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Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements

The aim of this study is to analyse the pattern of cattle movement in Sukhothai province, Thailand. A validated questionnaire was applied to 308 respondents related to cattle farming using one-step snowball sampling. The results showed that most of the nodes are farmers who move their animals in the...

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Detalles Bibliográficos
Autores principales: Noopataya, Supot, Thongratsakul, Sukanya, Poolkhet, Chaithep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736212/
https://www.ncbi.nlm.nih.gov/pubmed/26881182
http://dx.doi.org/10.1155/2015/587252
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author Noopataya, Supot
Thongratsakul, Sukanya
Poolkhet, Chaithep
author_facet Noopataya, Supot
Thongratsakul, Sukanya
Poolkhet, Chaithep
author_sort Noopataya, Supot
collection PubMed
description The aim of this study is to analyse the pattern of cattle movement in Sukhothai province, Thailand. A validated questionnaire was applied to 308 respondents related to cattle farming using one-step snowball sampling. The results showed that most of the nodes are farmers who move their animals in the province. The average normalized degree centrality and normalized closeness centrality were low (<0.01 and 0.04, resp.). We found that traders are the nodes with a high value of centrality. This corresponds with the cutpoint analysis results that traders are outstanding. In conclusion, the relevant authorities should focus on the nodes such as traders for controlling disease. However, a measure to detect disease in the early stages needs to be implemented.
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spelling pubmed-47362122016-02-15 Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements Noopataya, Supot Thongratsakul, Sukanya Poolkhet, Chaithep Vet Med Int Research Article The aim of this study is to analyse the pattern of cattle movement in Sukhothai province, Thailand. A validated questionnaire was applied to 308 respondents related to cattle farming using one-step snowball sampling. The results showed that most of the nodes are farmers who move their animals in the province. The average normalized degree centrality and normalized closeness centrality were low (<0.01 and 0.04, resp.). We found that traders are the nodes with a high value of centrality. This corresponds with the cutpoint analysis results that traders are outstanding. In conclusion, the relevant authorities should focus on the nodes such as traders for controlling disease. However, a measure to detect disease in the early stages needs to be implemented. Hindawi Publishing Corporation 2015 2015-12-31 /pmc/articles/PMC4736212/ /pubmed/26881182 http://dx.doi.org/10.1155/2015/587252 Text en Copyright © 2015 Supot Noopataya et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Noopataya, Supot
Thongratsakul, Sukanya
Poolkhet, Chaithep
Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title_full Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title_fullStr Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title_full_unstemmed Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title_short Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements
title_sort social network analysis of cattle movement in sukhothai province, thailand: a study to improve control measurements
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736212/
https://www.ncbi.nlm.nih.gov/pubmed/26881182
http://dx.doi.org/10.1155/2015/587252
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