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Dengue Transmission Dynamics: A Fractional-Order Approach with Compartmental Modeling

  • Mutum Zico Meetei
  • , Shahbaz Zafar
  • , Abdullah A. Zaagan
  • , Ali M. Mahnashi
  • , Muhammad Idrees*
  • *Corresponding author for this work
  • Jazan University
  • The University of Lahore

Research output: Contribution to journalArticlepeer-review

Abstract

This work presents a quantitative analysis of the transmission dynamics of dengue using the Caputo–Fabrizio fractional-order derivative. It presents an extensive framework for modeling a dengue epidemic, including the various stages of infection and encompassing a wide range of transmission pathways. The proposed model is subjected to a rigorous qualitative study, including the determination of a non-negative solution, the assessment of the basic reproduction number, and an evaluation of local stability. Numerical solutions are obtained using the Newton method. The fractional-order operator, developed using the Caputo–Fabrizio approach, provides a refined perspective on the transmission dynamics of dengue. This study contributes to a deeper understanding of the disease’s transmission mechanisms, considering both fractional-order dynamics and diverse transmission routes, thus offering insights for enhanced disease management and control.

Original languageEnglish
Article number207
JournalFractal and Fractional
Volume8
Issue number4
DOIs
StatePublished - Apr 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • dengue epidemiology
  • fractional derivative
  • mathematical modeling
  • stability analysis

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