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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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| Publicado no: | Appl Soft Comput |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier B.V.
2021
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| Assuntos: | |
| Acesso em linha: | 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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