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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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| Vydáno v: | Appl Soft Comput |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier B.V.
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7687495/ https://ncbi.nlm.nih.gov/pubmed/33269029 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.asoc.2020.106932 |
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