A dynamic nonlinear autoregressive exogenous model for the prediction of COVID-19 ‎cases in ‎Jordan

A dynamic nonlinear autoregressive exogenous model for the prediction of COVID-19 ‎cases in ‎Jordan

Coronavirus (COVID-19) has captured the attention of the globe very rapidly. Therefore, predicting the spread of the disease has become an indispensable process, this is being due to its extremely infectious nature and due to the negative effects that some courses of actions, which were taken to min...

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Bibliographic Details
Main Authors: Wafa’ H. AlAlaween, Noor M. Faouri, Sarah H. Al-Omar, Elias M. Hendaileh, Aya Sama S. Almousa, Abdallah H. AlAlawin, Omar H. Abdallah, Nibal T. Albashabsheh, Bilal Khorsheed, Omar A. Abueed
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Cogent Engineering
Subjects:
COVID-19
nonlinear autoregressive exogenous model
spread of the disease
Online Access:https://www.tandfonline.com/doi/10.1080/23311916.2022.2047317

Internet

https://www.tandfonline.com/doi/10.1080/23311916.2022.2047317

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