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http://dx.doi.org/10.11108/kagis.2016.19.3.114

Social Network Type Analysis of Highly Pathogenic Avian Influenza(HPAI) Outbreaks in South Korea, 2014-2016  

BAE, Sun-Hak (Department of Geography Education, Kangwon National University)
JEONG, Hae-Yong (Department of Geography Education, Kangwon National University)
EOM, Chi-Ho (Department of Geography Education, Kangwon National University)
Publication Information
Journal of the Korean Association of Geographic Information Studies / v.19, no.3, 2016 , pp. 114-126 More about this Journal
Abstract
Domestic risk factors that are thought to be correlated with highly pathogenic avian influenza (HPAI) outbreak are migratory birds and moving objects such as poultry farm vehicles. In particular, the commercial vehicles that routinely circulate the local and/or remote poultry farms produce are thought to be major HPAI risk factors in South Korea. In this study, the driving histories of the vehicles belonging to poultry farms and/or commercial companies registered in the Korea Animal Integrated System (KAHIS) were analyzed using statistical and social networking tools in a Geographic Information System (GIS) in order to understand the pattern of the HPAI (H5N8) outbreak that occurred in 2014 in South Korea. Based on the 2014 HPAI outbreak patterns, HPAI-infected poultry farms were categorized according to geological features. The HPAI-infected poultry farms were categorized as 'regional-accumulation', 'regional-distribution', 'metropolitan-accumulation', 'metropolitan-distribution' and 'national-distribution' in endemic or non-endemic regions. We were able to categorize most HPAI-infected poultry farms into the five proposed categories, but further studies are required to categorize all such farms. Based on this categorization system, we propose efficient but economical prevention boundaries in South Korea. We strongly believe that our research could hugely impact government decisions to estimate the prevention area.
Keywords
Highly Pathogenic Avian Influenza (HPAI); Social Network Analysis; Geographic Information System (GIS); Poultry Farms Vehicles;
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