A dynamic nonlinear autoregressive exogenous model for the prediction of COVID-19 ‎cases in ‎Jordan-Reference-Cited by-同舟云学术

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

Published:2022-03-13 Issue:1 Volume:9 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

AlAlaween Wafa’ H.¹,Faouri Noor M.¹,Al-Omar Sarah H.¹,Hendaileh Elias M.¹,Almousa Aya Sama S.¹,AlAlawin Abdallah H.²,Abdallah Omar H.³,Albashabsheh Nibal T.¹,Khorsheed Bilal⁴,Abueed Omar A.¹

Affiliation:

1. Department of Industrial Engineering, The University of Jordan, Amman, Jordan

2. Department of Industrial Engineering, The Hashemite University, Zarqa, Jordan

3. Dnata, Queen Alia Airport, Jordan

4. Department of Chemical and Biological Engineering, The University of Sheffield, Sheffield, UK

Funder

King Abdullah II Fund for Development (KAFD) and Jordan Design and Development ‎Bureau (JODDB) ‎

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

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

Reference29 articles.

1. Investigation of effective climatology parameters on COVID-19 outbreak in Iran

2. SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain

3. Optimization Method for Forecasting Confirmed Cases of COVID-19 in China

4. A new integrated modelling architecture based on the concept of the fuzzy logic for the turning process

5. Transparent predictive modelling of the twin screw granulation process using a compensated interval type-2 fuzzy system

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