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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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Detalhes bibliográficos
Publicado no:Chaos Solitons Fractals
Main Authors: Song, Jialu, Xie, Hujin, Gao, Bingbing, Zhong, Yongmin, Gu, Chengfan, Choi, Kup-Sze
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier Ltd. 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8017556/
https://ncbi.nlm.nih.gov/pubmed/33824550
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chaos.2021.110922
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