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Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic
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Savill, Nicholas J., Shaw, Darren J., Deardon, Rob, Tildesley, Michael J., Keeling, Matthew James, Woolhouse, Mark E. J., Brooks, Stephen P. and Grenfell, Bryan T. (2007) Effect of data quality on estimates of farm infectiousness trends in the UK 2001 foot-and-mouth disease epidemic. Journal of The Royal Society Interface, Vol.4 (No.13). pp. 235-241. doi:10.1098/rsif.2006.0178 ISSN 1742-5689.
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Official URL: http://dx.doi.org/10.1098/rsif.2006.0178
Abstract
Most of the mathematical models that were developed to study the UK 2001 foot-and-mouth disease epidemic assumed that the infectiousness of infected premises was constant over their infectious periods. However, there is some controversy over whether this assumption is appropriate. Uncertainty about which farm infected which in 2001 means that the only method to determine if there were trends in farm infectiousness is the fitting of mechanistic mathematical models to the epidemic data. The parameter values that are estimated using this technique, however, may be influenced by missing and inaccurate data. In particular to the UK 2001 epidemic, this includes unreported infectives, inaccurate farm infection dates and unknown farm latent periods. Here, we show that such data degradation prevents successful determination of trends in farm infectiousness.
Item Type: | Journal Article | ||||
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Subjects: | Q Science | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Mathematics | ||||
Journal or Publication Title: | Journal of The Royal Society Interface | ||||
Publisher: | The Royal Society Publishing | ||||
ISSN: | 1742-5689 | ||||
Official Date: | 22 April 2007 | ||||
Dates: |
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Volume: | Vol.4 | ||||
Number: | No.13 | ||||
Number of Pages: | 7 | ||||
Page Range: | pp. 235-241 | ||||
DOI: | 10.1098/rsif.2006.0178 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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