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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

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