A Study on the Nonlinear Caputo-Type Snakebite Envenoming Model with Memory

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

CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, cilt.136, sa.3, ss.2487-2506, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 136 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.32604/cmes.2023.026009
  • Dergi Adı: CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Communication Abstracts, Compendex, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.2487-2506
  • Anahtar Kelimeler: Mathematical model, Caputo fractional derivative, L1-predictor-corrector method, error estimation, stability, graphical simulations, NUMERICAL-SIMULATION
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

In this article, we introduce a nonlinear Caputo-type snakebite envenoming model with memory. The well-known Caputo fractional derivative is used to generalize the previously presented integer-order model into a fractional -order sense. The numerical solution of the model is derived from a novel implementation of a finite-difference predictor-corrector (L1-PC) scheme with error estimation and stability analysis. The proof of the existence and positivity of the solution is given by using the fixed point theory. From the necessary simulations, we justify that the first-time implementation of the proposed method on an epidemic model shows that the scheme is fully suitable and time-efficient for solving epidemic models. This work aims to show the novel application of the given scheme as well as to check how the proposed snakebite envenoming model behaves in the presence of the Caputo fractional derivative, including memory effects.