Extended Kalman filter based on stochastic epidemiological model for COVID-19 modelling

Author:

Zhu XinheORCID,Gao Bingbing,Zhong Yongmin,Gu Chengfan,Choi Kup-Sze

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference33 articles.

1. Mathematical Modeling of Epidemic Diseases; a Case Study of the COVID-19 Coronavirus;Sameni,2020

2. Tracking R of COVID-19: a new real-time estimation using the Kalman filter;Marioli;PloS One,2020

3. Publisher Correction: the effect of large-scale anti-contagion policies on the COVID-19 pandemic;Hsiang;Nature,2020

4. A novel compartmental model to capture the nonlinear trend of COVID-19;Ramezani;Comput. Biol. Med.,2021

5. COVID-19 infection: the perspectives on immune responses;Shi;Cell Death Differ.,2020

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