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Improving the Effect and Efficiency of FMD Control by Enlarging Protection or Surveillance Zones

Overview of attention for article published in Frontiers in Veterinary Science, December 2015
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Title
Improving the Effect and Efficiency of FMD Control by Enlarging Protection or Surveillance Zones
Published in
Frontiers in Veterinary Science, December 2015
DOI 10.3389/fvets.2015.00070
Pubmed ID
Authors

Tariq Halasa, Nils Toft, Anette Boklund

Abstract

An epidemic of foot-and-mouth disease (FMD) in a FMD-free country with large exports of livestock and livestock products would result in profound economic damage. This could be reduced by rapid and efficient control of the disease spread. The objectives of this study were to estimate the economic impact of a hypothetical FMD outbreak in Denmark based on changes to the economic assumptions of the model, and to investigate whether the control of an FMD epidemic can be improved by combining the enlargement of protection or surveillance zones with pre-emptive depopulation or emergency vaccination. The stochastic spatial simulation model DTU-DADS was used to simulate the spread of FMD in Denmark. The control strategies were the basic EU and Danish strategy, pre-emptive depopulation, suppressive or protective vaccination, enlarging protection or surveillance zones, and a combination of pre-emptive depopulation or emergency vaccination with enlarged protection or surveillance zones. Herds are detected either based on basic detection through the appearance of clinical signs, or as a result of surveillance in the control zones. The economic analyses consisted of direct costs and export losses. Sensitivity analysis was performed on uncertain and potentially influential input parameters. Enlarging the surveillance zones from 10 to 15 km, combined with pre-emptive depopulation over a 1-km radius around detected herds resulted in the lowest total costs. This was still the case even when the different input parameters were changed in the sensitivity analysis. Changing the resources for clinical surveillance did not affect the epidemic consequences. In conclusion, an FMD epidemic in Denmark would have a larger economic impact on the agricultural sector than previously anticipated. Furthermore, the control of a potential FMD outbreak in Denmark may be improved by combining pre-emptive depopulation with an enlarged protection or surveillance zone.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Master 6 17%
Researcher 5 14%
Professor > Associate Professor 2 6%
Student > Bachelor 2 6%
Other 3 8%
Unknown 11 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 19%
Veterinary Science and Veterinary Medicine 6 17%
Economics, Econometrics and Finance 2 6%
Medicine and Dentistry 2 6%
Nursing and Health Professions 1 3%
Other 5 14%
Unknown 13 36%
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 06 November 2017.
All research outputs
#17,778,101
of 22,834,308 outputs
Outputs from Frontiers in Veterinary Science
#3,470
of 6,204 outputs
Outputs of similar age
#263,377
of 387,655 outputs
Outputs of similar age from Frontiers in Veterinary Science
#20
of 37 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,204 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 33rd percentile – i.e., 33% 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 387,655 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.