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Optimizing pharmaceutical and non-pharmaceutical interventions in an age-structured epidemic model

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  • Das, Riya
  • Das, Dhiraj Kumar
  • Kar, T.K.

Abstract

Besides being transmitted through direct contact with infected individuals, infectious diseases are often transmitted through contact with contaminated inanimate objects, known as fomites. Therefore, in addition to conventional pharmaceutical interventions, environmental sanitation plays a crucial role in minimizing disease transmission. This study examines two different ways of disease transmission by incorporating an additional compartment into an age-dependent SIRS model framework, which represents the concentration of pathogens in fomites. The basic reproduction number, R0 is obtained for the model. It is found that R0 is a monotonic decreasing function with respect to the half-saturation level of environmental contamination. It possesses two steady states, disease-free and endemic. Their stability and uniform persistence criterion are obtained with respect to the threshold value R0, as it crosses the unit value. The model is further extended to an optimal control problem (OCP), which includes two control interventions (i) the age-dependent treatment of infected individuals and (ii) environmental sanitation. The existence and uniqueness of the OCP are examined utilizing the concept of Gâteaux derivative. The model is numerically simulated considering feasible age-dependent parameters to visualize the analytical results. Moreover, several solutions to the OCP are plotted considering both the presence or absence of the single or both control variables. It is found that each of the control interventions is capable of containing the disease spread. However, a combined control strategy with low-cost controls is most effective in minimizing disease transmission while the two routes of infection are considered.

Suggested Citation

  • Das, Riya & Das, Dhiraj Kumar & Kar, T.K., 2026. "Optimizing pharmaceutical and non-pharmaceutical interventions in an age-structured epidemic model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 241(PA), pages 449-475.
  • Handle: RePEc:eee:matcom:v:241:y:2026:i:pa:p:449-475
    DOI: 10.1016/j.matcom.2025.09.008
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    References listed on IDEAS

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    1. Nenchev, Vladislav, 2020. "Optimal quarantine control of an infectious outbreak," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    2. Das, Dhiraj Kumar & Kar, T.K., 2021. "Global dynamics of a tuberculosis model with sensitivity of the smear microscopy," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    3. Das, Dhiraj Kumar & Khajanchi, Subhas & Kar, T.K., 2020. "The impact of the media awareness and optimal strategy on the prevalence of tuberculosis," Applied Mathematics and Computation, Elsevier, vol. 366(C).
    4. Jana, Soovoojeet & Haldar, Palash & Kar, T.K., 2016. "Optimal control and stability analysis of an epidemic model with population dispersal," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 67-81.
    5. Das, Riya & Das, Dhiraj Kumar & Kar, Tapan Kumar, 2024. "Qualitative analysis of TB transmission dynamics considering both the age since latency and relapse," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 225(C), pages 939-967.
    6. K. Renee Fister & Holly Gaff & Suzanne Lenhart & Eric Numfor & Elsa Schaefer & Jin Wang, 2016. "Optimal Control of Vaccination in an Age-Structured Cholera Model," Springer Books, in: Gerardo Chowell & James M. Hyman (ed.), Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases, pages 221-248, Springer.
    7. Kumar Das, Dhiraj & Khatua, Anupam & Kar, T.K. & Jana, Soovoojeet, 2021. "The effectiveness of contact tracing in mitigating COVID-19 outbreak: A model-based analysis in the context of India," Applied Mathematics and Computation, Elsevier, vol. 404(C).
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