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Decision Support for Mitigation of Livestock Disease: Rinderpest as a Case Study

Overview of attention for article published in Frontiers in Veterinary Science, September 2018
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4 X users

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Title
Decision Support for Mitigation of Livestock Disease: Rinderpest as a Case Study
Published in
Frontiers in Veterinary Science, September 2018
DOI 10.3389/fvets.2018.00182
Pubmed ID
Authors

Judith R. Mourant, Paul W. Fenimore, Carrie A. Manore, Benjamin H. McMahon

Abstract

A versatile, interactive model to predict geographically resolved epidemic progression after pathogen introduction into a population is presented. Deterministic simulations incorporating a compartmental disease model run rapidly, facilitating the analysis of mitigations such as vaccination and transmission reduction on epidemic spread and progression. We demonstrate the simulation model using rinderpest infection of cattle, a devastating livestock disease. Rinderpest has been extinguished in the wild, but it is still a threat due to stored virus in some laboratories. Comparison of simulations to historical outbreaks provides some validation of the model. Simulations of potential outbreaks demonstrate potential consequences of rinderpest virus release for a variety of possible disease parameters and mitigations. Our results indicate that a rinderpest outbreak could result in severe social and economic consequences.

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The data shown below were collected from the profiles of 4 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Unspecified 3 18%
Researcher 3 18%
Student > Master 2 12%
Unknown 5 29%
Readers by discipline Count As %
Unspecified 3 18%
Nursing and Health Professions 2 12%
Biochemistry, Genetics and Molecular Biology 1 6%
Mathematics 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Other 4 24%
Unknown 5 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 October 2021.
All research outputs
#15,407,758
of 25,218,929 outputs
Outputs from Frontiers in Veterinary Science
#2,431
of 7,932 outputs
Outputs of similar age
#185,339
of 341,635 outputs
Outputs of similar age from Frontiers in Veterinary Science
#48
of 93 outputs
Altmetric has tracked 25,218,929 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,932 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 68% of its peers.
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 341,635 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.