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dc.contributor.author
Guinat, Claire
dc.contributor.author
Relun, A.
dc.contributor.author
Wall, Ben
dc.contributor.author
Morris, A.
dc.contributor.author
Dixon, Linda
dc.contributor.author
Pfeiffer, Dirk U.
dc.date.accessioned
2020-09-24T09:24:06Z
dc.date.available
2020-09-22T11:48:50Z
dc.date.available
2020-09-24T09:24:06Z
dc.date.issued
2016
dc.identifier.issn
2045-2322
dc.identifier.other
10.1038/srep28429
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/441911
dc.identifier.doi
10.3929/ethz-b-000441911
dc.description.abstract
An understanding of the patterns of animal contact networks provides essential information for the design of risk-based animal disease surveillance and control strategies. This study characterises pig movements throughout England and Wales between 2009 and 2013 with a view to characterising spatial and temporal patterns, network topology and trade communities. Data were extracted from the Animal and Plant Health Agency (APHA)’s RADAR (Rapid Analysis and Detection of Animal-related Risks) database, and analysed using descriptive and network approaches. A total of 61,937,855 pigs were moved through 872,493 movements of batches in England and Wales during the 5-year study period. Results show that the network exhibited scale-free and small-world topologies, indicating the potential for diseases to quickly spread within the pig industry. The findings also provide suggestions for how risk-based surveillance strategies could be optimised in the country by taking account of highly connected holdings, geographical regions and time periods with the greatest number of movements and pigs moved, as these are likely to be at higher risk for disease introduction. This study is also the first attempt to identify trade communities in the country, information which could be used to facilitate the pig trade and maintain disease-free status across the country in the event of an outbreak.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Nature Publishing Group
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
en_US
dc.type
Journal Article
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2016-06-30
ethz.journal.title
Scientific Reports
ethz.journal.volume
6
en_US
ethz.journal.abbreviated
Sci Rep
ethz.pages.start
28429
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
London
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02060 - Dep. Biosysteme / Dep. of Biosystems Science and Eng.::09490 - Stadler, Tanja / Stadler, Tanja
en_US
ethz.identifier.orcidWorkCode
69496426
ethz.date.deposited
2020-09-22T11:49:01Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-09-24T09:24:23Z
ethz.rosetta.lastUpdated
2020-09-24T09:24:23Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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