Social network analysis of cattle movement in Kampong Cham, Kampong Speu and Takeo, Cambodia

• Published in: Acta tropica 2016-07, Vol.159, p.44-49
• Main Authors: Poolkhet, C., Kasemsuwan, S., Seng, S., Keartha, C., Sokmao, C., Shin, M., Kalpravidh, W., Hinrichs, J.
• Format: Article
• Language: English
• Subjects: Animal Husbandry; Animals; Behavior, Animal; Cambodia; Cattle; Cattle movement; Cross-Sectional Studies; Disease Transmission, Infectious; Epidemiology; Foot-and-Mouth Disease - prevention & control; Foot-and-Mouth Disease - transmission; Social Environment; Social network analysis; Surveys and Questionnaires
• ISSN: 0001-706X; 1873-6254
• DOI: 10.1016/j.actatropica.2016.03.027

The networks of Cattle movement in Kampong Cham (a), Kampong Speu (b) and Takeo (c) are represented with 365, 316 and 531 nodes and with 331, 335 and 555 ties, respectively. [Display omitted] •Most nodes are producers who keep their cattle as backyard animals.•The key players in these networks are the middlemen, the collectors, the brokers or the traders.•Three cut-points are evident in both Kampong Cham and Kampong Speu.•A strong network component is found in Kampong Cham, Kampong Speu and Takeo. The aim of this study is to provide insight the network of cattle movement in Kampong Cham, Kampong Speu and Takeo, Cambodia. A cross-sectional study was carried out from July 2014 to August 2014, using questionnaires. It was implemented with 435 interviewees (24.4%, 24.6% and 51.0% from Kampong Cham, Kampong Speu and Takeo, respectively) using one-step snowball sampling. The findings suggest that the key players in all three provinces are producers who raise their cattle as backyard animals. In all three provinces the key players in spreading disease are probably the middlemen, collectors, brokers or traders. The network of cattle movement is presented as a strong component of varying size in each location. In this network we found three cut-points in both Kampong Cham and Kampong Speu. The network in each province indicates a random pattern of node distribution. The results of our study are useful to relevant authorities and researchers to understand the spread of infectious diseases into different areas. The middlemen, collectors, brokers and traders need to be controlled as first priority in order to reduce the magnitude of the spread of disease.