Livestock disease management for trading across different regulatory regimes
Bate, Andrew M. and Jones, Glyn and Kleczkowski, Adam and Naylor, Rebecca and Timmis, Jon and White, Piran C. L. and Touza, Julia (2018) Livestock disease management for trading across different regulatory regimes. EcoHealth. ISSN 1612-9202 (https://doi.org/10.1007/s10393-018-1312-y)
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Abstract
The maintenance of livestock health depends on the combined actions of many different actors, both within and across different regulatory frameworks. Prior work recognised that private risk management choices have the ability to reduce the spread of infection to trading partners. We evaluate the efficiency of farmers’ alternative biosecurity choices in terms of their own-benefits from unilateral strategies and quantify the impact they may have in filtering the disease externality of trade. We use bovine viral diarrhoea (BVD) in England and Scotland as a case study, since this provides an example of a situation where contrasting strategies for BVD management occur between selling and purchasing farms. We use an agent-based bioeconomic model to assess the payoff dependence of farmers connected by trade but using different BVD management strategies. We compare three disease management actions: test-cull, test-cull with vaccination and vaccination alone. For a two-farm trading situation, all actions carried out by the selling farm provide substantial benefits to the purchasing farm in terms of disease avoided, with the greatest benefit resulting from test-culling with vaccination on the selling farm. Likewise, unilateral disease strategies by purchasers can be effective in reducing disease risks created through trade. We conclude that regulation needs to balance the trade-off between private gains from those bearing the disease management costs and the positive spillover effects on others.
ORCID iDs
Bate, Andrew M., Jones, Glyn, Kleczkowski, Adam ORCID: https://orcid.org/0000-0003-1384-4352, Naylor, Rebecca, Timmis, Jon, White, Piran C. L. and Touza, Julia;-
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Item type: Article ID code: 63873 Dates: DateEvent12 February 2018Published12 February 2018Published Online12 February 2018AcceptedSubjects: Science > Mathematics > Probabilities. Mathematical statistics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 26 Apr 2018 11:19 Last modified: 11 Nov 2024 11:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/63873