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On efficient numerical approaches for the study of the interactive dynamics of fractional eco-epidemiological models

  • Received: 13 January 2023 Revised: 08 March 2023 Accepted: 15 March 2023 Published: 07 April 2023
  • MSC : 26A33, 37N25, 74S30, 91B50

  • The present study aims to consider a mathematical eco-epidemiological model involving two fractional operators. To this end, we provide approximate solutions to these fractional systems through the application of a numerical technique that is based on the rule of product integration. This feature contributes greatly to the efficiency and effectiveness of both methods. We have also presented some theoretical discussions related to the equilibrium points of the system. Further, several numerical simulations are presented in order to illustrate the impact of choosing different parameters on the dynamics of the model. It is demonstrated that the obtained numerical results are completely consistent with the expected theoretical results. Moreover, both techniques can be used to solve other problems in epidemiology and describe other problems in the future. The article's model has never been studied via the employed fractional operators, and this is a distinct point for our work and other existing research.

    Citation: Reny George, Shahram Rezapour, Mohammed Shaaf Alharthi, A. F. Aljohani, B. Günay. On efficient numerical approaches for the study of the interactive dynamics of fractional eco-epidemiological models[J]. AIMS Mathematics, 2023, 8(6): 13503-13524. doi: 10.3934/math.2023685

    Related Papers:

  • The present study aims to consider a mathematical eco-epidemiological model involving two fractional operators. To this end, we provide approximate solutions to these fractional systems through the application of a numerical technique that is based on the rule of product integration. This feature contributes greatly to the efficiency and effectiveness of both methods. We have also presented some theoretical discussions related to the equilibrium points of the system. Further, several numerical simulations are presented in order to illustrate the impact of choosing different parameters on the dynamics of the model. It is demonstrated that the obtained numerical results are completely consistent with the expected theoretical results. Moreover, both techniques can be used to solve other problems in epidemiology and describe other problems in the future. The article's model has never been studied via the employed fractional operators, and this is a distinct point for our work and other existing research.



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