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Understanding foot-and-mouth disease virus transmission biology: identification of the indicators of infectiousness

Overview of attention for article published in Veterinary Research, July 2013
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Title
Understanding foot-and-mouth disease virus transmission biology: identification of the indicators of infectiousness
Published in
Veterinary Research, July 2013
DOI 10.1186/1297-9716-44-46
Pubmed ID
Authors

Margo E Chase-Topping, Ian Handel, Bartlomiej M Bankowski, Nicholas D Juleff, Debi Gibson, Sarah J Cox, Miriam A Windsor, Elizabeth Reid, Claudia Doel, Richard Howey, Paul V Barnett, Mark EJ Woolhouse, Bryan Charleston

Abstract

The control of foot-and-mouth disease virus (FMDV) outbreaks in non-endemic countries relies on the rapid detection and removal of infected animals. In this paper we use the observed relationship between the onset of clinical signs and direct contact transmission of FMDV to identify predictors for the onset of clinical signs and identify possible approaches to preclinical screening in the field. Threshold levels for various virological and immunological variables were determined using Receiver Operating Characteristic (ROC) curve analysis and then tested using generalized linear mixed models to determine their ability to predict the onset of clinical signs. In addition, concordance statistics between qualitative real time PCR test results and virus isolation results were evaluated. For the majority of animals (71%), the onset of clinical signs occurred 3--4 days post infection. The onset of clinical signs was associated with high levels of virus in the blood, oropharyngeal fluid and nasal fluid. Virus is first detectable in the oropharyngeal fluid, but detection of virus in the blood and nasal fluid may also be good candidates for preclinical indicators. Detection of virus in the air was also significantly associated with transmission. This study is the first to identify statistically significant indicators of infectiousness for FMDV at defined time periods during disease progression in a natural host species. Identifying factors associated with infectiousness will advance our understanding of transmission mechanisms and refine intra-herd and inter-herd disease transmission models.

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The data shown below were collected from the profiles of 3 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
India 1 1%
Unknown 85 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Ph. D. Student 17 20%
Student > Master 10 11%
Student > Doctoral Student 8 9%
Other 5 6%
Other 14 16%
Unknown 15 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 38%
Veterinary Science and Veterinary Medicine 17 20%
Medicine and Dentistry 7 8%
Immunology and Microbiology 4 5%
Mathematics 2 2%
Other 6 7%
Unknown 18 21%
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 09 July 2013.
All research outputs
#16,048,009
of 25,374,917 outputs
Outputs from Veterinary Research
#725
of 1,337 outputs
Outputs of similar age
#119,770
of 206,393 outputs
Outputs of similar age from Veterinary Research
#13
of 21 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 is in the 42nd percentile – i.e., 42% 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 206,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.