Social network analysis for the assessment of pig, cattle and buffalo movement in Xayabouli, Lao PDR

Author:

Poolkhet Chaithep1ORCID,Kasemsuwan Suwicha1ORCID,Phiphakhavong Sithong2,Phouangsouvanh Intha3,Vongxay Khamphouth4,Shin Man Sub5,Kalpravidh Wantanee5,Hinrichs Jan5

Affiliation:

1. Department of Veterinary Public Health, Faculty of Veterinary Medicine, Kasetsart University, Nakhon Pathom, Thailand

2. Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Lao PDR

3. Department of Livestock and Fisheries Veterinary Vaccine Production Center, Ministry of Agriculture and Forestry, Vientiane, Lao PDR

4. Emergency Centre for Transboundary Animal Diseases (ECTAD), FAO Regional Office for Asia and the Pacific (FAO-RAP), Vientiane, Lao PDR

5. Emergency Centre for Transboundary Animal Diseases (ECTAD), FAO Regional Office for Asia and the Pacific (FAO-RAP), Bangkok, Thailand

Abstract

The aim of this study is to understand the role that the movement patterns of pigs, cattle and buffalo play in the spread of foot-and-mouth disease (FMD). A cross-sectional survey consisting of a questionnaire was used in a hotspot area for FMD: Xayabouli Province, Lao People’s Democratic Republic. A total of 189 respondents were interviewed. We found that the key players in this network were people who were involved with more than one species of animal or occupation (multipurpose occupational node), which represents the highest number of activities of animals moved off the holding (shown with the highest out-degree centrality) and a high likelihood of being an intermediary between others (shown with the highest betweenness centrality). Moreover, the results show that the animals moved to and away from each node had few connections. Some nodes (such as traders) always received animals from the same group of cattle owners at different times. The subgroup connection within this network has many weak components, which means a connection in this network shows that some people can be reached by others, but most people were not. In this way, the number of connections present in the network was low when we defined the proportion of observed connections with all possible connections (density). These findings indicate that the network might not be busy; only one type of node is dominant which enables increased control of disease spread. We recommend that the relevant authorities implement control measures regarding the key players, which is the best way to effectively control the spread of infectious diseases.

Funder

Government of the Republic of Korea

European Union

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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