Sinan, MuhammadShah, KamalAbdeljawad, ThabetAkgül, Ali2024-12-242024-12-2420232687-4539https://doi.org10.51537/chaos.1210461https://hdl.handle.net/20.500.12604/4071Short memory and long memory terms are excellently explained using the concept of piecewise fractional order derivatives. In this research work, we investigate dynamical systems addressing COVID-19 under piecewise equations with fractional order derivative (FOD). Here, we study the sensitivity of the proposed model by using some tools from the nonlinear analysis. Additionally, we develop a numerical scheme to simulate the model against various fractional orders by using Matlab 2016. All the results are presented graphically. © 2023 Chaos Theory and Applications. All rights reserved.eninfo:eu-repo/semantics/openAccessCrossover behaviorMathematical biologyNonlinear dynamical systemSensitivity analysisAnalysis of Nonlinear Mathematical Model of COVID-19 via Fractional-Order Piecewise DerivativeArticle512733Q12-s2.0-8517009766310.51537/chaos.1210461