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Vaccination against Foot-And-Mouth Disease: Do Initial Conditions Affect Its Benefit?

Overview of attention for article published in PLOS ONE, October 2013
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Title
Vaccination against Foot-And-Mouth Disease: Do Initial Conditions Affect Its Benefit?
Published in
PLOS ONE, October 2013
DOI 10.1371/journal.pone.0077616
Pubmed ID
Authors

Thibaud Porphyre, Harriet K. Auty, Michael J. Tildesley, George J. Gunn, Mark E. J. Woolhouse

Abstract

When facing incursion of a major livestock infectious disease, the decision to implement a vaccination programme is made at the national level. To make this decision, governments must consider whether the benefits of vaccination are sufficient to outweigh potential additional costs, including further trade restrictions that may be imposed due to the implementation of vaccination. However, little consensus exists on the factors triggering its implementation on the field. This work explores the effect of several triggers in the implementation of a reactive vaccination-to-live policy when facing epidemics of foot-and-mouth disease. In particular, we tested whether changes in the location of the incursion and the delay of implementation would affect the epidemiological benefit of such a policy in the context of Scotland. To reach this goal, we used a spatial, premises-based model that has been extensively used to investigate the effectiveness of mitigation procedures in Great Britain. The results show that the decision to vaccinate, or not, is not straightforward and strongly depends on the underlying local structure of the population-at-risk. With regards to disease incursion preparedness, simply identifying areas of highest population density may not capture all complexities that may influence the spread of disease as well as the benefit of implementing vaccination. However, if a decision to vaccinate is made, we show that delaying its implementation in the field may markedly reduce its benefit. This work provides guidelines to support policy makers in their decision to implement, or not, a vaccination-to-live policy when facing epidemics of infectious livestock disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Australia 1 1%
Unknown 66 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 13 19%
Student > Master 9 13%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 28%
Veterinary Science and Veterinary Medicine 11 16%
Medicine and Dentistry 7 10%
Mathematics 3 4%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 9 13%
Unknown 16 24%
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 August 2014.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from PLOS ONE
#154,212
of 193,989 outputs
Outputs of similar age
#154,774
of 207,659 outputs
Outputs of similar age from PLOS ONE
#3,764
of 5,022 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,989 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5,022 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.