Forecasting COVID-19 daily cases using phone call data

The need to forecast COVID-19 related variables continues to be pressing as the epidemic unfolds. Different efforts have been made, with compartmental models in epidemiology and statistical models such as AutoRegressive Integrated Moving Average (ARIMA), Exponential Smoothing (ETS) or computing inte...

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Detalles Bibliográficos
Autores principales: Rostami-Tabar, Bahman, Rendon-Sanchez, Juan F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687495/
https://www.ncbi.nlm.nih.gov/pubmed/33269029
http://dx.doi.org/10.1016/j.asoc.2020.106932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7687495/
https://www.ncbi.nlm.nih.gov/pubmed/33269029
http://dx.doi.org/10.1016/j.asoc.2020.106932

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