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Livestock Disease Management for Trading Across Different Regulatory Regimes

Overview of attention for article published in EcoHealth, February 2018
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Title
Livestock Disease Management for Trading Across Different Regulatory Regimes
Published in
EcoHealth, February 2018
DOI 10.1007/s10393-018-1312-y
Pubmed ID
Authors

Andrew M. Bate, Glyn Jones, Adam Kleczkowski, Rebecca Naylor, Jon Timmis, Piran C. L. White, Julia Touza

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.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Master 6 14%
Student > Ph. D. Student 4 9%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Other 9 20%
Unknown 12 27%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 16%
Agricultural and Biological Sciences 6 14%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 3 7%
Mathematics 2 5%
Other 10 23%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2018.
All research outputs
#20,483,282
of 23,045,021 outputs
Outputs from EcoHealth
#658
of 710 outputs
Outputs of similar age
#382,666
of 445,234 outputs
Outputs of similar age from EcoHealth
#17
of 17 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 710 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 445,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.