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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Detalles Bibliográficos
Autores principales: Hespanha, João P., Chinchilla, Raphael, Costa, Ramon R., Erdal, Murat K., Yang, Guosong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd. 2021
Materias:
Article
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

Internet

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

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