국내 COVID-19의 공간분포특성 분석

초록

COVID-19 is not only threatening human life, but also causing severe damage in terms of social and economic aspects. The purpose of this study is to develop time series risk maps through risk assessment of domestic COVID-19 by using social and economic factors in South Korea, and to identify spatial distribution characteristics of infectious diseases such as COVID-19 through clustering analysis such as Moran's I statistics and Hotspot analysis. As a result, the number of confirmed cases of COVID-19 in Seoul and Gyeonggi-do was little, however the distribution of the highest COVID-19 risk area (HtCRA) was found in March 2020, and this means that while the number of confirmed cases may not seem dangerous, however there may be potential risks. After September 2020, it was confirmed that HtCRA areas were actually wider than Daegu areas. Furthermore, we confirm that the COVID-19 have a characteristic of clustered distribution, and that clusters have a characteristic of moving. The results of this study are expected to be used as the basic data for the prevention of COVID-19.

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