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Sheep Movement Networks and the Transmission of Infectious Diseases

BACKGROUND AND METHODOLOGY: Various approaches have been used to investigate how properties of farm contact networks impact on the transmission of infectious diseases. The potential for transmission of an infection through a contact network can be evaluated in terms of the basic reproduction number,...

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Autores principales: Volkova, Victoriya V., Howey, Richard, Savill, Nicholas J., Woolhouse, Mark E. J.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2887355/
https://www.ncbi.nlm.nih.gov/pubmed/20567504
http://dx.doi.org/10.1371/journal.pone.0011185
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author Volkova, Victoriya V.
Howey, Richard
Savill, Nicholas J.
Woolhouse, Mark E. J.
author_facet Volkova, Victoriya V.
Howey, Richard
Savill, Nicholas J.
Woolhouse, Mark E. J.
author_sort Volkova, Victoriya V.
collection PubMed
description BACKGROUND AND METHODOLOGY: Various approaches have been used to investigate how properties of farm contact networks impact on the transmission of infectious diseases. The potential for transmission of an infection through a contact network can be evaluated in terms of the basic reproduction number, R (0). The magnitude of R (0) is related to the mean contact rate of a host, in this case a farm, and is further influenced by heterogeneities in contact rates of individual hosts. The latter can be evaluated as the second order moments of the contact matrix (variances in contact rates, and co-variance between contacts to and from individual hosts). Here we calculate these quantities for the farms in a country-wide livestock network: >15,000 Scottish sheep farms in each of 4 years from July 2003 to June 2007. The analysis is relevant to endemic and chronic infections with prolonged periods of infectivity of affected animals, and uses different weightings of contacts to address disease scenarios of low, intermediate and high animal-level prevalence. PRINCIPAL FINDINGS AND CONCLUSIONS: Analysis of networks of Scottish farms via sheep movements from July 2003 to June 2007 suggests that heterogeneities in movement patterns (variances and covariances of rates of movement on and off the farms) make a substantial contribution to the potential for the transmission of infectious diseases, quantified as R (0), within the farm population. A small percentage of farms (<20%) contribute the bulk of the transmission potential (>80%) and these farms could be efficiently targeted by interventions aimed at reducing spread of diseases via animal movement.
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spelling pubmed-28873552010-06-21 Sheep Movement Networks and the Transmission of Infectious Diseases Volkova, Victoriya V. Howey, Richard Savill, Nicholas J. Woolhouse, Mark E. J. PLoS One Research Article BACKGROUND AND METHODOLOGY: Various approaches have been used to investigate how properties of farm contact networks impact on the transmission of infectious diseases. The potential for transmission of an infection through a contact network can be evaluated in terms of the basic reproduction number, R (0). The magnitude of R (0) is related to the mean contact rate of a host, in this case a farm, and is further influenced by heterogeneities in contact rates of individual hosts. The latter can be evaluated as the second order moments of the contact matrix (variances in contact rates, and co-variance between contacts to and from individual hosts). Here we calculate these quantities for the farms in a country-wide livestock network: >15,000 Scottish sheep farms in each of 4 years from July 2003 to June 2007. The analysis is relevant to endemic and chronic infections with prolonged periods of infectivity of affected animals, and uses different weightings of contacts to address disease scenarios of low, intermediate and high animal-level prevalence. PRINCIPAL FINDINGS AND CONCLUSIONS: Analysis of networks of Scottish farms via sheep movements from July 2003 to June 2007 suggests that heterogeneities in movement patterns (variances and covariances of rates of movement on and off the farms) make a substantial contribution to the potential for the transmission of infectious diseases, quantified as R (0), within the farm population. A small percentage of farms (<20%) contribute the bulk of the transmission potential (>80%) and these farms could be efficiently targeted by interventions aimed at reducing spread of diseases via animal movement. Public Library of Science 2010-06-17 /pmc/articles/PMC2887355/ /pubmed/20567504 http://dx.doi.org/10.1371/journal.pone.0011185 Text en Volkova et al. http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Volkova, Victoriya V.
Howey, Richard
Savill, Nicholas J.
Woolhouse, Mark E. J.
Sheep Movement Networks and the Transmission of Infectious Diseases
title Sheep Movement Networks and the Transmission of Infectious Diseases
title_full Sheep Movement Networks and the Transmission of Infectious Diseases
title_fullStr Sheep Movement Networks and the Transmission of Infectious Diseases
title_full_unstemmed Sheep Movement Networks and the Transmission of Infectious Diseases
title_short Sheep Movement Networks and the Transmission of Infectious Diseases
title_sort sheep movement networks and the transmission of infectious diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2887355/
https://www.ncbi.nlm.nih.gov/pubmed/20567504
http://dx.doi.org/10.1371/journal.pone.0011185
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