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Forecasting COVID-19 cases based on a parameter-varying stochastic SIR model
We address the prediction of the number of new cases and deaths for the coronavirus disease 2019 (COVID-19) over a future horizon from historical data (forecasting). We use a model-based approach based on a stochastic Susceptible–Infections–Removed (SIR) model with time-varying parameters, which cap...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Ltd.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8030732/ https://www.ncbi.nlm.nih.gov/pubmed/33850441 http://dx.doi.org/10.1016/j.arcontrol.2021.03.008 |