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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Series: | Veterinary Medicine International |
Online Access: | http://dx.doi.org/10.1155/2015/587252 |
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doaj-296e49b712b6455fad9a7c428dbb22ff2020-11-24T23:28:39ZengHindawi LimitedVeterinary Medicine International2090-81132042-00482015-01-01201510.1155/2015/587252587252Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control MeasurementsSupot Noopataya0Sukanya Thongratsakul1Chaithep Poolkhet2Department of Veterinary Public Health, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, ThailandDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, ThailandDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, ThailandThe 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.http://dx.doi.org/10.1155/2015/587252 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Supot Noopataya Sukanya Thongratsakul Chaithep Poolkhet |
spellingShingle |
Supot Noopataya Sukanya Thongratsakul Chaithep Poolkhet Social Network Analysis of Cattle Movement in Sukhothai Province, Thailand: A Study to Improve Control Measurements Veterinary Medicine International |
author_facet |
Supot Noopataya Sukanya Thongratsakul Chaithep Poolkhet |
author_sort |
Supot Noopataya |
title |
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_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_sort |
social network analysis of cattle movement in sukhothai province, thailand: a study to improve control measurements |
publisher |
Hindawi Limited |
series |
Veterinary Medicine International |
issn |
2090-8113 2042-0048 |
publishDate |
2015-01-01 |
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. |
url |
http://dx.doi.org/10.1155/2015/587252 |
work_keys_str_mv |
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1725548584794849280 |