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February 2, 2026Journal of Mathematical Epidemiology0 citationsOpen Access

A Wavelet Framework for Fractional Epidemic Models with Delay

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MMMutaz MohammadATAlexander TrounevFRFathalla Rihan

Key Points

  • The aim is to develop a fractional-order epidemic model that accounts for delays and nonlinear factors in disease transmission.
  • Introduced a fractional derivative operator for modeling
  • Developed an efficient numerical scheme using Euler wavelet expansion
  • Analyzed fundamental properties of the model such as existence and stability
  • Demonstrated the influence of fractional order, time delay, and nonlinear incidence on epidemic dynamics
  • Established conditions for existence, uniqueness, and positivity of solutions
  • Analytical stability of equilibrium points and basic reproduction number was conducted

Abstract

A fractional-order epidemic model with a nonlinear incidence rate and a biologically motivated time delay is proposed using a new fractional derivative operator. The nonlinear incidence accounts for behavioral and psychological effects in disease transmission, while the delay represents latency and incubation periods. An efficient numerical scheme based on Euler wavelet expansion is developed to obtain approximate solutions of the resulting system. Fundamental analytical properties, including existence, uniqueness, and positivity of solutions, are established, and the stability of equilibrium points together with the basic reproduction number is analyzed. Numerical simulations demonstrate the influence of the fractional order, time delay, and nonlinear incidence on the qualitative dynamics of the epidemic model. The proposed framework generalizes several existing models and provides a unified approach for incorporating memory and delay effects in epidemic dynamics.

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Cite This Study

Mohammad et al. (2025) studied this question.

synapsesocial.com/papers/6980fd18c1c9540dea80ed82https://doi.org/10.64891/jome.15
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