Analyzing and forecasting COVID ‐19 pandemic in the Kingdom of Saudi Arabia using ARIMA and SIR models-Reference-Cited by-同舟云学术

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Analyzing and forecasting COVID ‐19 pandemic in the Kingdom of Saudi Arabia using ARIMA and SIR models

Published:2020-10-05 Issue: Volume: Page:
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:Computational Intelligence

Author:

Abuhasel Khaled Ali¹^ORCID,Khadr Mosaad²³,Alquraish Mohammed M.¹

Affiliation:

1. Department of Mechanical Engineering, College of Engineering University of Bisha Bisha Kingdom of Saudi Arabia

2. Department of Civil Engineering, College of Engineering University of Bisha Bisha Kingdom of Saudi Arabia

3. Department of Irrigation and Hydraulic Engineering, Faculty of Engineering Tanta University Tanat Egypt

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/coin.12407

Reference44 articles.

1. HuangC‐J ChenY‐H MaY KuoP‐H.Multiple‐input deep convolutional neural network model for COVID‐19 forecasting in China medRxiv; 2020.

2. The novel zoonotic COVID-19 pandemic: An expected global health concern

3. Early dynamics of transmission and control of COVID-19: a mathematical modelling study

4. A cascade of causes that led to the COVID‐19 tragedy in Italy and in other European Union countries;Rudan I;J Glob Health,2020

5. ZiffAL ZiffRM.Fractal kinetics of COVID‐19 pandemics (with update 3/1/20) medRxiv; 2020.

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4. Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic;World Journal of Clinical Cases;2023-10-16

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