A delayed plant disease model with Caputo fractional derivatives

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Kumar P., BALEANU D., Ertürk V. S., Inc M., Govindaraj V.

ADVANCES IN CONTINUOUS AND DISCRETE MODELS, vol.2022, no.1, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 2022 Issue: 1
  • Publication Date: 2022
  • Doi Number: 10.1186/s13662-022-03684-x
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Fractional mathematical model, Crowding effect, Disease resistance, Incubation period, Caputo fractional derivative, Predictor-corrector algorithm, Time-delay, DIFFERENTIAL-EQUATIONS, DYNAMICS, EPIDEMIOLOGY
  • Ondokuz Mayıs University Affiliated: Yes


We analyze a time-delay Caputo-type fractional mathematical model containing the infection rate of Beddington-DeAngelis functional response to study the structure of a vector-borne plant epidemic. We prove the unique global solution existence for the given delay mathematical model by using fixed point results. We use the Adams-Bashforth-Moulton P-C algorithm for solving the given dynamical model. We give a number of graphical interpretations of the proposed solution. A number of novel results are demonstrated from the given practical and theoretical observations. By using 3-D plots we observe the variations in the flatness of our plots when the fractional order varies. The role of time delay on the proposed plant disease dynamics and the effects of infection rate in the population of susceptible and infectious classes are investigated. The main motivation of this research study is examining the dynamics of the vector-borne epidemic in the sense of fractional derivatives under memory effects. This study is an example of how the fractional derivatives are useful in plant epidemiology. The application of Caputo derivative with equal dimensionality includes the memory in the model, which is the main novelty of this study.