Author: Xiang Zhou; Na Hong; Yingying Ma; Jie He; Huizhen Jiang; Chun Liu; Guangliang Shan; Longxiang Su; Weiguo Zhu; Yun Long
Title: Forecasting the Worldwide Spread of COVID-19 based on Logistic Model and SEIR Model Document date: 2020_3_30
ID: 52zjm9jt_7
Snippet: We collected data on the epidemic situation of COVID-19 in eight high-risk countries located on three continents and compared the results with those of the logistic model and the SEIR model with different parameter setting scenarios. Data are from the Coronavirus COVID-19 Global Cases published by the Center for Systems Science and Engineering (CSSE) of Johns Hopkins University 9 . We used the existing reported data from January 23 to March 20, 2.....
Document: We collected data on the epidemic situation of COVID-19 in eight high-risk countries located on three continents and compared the results with those of the logistic model and the SEIR model with different parameter setting scenarios. Data are from the Coronavirus COVID-19 Global Cases published by the Center for Systems Science and Engineering (CSSE) of Johns Hopkins University 9 . We used the existing reported data from January 23 to March 20, 2020, for . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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