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dc.contributor.authorRobertson, A
dc.contributor.authorJudge, J
dc.contributor.authorWilson, GJ
dc.contributor.authorVernon, IJ
dc.contributor.authorDelahay, RJ
dc.contributor.authorMcDonald, RA
dc.date.accessioned2020-08-18T15:06:54Z
dc.date.issued2019-05-24
dc.description.abstractThe use of agricultural resources or environments by wildlife may result in opportunities for transmission of infections amongst wild animals, livestock and humans. Targeted use of biosecurity measures may therefore reduce disease risks, although this requires practical knowledge of where such measures would be most effective, and effective means of communicating risks so that stakeholders can make informed decisions about such investment. In parts of Europe, the European badger Meles meles may act as a wildlife reservoir for Mycobacterium bovis, the causative agent of bovine tuberculosis, and badger visits to farmyards may provide potential opportunities for transmission of M. bovis to cattle. Biosecurity measures are effective in reducing badger activity in farmyards, although it is unclear which farms should be targeted with such measures. We used cameras to monitor badger activity in 155 farmyards in south west England and Wales, and related variations in the presence and frequency of badger visits to farm characteristics. Badgers were recorded on camera in 40% of farmyards monitored. However, the frequency of visits was highly variable, with badgers recorded on >50% of nights in only 10% of farms. The presence of badgers in farmyards was positively associated with the density of badger setts, the number of feed stores and the number of cattle sheds, and negatively associated with the distance to the nearest active badger sett, the presence of a house/dwelling and the number of cattle housed on the farm. The frequency of visits was negatively associated with the distance to the nearest active badger sett and the number of cattle housed. Models predicted the presence/absence of badgers in farmyards with 73% accuracy (62% sensitivity, 81% specificity, using a cut off value of 0.265). Models could not distinguish between farms with low/high frequency of visits, although farms predicted as having badgers present typically had a higher frequency of visits than those that were not. We developed and present an interactive web based application: the Badger Farm Assessment Tool (BFAT), to allow users to enter the characteristics of a farm and generate a relative risk score describing the likelihood of badger visits.en_GB
dc.description.sponsorshipDEFRAen_GB
dc.identifier.citationVol. 14 (5), article e0216953en_GB
dc.identifier.doi10.1371/journal.pone.0216953
dc.identifier.grantnumberSE3126en_GB
dc.identifier.urihttp://hdl.handle.net/10871/122526
dc.language.isoenen_GB
dc.publisherPublic Library of Scienceen_GB
dc.rights© 2019 Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_GB
dc.titlePredicting badger visits to farm yards and making predictions available to farmersen_GB
dc.typeArticleen_GB
dc.date.available2020-08-18T15:06:54Z
dc.descriptionThis is the final version. Available on open access from Public Library of Science via the DOI in this recorden_GB
dc.descriptionData Availability: All relevant data are within the manuscript and its Supporting Information files.en_GB
dc.identifier.eissn1932-6203
dc.identifier.journalPLoS ONEen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-04-26
exeter.funder::Animal Health Veterinary Laboratories Agencyen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-05-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2020-08-18T15:04:44Z
refterms.versionFCDVoR
refterms.dateFOA2020-08-18T15:07:00Z
refterms.panelAen_GB
refterms.depositExceptionpublishedGoldOA


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© 2019 Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's licence is described as © 2019 Robertson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.