Simulations and fractional modeling of dengue transmission in Bangladesh

Math Biosci Eng. 2023 Mar 27;20(6):9891-9922. doi: 10.3934/mbe.2023434.

Abstract

Dengue is one of the most infectious diseases in the world. In Bangladesh, dengue occurs nationally and has been endemic for more than a decade. Therefore, it is crucial that we model dengue transmission in order to better understand how the illness behaves. This paper presents and analyzes a novel fractional model for the dengue transmission utilizing the non-integer Caputo derivative (CD) and are analysed using q-homotopy analysis transform method (q-HATM). By using the next generation method, we derive the fundamental reproduction number $ R_0 $ and show the findings based on it. The global stability of the endemic equilibrium (EE) and the disease-free equilibrium (DFE) is calculated using the Lyapunov function. For the proposed fractional model, numerical simulations and dynamical attitude are seen. Moreover, A sensitivity analysis of the model is performed to determine the relative importance of the model parameters to the transmission.

Keywords: basic reproduction number; fractional model; numerical simulations; q-Homotopy analysis method; sensitivity analysis; stability analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bangladesh / epidemiology
  • Dengue* / epidemiology
  • Humans
  • Reproduction*