Dynamical Variations of the Global COVID‐19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu

Dynamical Variations of the Global COVID‐19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu

Abstract The ongoing coronavirus disease 2019 (COVID‐19) pandemic has caused more than 150 million cases of infection to date and poses a serious threat to global public health. In this study, global COVID‐19 data were used to examine the dynamical variations from the perspectives of immunity and co...

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Bibliographic Details
Main Authors: Xia Wang, Gang Yin, Zengyun Hu, Daihai He, Qianqian Cui, Xiaomei Feng, Zhidong Teng, Qi Hu, Jiansen Li, Qiming Zhou
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-08-01
Series:GeoHealth
Subjects:
COVID‐19 pandemic
Koppen‐Geiger climate classification
periodic variation
scenario analysis
Online Access:https://doi.org/10.1029/2021GH000455

Internet

https://doi.org/10.1029/2021GH000455

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