Analysis on the Transmission of COVID-19 and Countermeasures Based on Data Visualization | |
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( Volume 6 Issue 10,October 2020 ) OPEN ACCESS | |
Author(s): | |
Wei Aobo, Liu Tongna, Xu Lilin, Qian Xiangyi | |
Abstract: | |
COVID-19 (Corona Virus Disease 2019) has been controlled largely in China, but it is still of great important to review the situation at the earliest stage, countermeasures and experience, as well as the problems. In this present paper, the spread and development of the epidemic situation are reviewed based on Baidu big data and the data released by health commissions, the phenomenon and correlation are studied, and the population migration, population base and economic development level of the provinces before and after Wuhan lockdown on January 23, 2020 are compared. It is concluded that the number of COVID-19 patients is correlated with the above three factors. Namely, there is generally a higher incidence rate in the regions with more migration population, larger population base and higher economic level. Using the epidemiological model, we carry out the evolutionary computation against the transmission of COVID-19, discuss the problems existing in the early prevention and control, and propose several measures and suggestions available for reference. |
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