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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...
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| Опубликовано в: : | Annu Rev Control |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Published by Elsevier Ltd.
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8030732/ https://ncbi.nlm.nih.gov/pubmed/33850441 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.arcontrol.2021.03.008 |
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