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_40
Snippet: In this paper, through analyzing the existing data of Hubei epidemic situation [11] , the corresponding model is established, and then the simulation is carried out. Here, we studied the main factors affecting the spread of COVID-19, such as the number of . 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......
Document: In this paper, through analyzing the existing data of Hubei epidemic situation [11] , the corresponding model is established, and then the simulation is carried out. Here, we studied the main factors affecting the spread of COVID-19, such as the number of . 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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