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Jiyoung Song

Jiyoung Song

Korea Railroad Research Institute, Republic of Korea

Title: Development of estimation model of the infectious diseases spread using big data

Biography

Biography: Jiyoung Song

Abstract

A system to quickly estimate the spread of infectious diseases is needed due to the fear and threat of infectious disease spread all around the world. It is necessary to simulate the disease spread estimation model that is specific to each region and environment of each country. Korea needs environmentally optimized disease spread simulation technology. The combination of real-world data on population and human mobility and disease spread models is a global trend to enhance predictive power. Utilization of Big Data makes it possible to improve the reality of infectious disease spread model. Government of Korea Activating the opening and sharing of public information and we have environment in which a variety of evidence can be obtained to increase the reliability of disease spread estimation.

In this study we developed Evidence-Based Mathematical Model based on the Mathematical model of the basic infectious diseases spread to strengthen forecasting ability with predictive power verification by real data. To analysing model used Population flow data, Demographic data and Geographical (GIS) data. City bus operation data and Travel data between freeway tollgates are obtained for a population flow analysis. Resident registration demographics and flow population are obtained from the Ministry of Government Administration and Home Affairs and Telecommunication data respectively. Administrative district boundary data are used as a GIS data. Final analysis model shows spread effect of infectious disease caused by wide-area movement. The distinction of this study is that the analysis can be advanced by converging data. However to apply model for real environmental more comprehensive data on human movement and specific appropriate infectious disease model choice according to the infectious disease are needed.