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Comparison of some forecasting methods for COVID-19
In this paper, we use forecasting methods such as Euler’s iterative method and cubic spline interpolation to predict the total number of people infected and the number of active cases for COVID-19 propagation. We construct a novel iterative method, which is based on cubic spline interpolation and Eu...
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| Publicat a: | Alexandria Engineering Journal |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University.
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7832450/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.aej.2020.11.011 |
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