ON COVID-19 MATHEMATICAL MODEL: THEORETICAL AND COMPUTATIONAL ANALYSIS USING ARTIFICIAL NEURAL NETWORKS

Authors

  • Naseer Ul Haq Department of Mathematics, University of Malakand, Chakdara Dir (Lower)
  • Shakil Ahmad Department of Mathematics, University of Malakand, Chakdara Dir (Lower)
  • 　 Eiman Department of Mathematics, University of Malakand, Chakdara Dir (Lower)
  • Sadique Ahmad EIAS Data Science and BlockChain Laboratory, College of Computer and Information Sciences, Prince Sultan University
  • Sajid Shah EIAS Data Science and BlockChain Laboratory, College of Computer and Information Sciences, Prince Sultan University
  • Mohammed A. Elaffendi EIAS Data Science and BlockChain Laboratory, College of Computer and Information Sciences, Prince Sultan University

Abstract

A COVID-19 mathematical model with fractional order derivative is investigated.The model is solved using the Fractional Differential Transform Method (FDTM) to obtaina convergent semi-analytical solution. Also, the considered mathematical model is thenstudied by a sophisticated artificial neural network (ANN) architecture. This multi-layerednetwork, trained via the Levenberg-Marquardt algorithm is used to perform robust datadrivenvalidation across three strategic operational cases. Some graphical illustrations aregiven.

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Published

2026-02-28

Issue

Volume 31, Number 1, March 2026

Section

Articles