↓ Skip to main content

Risk assessment as a tool for improving external biosecurity at farm level

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
103 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Risk assessment as a tool for improving external biosecurity at farm level
Published in
BMC Veterinary Research, July 2015
DOI 10.1186/s12917-015-0477-7
Pubmed ID
Authors

Susanna Sternberg Lewerin, Julia Österberg, Stefan Alenius, Marianne Elvander, Claes Fellström, Madeleine Tråvén, Per Wallgren, Karin Persson Waller, Magdalena Jacobson

Abstract

Biosecurity routines at herd level may reduce the probability of introduction of disease into the herd, but some measures may be regarded as expensive and cumbersome for the farmers. Custom-made measures based on individual farm characteristics may aid in improving the actual application of on-farm biosecurity. The aim of the study was to provide a tool for calculating the effects of different biosecurity measures and strategies on the individual farm level. A simple model was developed to assess the risk of disease introduction and the need for biosecurity measures in individual farms. To illustrate the general applicability of the tool, it was applied to theoretical examples of Swedish cattle and pig farms and diseases endemic in those animal species in the EU, in two scenarios with different between-farm contact patterns. The model illustrated that the most important factors affecting the risk, and the effect of biosecurity measures such as quarantine routines and protective clothing, were the frequency of between-farm contacts and prevalence of the disease. The risk of introduction as well as the effect of biosecurity measures differed between farm types and disease transmission routes. Adapting contact patterns to mitigate a specific disease risk was as important as biosecurity measures for some farm types, but the largest effect was seen when combining biosecurity measures with more planned contact patterns. The risk assessment model proved useful for illustrating the risk of introduction of endemic diseases and the mitigating effect of different biosecurity measures on farm level. Model outputs could be used to justify prioritisation of measures or adapting contact patterns. The theoretic exercise of adjusting model inputs and comparing outputs may help veterinary advisors to understand farm-specific risks and motivate farmers to improve biosecurity in their individual farm, as it can be tailored to each farmer's needs and preferences.

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

Geographical breakdown

Country Count As %
Indonesia 1 <1%
United Kingdom 1 <1%
Switzerland 1 <1%
Unknown 100 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Master 16 16%
Researcher 13 13%
Student > Bachelor 9 9%
Other 6 6%
Other 15 15%
Unknown 27 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 32 31%
Agricultural and Biological Sciences 18 17%
Medicine and Dentistry 5 5%
Engineering 4 4%
Environmental Science 3 3%
Other 9 9%
Unknown 32 31%
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 August 2015.
All research outputs
#18,422,065
of 22,821,814 outputs
Outputs from BMC Veterinary Research
#1,922
of 3,050 outputs
Outputs of similar age
#189,299
of 263,398 outputs
Outputs of similar age from BMC Veterinary Research
#44
of 71 outputs
Altmetric has tracked 22,821,814 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 3,050 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 20th percentile – i.e., 20% 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 263,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.