↓ Skip to main content

The potential spread of severe footrot in Norway if no elimination programme had been initiated: a simulation model

Overview of attention for article published in Veterinary Research, February 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
19 Mendeley
Title
The potential spread of severe footrot in Norway if no elimination programme had been initiated: a simulation model
Published in
Veterinary Research, February 2015
DOI 10.1186/s13567-015-0150-y
Pubmed ID
Authors

Gry M Grøneng, Synnøve Vatn, Anja Bråthen Kristoffersen, Ola Nafstad, Petter Hopp

Abstract

When severe footrot was detected in Norway in 2008, a surveillance programme was initiated and followed by an elimination programme. By 2013 the disease had spread to two of 19 counties and a total of 119 (1%) sheep flocks had been diagnosed with severe footrot. A simulation model was developed to estimate the potential spread of severe footrot in Norway and to estimate the relative importance of the different spreading routes. The model parameters were based on the rate of spread of the first 38 diagnosed cases and the management and climatic factors particular for Norway. The model showed that by 2013, severe footrot would have spread to six counties and infected 16% of the sheep flocks if no elimination programme had been initiated. If this is compared with the 1% of flocks that were diagnosed in Norway by 2013, there seems to be a large effect of the implemented footrot elimination programme. By 2035, it was estimated that severe footrot would have spread to 16 counties and 64% of the sheep flocks. Such an extensive spread would probably impose a large negative impact on the sheep industry and welfare of the sheep. The most effective way to curb the spread of severe footrot was by decreasing the within county infection rate. This could be achieved by decreasing the contact between flocks or by decreasing the environmental load of D. nodosus, for example by footbathing sheep, culling diseased sheep or eliminating severe footrot in the flock.

X Demographics

X Demographics

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 42%
Other 1 5%
Student > Doctoral Student 1 5%
Lecturer > Senior Lecturer 1 5%
Professor 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 11 58%
Agricultural and Biological Sciences 3 16%
Social Sciences 1 5%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 November 2016.
All research outputs
#3,415,054
of 25,373,627 outputs
Outputs from Veterinary Research
#135
of 1,337 outputs
Outputs of similar age
#40,927
of 268,968 outputs
Outputs of similar age from Veterinary Research
#5
of 33 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 89% 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 268,968 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.