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Optimal study on fractional fascioliasis disease model based on generalized Fibonacci polynomials

  • Zakieh Avazzadeh
  • , Hossein Hassani
  • , Praveen Agarwal
  • , Samrad Mehrabi
  • , Mohammad Javad Ebadi
  • , M. Kazem Hosseini Asl
  • University of South Africa
  • International College of Engineering
  • Shiraz University of Medical Sciences
  • Chabahar Maritime University

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Fascioliasis is a liver fluke disease in which food and water are the transmitting agents. The disease is caused by a genus of Fasciola, parasitic Trematoda. The genus Fasciola includes two species of Fasciola gigantica and Fasciola hepatica. The study of this disease is of particular importance as the infected cases are globally growing, especially in endemic areas. In this paper, a fractional-order mathematical model is presented for fascioliasis disease. The optimization method is an effective choice in solving mathematical models of epidemic diseases. The study aims at presenting a new set of generalized Fibonacci polynomials as basic functions and some innovative operational matrices of derivatives in the Caputo sense to solve the fascioliasis disease model. The numerical experiments reveal better results and simulations show effectiveness of the presented method.

Original languageEnglish
Pages (from-to)9332-9350
Number of pages19
JournalMathematical Methods in the Applied Sciences
Volume46
Issue number8
DOIs
StatePublished - 30 May 2023
Externally publishedYes

Keywords

  • domestic animals
  • environmental sources
  • fractional fascioliasis disease model
  • generalized Fibonacci polynomials
  • humans
  • immune
  • infect

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