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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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| Izdano u: | Chaos Solitons Fractals |
|---|---|
| Glavni autori: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier Ltd.
2021
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| Teme: | |
| Online pristup: | 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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