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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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| Pubblicato in: | Annu Rev Control |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Published by Elsevier Ltd.
2021
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| Soggetti: | |
| Accesso online: | 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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