Journal of the Korean Cartographic Association ISSN:1598-6160(Print) 한국지도학회지

This study is to conduct a network analysis between hog farms and slaughters using GPS based vehicle movement data. In order to cope with foot and mouth disease, early response and preemptive prevention of epidemics can be crucial role. Analysis of vehicle movement that is a major agent for disease spread and relationship between slaughters and hog farms needs to be conducted for the above strategies. This study conducted network analysis between slaughters and swine farms with vehicle movement data from KAHIS (Korea Animal Health Integrated System). For this analysis, we constructed binary matrix data between slaughters and swine farms. We applied ‘Rasch Model’ to estimate risk scores for each slaughters and swine farms. After that, we also used ‘Latent Class Analysis (LCA)’ to cluster swine farms. Results from ‘Rasch Model’ said that farms in Jeollabuk-do Province and Gyeonggi-do Province have high level risk scores which indicates high risks for disease spread. Results from LCA said that the proper number of clusters is seven. Considering the risk scores from ‘Rasch Model’, which indicates level of relationship with diverse slaughters, government agency needs to concentrate upon clustering group 4, followed by cluster group 1, 3, 5, 6. In the case of cluster group 2, 7, which have low scores, they have relatively lower risks for disease spread. The results considered, it can be a better strategy that government agency restricts only a few paths in Jeollabuk-do Province and Chungcheongnam-do Province instead of all paths in the outbreak of disease.