Data-driven modeling and forecasting of COVID-19 outbreak for public policy making

This paper presents a data-driven approach for COVID-19 modeling and forecasting, which can be used by public policy and decision makers to control the outbreak through Non-Pharmaceutical Interventions (NPI). First, we apply an extended Kalman filter (EKF) to a discrete-time stochastic augmented com...

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Detalles Bibliográficos
Autores principales: Hasan, A., Putri, E.R.M., Susanto, H., Nuraini, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: ISA. Published by Elsevier Ltd. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816594/
https://www.ncbi.nlm.nih.gov/pubmed/33487397
http://dx.doi.org/10.1016/j.isatra.2021.01.028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816594/
https://www.ncbi.nlm.nih.gov/pubmed/33487397
http://dx.doi.org/10.1016/j.isatra.2021.01.028

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