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, Page 952-966 PDF (433.05 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/msaeng.2023.291923 | ||||
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Authors | ||||
Mohamed Khalil 1; 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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