1. Analysis Results of COVID-19 Data by GIS at Different Scales
- Author
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yanxiang li, zhanliang yuan, and qiaoqiao wang
- Subjects
Text mining ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Computer science ,Data mining ,business ,computer.software_genre ,computer - Abstract
Since the emergence of the new corona virus Corona Virus Disease 19 (COVID-19), it has spread rapidly around the world and has had a serious impact on world economic and social development. In this article, we reviewed the pathogenesis, development process, and the impact and loss of COVID-19 on global human health. Combined with the GIS method, the global distribution of COVID-19 was visualized at multiple scales, and the core areas of the COVID-19 epidemic at different scales were determined. And use the global real-time updated infection data to judge the overall development trend of COVID-19. After visualizing and analyzing the global epidemic data, it was found that the number of patients with COVID-19 at the global scale is still growing at a relatively rapid rate, but the global average mortality rate is drop rapidly. The country with the highest mortality rate at the national scale is 16.24% in Belgium, followed by France and Italy, with mortality rates of 15.31% and 14.4%, respectively. Changes in the number of COVID-19 cases in the United States at the regional scale have a major impact on the global epidemic. Although the mortality rate in the United States is gradually declining, the number of infections and deaths is still increasing at a relatively rapid rate. At the regional scale, the New York epidemic is a hot spot in the United States and should be given high priority.
- Published
- 2020
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