An Easy-to-Use Public Health-Driven Method (the Generalized Logistic Differential Equation Model) Accurately Simulated COVID-19 Epidemic in Wuhan and Correctly Determined the Early Warning Time

• Main Authors: Zhuoyang Li (Author), Shengnan Lin (Author), Jia Rui (Author), Yao Bai (Author), Bin Deng (Author), Qiuping Chen (Author), Yuanzhao Zhu (Author), Li Luo (Author), Shanshan Yu (Author), Weikang Liu (Author), Shi Zhang (Author), Yanhua Su (Author), Benhua Zhao (Author), Hao Zhang (Author), Yi-Chen Chiang (Author), Jianhua Liu (Author), Kaiwei Luo (Author), Tianmu Chen (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

IntroductionModeling on infectious diseases is significant to facilitate public health policymaking. There are two main mathematical methods that can be used for the simulation of the epidemic and prediction of optimal early warning timing: the logistic differential equation (LDE) model and the more...