The prediction for development of COVID-19 in global major epidemic areas through empirical trends in China by utilizing state transition matrix model

The prediction for development of COVID-19 in global major epidemic areas through empirical trends in China by utilizing state transition matrix model

Abstract Background Since pneumonia caused by coronavirus disease 2019 (COVID-19) broke out in Wuhan, Hubei province, China, tremendous infected cases has risen all over the world attributed to its high transmissibility. We aimed to mathematically forecast the inflection point (IFP) of new cases in...

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Bibliographic Details
Main Authors: Zhong Zheng, Ke Wu, Zhixian Yao, Xinyi Zheng, Junhua Zheng, Jian Chen
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Infectious Diseases
Subjects:
Coronavirus disease 2019
Novel coronavirus pneumonia
Prediction
The state transition matrix model
Inflection point
Online Access:http://link.springer.com/article/10.1186/s12879-020-05417-5

Internet

http://link.springer.com/article/10.1186/s12879-020-05417-5

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