Author: LiXiang Li; ZiHang Yang; ZhongKai Dang; Cui Meng; JingZe Huang; HaoTian Meng; DeYu Wang; GuanHua Chen; JiaXuan Zhang; HaiPeng Peng
Title: Propagation analysis and prediction of the COVID-19 Document date: 2020_3_18
ID: nf51yjmj_10
Snippet: According to the curve of simulated infection number, we infer that by the end of March (yellow line + light blue line = dark blue line： Number of simulated cures+ Number of simulated deaths= Number of simulated infections), all cases will be basically treated, that is to say, more than 10000 cases in Hubei will be basically cured and cleared. Note: the number of cases of infection on December 24 is not zero. Because the data in Figure 1 is too.....
Document: According to the curve of simulated infection number, we infer that by the end of March (yellow line + light blue line = dark blue line： Number of simulated cures+ Number of simulated deaths= Number of simulated infections), all cases will be basically treated, that is to say, more than 10000 cases in Hubei will be basically cured and cleared. Note: the number of cases of infection on December 24 is not zero. Because the data in Figure 1 is too large, small data cannot be displayed. For this reason, according to the same distribution curve, we also give the simulation data results before December 24, and the simulation found that the initial infected people . CC-BY 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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