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_35
Snippet: In Scenario 1, based on the logistic model, we predicted the epidemic trends of the 8 countries. Table 1 and Appendix B list the detailed results of the prediction and growth trajectories of the 8 countries. For instance, the model placed the peak time of Italy as 50 days after its initial date of February 23, 2020, with a maximum number of infected individuals of approximately 97,442......
Document: In Scenario 1, based on the logistic model, we predicted the epidemic trends of the 8 countries. Table 1 and Appendix B list the detailed results of the prediction and growth trajectories of the 8 countries. For instance, the model placed the peak time of Italy as 50 days after its initial date of February 23, 2020, with a maximum number of infected individuals of approximately 97,442.
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