Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches

Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches

Introduction: COVID-19 has become a global concern because it has extensive damage to health, social and economic systems worldwide. Consequently, there is an urgent need to develop tools to understand, analyze, monitor and control further outbreaks of the disease. Methodology: The Susceptible I...

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Bibliographic Details
Main Authors: Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani
Format: Article
Language:English
Published: The Journal of Infection in Developing Countries 2022-01-01
Series:Journal of Infection in Developing Countries
Subjects:
COVID-19 epidemic
dynamics modeling
prediction
SIR-PSO model
FF-ANN
performance metrics
Online Access:https://jidc.org/index.php/journal/article/view/15004
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