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_51
Snippet: The logistic model may fit the existing data better when compared with the SEIR model, since it is trained from the existing data, but it cannot be accurately judged and incorporates infectious characteristics. Therefore, we believe that the logistic model is better for near-term predictions......
Document: The logistic model may fit the existing data better when compared with the SEIR model, since it is trained from the existing data, but it cannot be accurately judged and incorporates infectious characteristics. Therefore, we believe that the logistic model is better for near-term predictions.
Search related documents:
Co phrase search for related documents- logistic model and near term: 1, 2, 3
- logistic model and SEIR model: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19
- near term and SEIR model: 1, 2
Co phrase search for related documents, hyperlinks ordered by date