Forecasting Covid-19 Transmission with ARIMA and LSTM Techniques in Morocco

In this paper, we are interested to forecast and predict the time evolution of the Covid-19 in Morocco based on two different time series forecasting models. We used Auto-Regressive Integrated Moving Average (ARIMA) and Long short-term memory (LSTM) models to predict the outbreak of Covid-19 in the...

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Detalles Bibliográficos
Autores principales: Rguibi, Mohamed Amine, Moussa, Najem, Madani, Abdellah, Aaroud, Abdessadak, Zine-dine, Khalid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758931/
https://www.ncbi.nlm.nih.gov/pubmed/35043096
http://dx.doi.org/10.1007/s42979-022-01019-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758931/
https://www.ncbi.nlm.nih.gov/pubmed/35043096
http://dx.doi.org/10.1007/s42979-022-01019-x

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