M L
  • Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, NSW 2570, Australia.
Taylor, Melanie R
  • School of Medicine, University of Western Sydney, Locked Bag 1797, Penrith, NSW 2751, Australia.
Dhand, Navneet K
  • Faculty of Veterinary Science, The University of Sydney, 425 Werombi Road, Camden, NSW 2570, Australia.

MeSH Terms

  • Animal Husbandry
  • Animals
  • Australia
  • Bayes Theorem
  • Communicable Disease Control / standards
  • Disease Outbreaks / prevention & control
  • Disease Outbreaks / veterinary
  • Health Knowledge, Attitudes, Practice
  • Horse Diseases / prevention & control
  • Horse Diseases / virology
  • Horses
  • Humans
  • Influenza A Virus, H3N8 Subtype
  • Orthomyxoviridae Infections / prevention & control
  • Orthomyxoviridae Infections / veterinary
  • Orthomyxoviridae Infections / virology
  • Surveys and Questionnaires

Citations

This article has been cited 11 times.