Cargando…

Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Guinat, C., Relun, A., Wall, B., Morris, A., Dixon, L., Pfeiffer, D. U.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928095/
https://www.ncbi.nlm.nih.gov/pubmed/27357836
http://dx.doi.org/10.1038/srep28429
_version_ 1782440376613732352
author Guinat, C.
Relun, A.
Wall, B.
Morris, A.
Dixon, L.
Pfeiffer, D. U.
author_facet Guinat, C.
Relun, A.
Wall, B.
Morris, A.
Dixon, L.
Pfeiffer, D. U.
author_sort Guinat, C.
collection PubMed
description 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.
format Online
Article
Text
id pubmed-4928095
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-49280952016-07-01 Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies Guinat, C. Relun, A. Wall, B. Morris, A. Dixon, L. Pfeiffer, D. U. Sci Rep Article 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. Nature Publishing Group 2016-06-30 /pmc/articles/PMC4928095/ /pubmed/27357836 http://dx.doi.org/10.1038/srep28429 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Guinat, C.
Relun, A.
Wall, B.
Morris, A.
Dixon, L.
Pfeiffer, D. U.
Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title_full Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title_fullStr Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title_full_unstemmed Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title_short Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
title_sort exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928095/
https://www.ncbi.nlm.nih.gov/pubmed/27357836
http://dx.doi.org/10.1038/srep28429
work_keys_str_mv AT guinatc exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies
AT reluna exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies
AT wallb exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies
AT morrisa exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies
AT dixonl exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies
AT pfeifferdu exploringpigtradepatternstoinformthedesignofriskbaseddiseasesurveillanceandcontrolstrategies