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dc.contributor.authorBrooks-Pollock, Ellen
dc.contributor.authorConlan, Andrew J. K.
dc.contributor.authorMitchell, Andrew P.
dc.contributor.authorBlackwell, R
dc.contributor.authorMcKinley, Trevelyan J.
dc.contributor.authorWood, James L. N.
dc.date.accessioned2016-04-11T15:11:41Z
dc.date.issued2013-10-16
dc.description.abstractBovine tuberculosis (BTB) is an important livestock disease, seriously impacting cattle industries in both industrialised and pre-industrialised countries. Like TB in other mammals, infection is life long and, if undiagnosed, may progress to disease years after exposure. The risk of disease in humans is highly age-dependent, however in cattle, age-dependent risks have yet to be quantified, largely due to insufficient data and limited diagnostics. Here, we estimate age-specific reactor rates in Great Britain by combining herd-level testing data with spatial movement data from the Cattle Tracing System (CTS). Using a catalytic model, we find strong age dependencies in infection risk and that the probability of detecting infection increases with age. Between 2004 and 2009, infection incidence in cattle fluctuated around 1%. Age-specific incidence increased monotonically until 24-36 months, with cattle aged between 12 and 36 months experiencing the highest rates of infection. Beef and dairy cattle under 24 months experienced similar infection risks, however major differences occurred in older ages. The average reproductive number in cattle was greater than 1 for the years 2004-2009. These methods reveal a consistent pattern of BTB rates with age, across different population structures and testing patterns. The results provide practical insights into BTB epidemiology and control, suggesting that targeting a mass control programme at cattle between 12 and 36 months could be beneficial.en_GB
dc.description.sponsorshipEBP is funded by an Engineering and Physical Sciences Research Council (EPSRC) fellowship. JLNW is supported by the Alborada Trust and the RAPIDD program of the Science & Technology Directorate, U.S. Department of Homeland Security, and the Fogarty International Center, U.S. National Institutes of Health. AJKC is supported by Defra grant no. SE-3127. TJM is supported by the BBSRC. We thank Steve Holdship and Rose Nicholson at Defra the AHVLA team for providing access to the CTS and VetNet.en_GB
dc.identifier.citationVeterinary Research, 2013, Vol. 44: 97en_GB
dc.identifier.doi10.1186/1297-9716-44-97
dc.identifier.urihttp://hdl.handle.net/10871/21061
dc.language.isoenen_GB
dc.publisherBioMed Centralen_GB
dc.relation.urlhttp://www.ncbi.nlm.nih.gov/pubmed/24131703en_GB
dc.rightsThis is the final version of the article. Available from BioMed Central via the DOI in this record.en_GB
dc.subjectAge Factorsen_GB
dc.subjectAnimal Husbandryen_GB
dc.subjectAnimalsen_GB
dc.subjectCattleen_GB
dc.subjectFemaleen_GB
dc.subjectGreat Britainen_GB
dc.subjectIncidenceen_GB
dc.subjectMaleen_GB
dc.subjectModels, Biologicalen_GB
dc.subjectRisk Factorsen_GB
dc.subjectTime Factorsen_GB
dc.subjectTuberculosis, Bovineen_GB
dc.titleAge-dependent patterns of bovine tuberculosis in cattle.en_GB
dc.typeArticleen_GB
dc.date.available2016-04-11T15:11:41Z
dc.identifier.issn0928-4249
exeter.place-of-publicationEngland
dc.identifier.journalVeterinary Researchen_GB


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