Epidemic Simulation of H1N1 Influenza Virus using GIS in South Korea

被引:0
|
作者
Park, Jooyeon [1 ]
Jang, Jinhwa [2 ]
Ahn, Insung [2 ]
机构
[1] Univ Sci & Technol, Dept Big Data Sci, 217 Gajeong Ro, Daejeon 34113, South Korea
[2] Korea Inst Sci & Technol Informat, Biomed Predict Technol Lab, 245 Daehak Ro, Daejeon 34141, South Korea
来源
2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC) | 2017年
关键词
Influenza Virus; Epidemic; SEIR model; Simulation; Infectious disease; Public transport;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The world is facing the pandemic of infectious diseases. Together with the development of transportation technology, the global spread of diseases continues to accelerate. To examine the correlation between transportation and infection, we did the statistical analysis on the highway transport and the domestic flight based on the GIS in the South Korea. Consequentially, the traffic movement through the domestic flight not only through expressway had more relevance to infection of diseases. By performing the SEIR simulation using Anylogic, the regional infection can be predicted when outbreaks occur to make quick responses of threats of diseases.
引用
收藏
页码:58 / 60
页数:3
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