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Memory tracing in fractional-order modeling of HIV/AIDS: Analyzing periodic transmission, anxiety, economic constraints, and treatment barriers

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  • Kar, Silajit
  • Maiti, Dilip Kumar
  • Maiti, Atasi Patra

Abstract

This study introduces a new HIV/AIDS model utilizing the Caputo fractional-order derivative to capture disease dynamics under realistic conditions. The model incorporates media-driven awareness and local communication to inform susceptible populations, while accounting for how psychological anxiety impacts infection rates among aware individuals. We incorporated both fixed and periodic disease transmission rates into our model. It also includes a diagnostic process for identifying CD4+ T cell count in asymptomatic cases, alongside treatment functions that consider medical resource limitations to enhance real-world applicability. An individual’s economic status for accessing treatment is also taken into account. Both sides of the model equations are dimensionally balanced.

Suggested Citation

  • Kar, Silajit & Maiti, Dilip Kumar & Maiti, Atasi Patra, 2026. "Memory tracing in fractional-order modeling of HIV/AIDS: Analyzing periodic transmission, anxiety, economic constraints, and treatment barriers," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 242(C), pages 199-229.
  • Handle: RePEc:eee:matcom:v:242:y:2026:i:c:p:199-229
    DOI: 10.1016/j.matcom.2025.11.017
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    References listed on IDEAS

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    1. Hao, Yicheng & Luo, Yantao & Huang, Jianhua & Zhang, Long & Teng, Zhidong, 2025. "Analysis of a stochastic HIV/AIDS model with commercial heterosexual activity and Ornstein–Uhlenbeck process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 234(C), pages 50-72.
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