Maximum likelihood-based extended Kalman filter for COVID-19 prediction

Prediction of COVID-19 spread plays a significant role in the epidemiology study and government battles against the epidemic. However, the existing studies on COVID-19 prediction are dominated by constant model parameters, unable to reflect the actual situation of COVID-19 spread. This paper present...

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Detalles Bibliográficos
Autores principales: Song, Jialu, Xie, Hujin, Gao, Bingbing, Zhong, Yongmin, Gu, Chengfan, Choi, Kup-Sze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017556/
https://www.ncbi.nlm.nih.gov/pubmed/33824550
http://dx.doi.org/10.1016/j.chaos.2021.110922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8017556/
https://www.ncbi.nlm.nih.gov/pubmed/33824550
http://dx.doi.org/10.1016/j.chaos.2021.110922

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