Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review
Khalil, M., Said, M., El Sedfy, S., Ahmed, A., Khaled, M., Abdellah, N., Khaled, N. (2023). Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review. EKB Journal Management System, 2(2), 952-966. doi: 10.21608/msaeng.2023.291923
Mohamed Khalil; Mohamed Said; Shahd El Sedfy; Ahmed I. Ahmed; Mohamed Khaled; Nada Abdellah; Nada Khaled. "Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review". EKB Journal Management System, 2, 2, 2023, 952-966. doi: 10.21608/msaeng.2023.291923
Khalil, M., Said, M., El Sedfy, S., Ahmed, A., Khaled, M., Abdellah, N., Khaled, N. (2023). 'Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review', EKB Journal Management System, 2(2), pp. 952-966. doi: 10.21608/msaeng.2023.291923
Khalil, M., Said, M., El Sedfy, S., Ahmed, A., Khaled, M., Abdellah, N., Khaled, N. Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review. EKB Journal Management System, 2023; 2(2): 952-966. doi: 10.21608/msaeng.2023.291923

Mathematical Modelling of Fractional-order Covid-19 Pandemic With Memory Effect: A Review

MSA Engineering Journal
Volume 2, Issue 2 - Serial Number 6, March 2023, Pages 952-966    PDF (433.05 K)
Document Type: Original Article
DOI: 10.21608/msaeng.2023.291923
Authors
Mohamed Khalil1; Mohamed Said2; Shahd El Sedfy3; Ahmed I. Ahmed4; Mohamed Khaled5; Nada Abdellah5; Nada Khaled6
1GSE department, Faculty of Engineering, October University for Modern Sciences and Arts (MSA), Giza, Egypt
2GSE Department, Faculty of engineering, MSA University
3Computer Engineering department, Faculty of engineering, MSA University
4Engineering MSA University.
5Mechatronics department, Faculty of engineering, MSA University
6Mechatronics Engineering department, Faculty of engineering, MSA University
Abstract
 Mathematical models with memory effect play an important role in
the field of epidemiology. The fractional-order derivatives are
powerful tools to characterize the memory effect in the dynamical
systems of infectious diseases. Hence, we attempt to present a
systematic survey on the fractional-order compartmental models of
Covid-19 pandemic to explain how the fractional-order models have
been employed to study and forecast the spread of Covid-19
pandemic. Such non-integer order models can help decision makers
in control programs to put strategic plans to control Covid-19
outbreak.
Keywords
Fractional order models; Infectious diseases; COVID; 19 pandemic
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