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Corona COVID-19 spread - a nonlinear modeling and simulation()
This paper presents a non-linear model to simulate and predict the spreading of the newly discovered disease caused by a new series of a Novel Coronavirus (COVID-19). The mathematical modeling in this study is based on the Susceptible Infected Recovery (SIR) model, where key controlling parameters a...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7556807/ https://www.ncbi.nlm.nih.gov/pubmed/33078033 http://dx.doi.org/10.1016/j.compeleceng.2020.106884 |