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Using a genetic algorithm to fit parameters of a COVID-19 SEIR model for US states
BACKGROUND: A Susceptible–Exposed–Infected–Removed (SEIR) model was developed to forecast the spread of the novel coronavirus (SARS-CoV-2) in the United States and the implications of re-opening and hospital resource utilization. The model relies on the specification of various parameters that char...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V.
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881743/ https://www.ncbi.nlm.nih.gov/pubmed/33612959 http://dx.doi.org/10.1016/j.matcom.2021.01.022 |