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Modelling of paratuberculosis spread between dairy cattle farms at a regional scale

Overview of attention for article published in Veterinary Research, September 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
Modelling of paratuberculosis spread between dairy cattle farms at a regional scale
Published in
Veterinary Research, September 2015
DOI 10.1186/s13567-015-0247-3
Pubmed ID
Authors

Gaël Beaunée, Elisabeta Vergu, Pauline Ezanno

Abstract

Mycobacterium avium subsp. paratuberculosis (Map) causes Johne's disease, with large economic consequences for dairy cattle producers worldwide. Map spread between farms is mainly due to animal movements. Locally, herd size and management are expected to influence infection dynamics. To provide a better understanding of Map spread between dairy cattle farms at a regional scale, we describe the first spatio-temporal model accounting simultaneously for population and infection dynamics and indirect local transmission within dairy farms, and between-farm transmission through animal trade. This model is applied to Brittany, a French region characterized by a high density of dairy cattle, based on data on animal trade, herd size and farm management (birth, death, renewal, and culling) from 2005 to 2013 for 12 857 dairy farms. In all simulated scenarios, Map infection highly persisted at the metapopulation scale. The characteristics of initially infected farms strongly impacted the regional Map spread. Network-related features of incident farms influenced their ability to contaminate disease-free farms. At the herd level, we highlighted a balanced effect of the number of animals purchased: when large, it led to a high probability of farm infection but to a low persistence. This effect was reduced when prevalence in initially infected farms increased. Implications of our findings in the current enzootic situation are that the risk of infection quickly becomes high for farms buying more than three animals per year. Even in regions with a low proportion of infected farms, Map spread will not fade out spontaneously without the use of effective control strategies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Switzerland 1 1%
Unknown 68 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 35%
Student > Ph. D. Student 17 24%
Other 4 6%
Student > Postgraduate 4 6%
Professor 3 4%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 22 31%
Agricultural and Biological Sciences 18 25%
Mathematics 5 7%
Medicine and Dentistry 5 7%
Computer Science 2 3%
Other 5 7%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 12 November 2015.
All research outputs
#14,536,007
of 25,374,647 outputs
Outputs from Veterinary Research
#611
of 1,337 outputs
Outputs of similar age
#131,102
of 286,224 outputs
Outputs of similar age from Veterinary Research
#13
of 38 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 286,224 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.