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Relationship Between Degree Centrality of Livestock Facilities in Vehicle Movement Network and Outbreak of Animal Infectious Disease

차량이동 네트워크에서의 축산시설 연결중심성과 가축 전염병 발생 사이의 관계

  • Lee, Gyoung-Ju (Dept. of Urban & Transportation Engineering, Korea National University of Transportation) ;
  • Pak, Son-Il (College of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University) ;
  • Lee, Kwang-Nyeong (Veterinary Epidemiology Division, Animal and Plant Quarantine Agency) ;
  • Kim, Han-Yee (Dept. of Urban & Transportation Engineering, Korea National University of Transportation) ;
  • Park, Jin-Ho (Dept. of Urban & Transportation Engineering, Korea National University of Transportation) ;
  • Hong, Sungjo (Dept. of Urban Engineering, Chungbuk National University)
  • 이경주 (한국교통대학교 도시.교통공학전공) ;
  • 박선일 (강원대학교 수의과대학) ;
  • 이광녕 (농림축산검역본부 역학조사과) ;
  • 김한이 (한국교통대학교 도시.교통공학전공) ;
  • 박진호 (한국교통대학교 도시.교통공학전공) ;
  • 홍성조 (충북대학교 도시공학과)
  • Received : 2018.09.10
  • Accepted : 2018.12.07
  • Published : 2018.12.31

Abstract

The national loss caused by the periodic livestock epidemic is very large. In addition, vehicle movement is the main cause of livestock epidemics in Korea. In this context, this study analyzed the relationship between the degree centrality of livestock facilities and the outbreak of infectious diseases. For this purpose, a livestock vehicle movement network was constructed using the facility entrance data provided by KAHIS. Afterwards, the centrality index was derived for each facility in the vehicle movement network and the mean centrality index of the epidemic and non-epidemic facilities were compared. The analysis results are summarized as follows. First, the degree centrality of epidemic facilities is significantly greater than non-epidemic facilities. As a result of the analysis of the entire period data and the period-based data, in most data, the degree centrality of facilities where livestock infectious diseases occurred was significantly greater than most non-occurrence facilities. Second, in the entire period data, the difference in degree centrality between the epidemic and non-epidemic facilities was smaller for HPAI than for FMD. On the other hand, no significant difference was found in the results of the analysis according to the divided period. The policy implications of the results are as follows. First, proactive management of facilities based on centrality is needed. Second, in the case of cloven-hoofed animal facilities, it is more urgent to introduce a management policy based on the degree centrality.

주기적으로 발생하는 가축전염병으로 인한 국가적 손실이 매우 크다. 또한 우리나라에서 차량이동이 가축전염병의 주요 원인인 것으로 알려져 있다. 이 같은 상황에서, 본 연구는 축산차량의 이동 네트워크에서 축산시설의 구조적 위치와 전염병의 발생 사이의 관계를 실증분석하였다. 이를 위하여 KAHIS에서 제공하는 축산차량의 시설 진입 데이터를 활용하여 축산차량 이동 네트워크를 구축하였다. 구축된 네트워크에서 시설별로 중심성 지표를 도출하고, 전염병이 발생한 시설과 비발생 시설의 지표 평균을 비교하였다. 분석결과 첫번째 가설인 "전염병 발생시설의 연결정도 중심성은 비발생 시설보다 크다."는 옳은 것으로 나타났다. 전체시점과 시점별 분석을 실시한 결과 대부분의 자료에서 가축전염병이 발생한 시설의 연결정도 중심성이 비발생 시설에 비하여 통계적으로 크게 나타났다. 두 번째 가설인 "HPAI에서 발생시설과 비발생시설 사이의 연결중심성 차이가 FMD에서의 차이보다 작다."는 전체시점 자료에서 옳은 것으로 나타났다. 반면에 시점을 나누어서 분석한 결과에서는 뚜렷한 차이를 찾을 수 없었다. 연구의 결과에 따른 정책적 시사점은 다음과 같다. 첫 번째, 연결정도 중심성에 기반한 시설의 사전 관리가 필요하다. 두 번째, 우제류 농가의 경우 연결중심성에 기반한 관리정책의 도입이 보다 시급하다.

Keywords

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Fig. 1. Construction of Data(a) Vehicle Log Data(b) Vehicle Movement Network

Table 1. Data Set Used for Analysis

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Table 2. Average Difference in centrality Index Between Epidemic Facilities and Non Epidemic Facilities

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Table 3. Average Difference in centrality Index by Period

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Table 4. Summary of Average Difference in Centrality Index by Period

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