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Mathematical Modeling and Cost‐Effectiveness Analysis of an SeEeIeRe Typhoid Fever Model

Author

Listed:
  • Sacrifice Nana-Kyere
  • Joshua Kiddy K. Asamoah
  • Johnson De-Graft Ankamah
  • Eric Okyere
  • Baba Seidu
  • Daniel Kwarteng
  • Emmanuel Larbi Ayetey
  • James Kwabena Odum

Abstract

The complications induced by typhoid fever in the host are a significant concern for public health, with most countries in Sub‐Saharan Africa, Asia, and North America grappling with their worst typhoid cases and deaths owing to poor sanitation problems. We examined a nonlinear mathematical model for typhoid fever disease. This model explains how the disease spreads by testing its stability at both the typhoid‐free and typhoid‐present equilibriums. Thus, we used different mathematical tools to investigate the basic structure of the disease, such as Castillo–Chavez’s geometric method and the geometrical method of the Bendixson criterion for typhoid‐present equilibrium’s global stability. To understand the influential parameters in the typhoid reproduction number R0, a local and global sensitivity analysis of the model is carried out. We further apply the optimal control theory to the model, examining the impact of time‐dependent controls such as personal protection, vaccination, and treatment on disease dynamics. We provide the work’s simulated results as a framework for disease control. We then conducted a cost‐effectiveness study to determine which of the listed strategies was the most cost‐effective.

Suggested Citation

  • Sacrifice Nana-Kyere & Joshua Kiddy K. Asamoah & Johnson De-Graft Ankamah & Eric Okyere & Baba Seidu & Daniel Kwarteng & Emmanuel Larbi Ayetey & James Kwabena Odum, 2025. "Mathematical Modeling and Cost‐Effectiveness Analysis of an SeEeIeRe Typhoid Fever Model," Journal of Mathematics, John Wiley & Sons, vol. 2025(1).
  • Handle: RePEc:wly:jjmath:v:2025:y:2025:i:1:n:1212057
    DOI: 10.1155/jom/1212057
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    References listed on IDEAS

    as
    1. Xingyu Zhang & Yuanyuan Liu & Min Yang & Tao Zhang & Alistair A Young & Xiaosong Li, 2013. "Comparative Study of Four Time Series Methods in Forecasting Typhoid Fever Incidence in China," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.
    2. Asamoah, Joshua Kiddy K. & Jin, Zhen & Sun, Gui-Quan & Seidu, Baba & Yankson, Ernest & Abidemi, Afeez & Oduro, F.T. & Moore, Stephen E. & Okyere, Eric, 2021. "Sensitivity assessment and optimal economic evaluation of a new COVID-19 compartmental epidemic model with control interventions," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    3. repec:plo:pntd00:0001998 is not listed on IDEAS
    4. Mohammadi, Hakimeh & Kumar, Sunil & Rezapour, Shahram & Etemad, Sina, 2021. "A theoretical study of the Caputo–Fabrizio fractional modeling for hearing loss due to Mumps virus with optimal control," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    5. Joshua Kiddy K. Asamoah & Francis T. Oduro & Ebenezer Bonyah & Baba Seidu, 2017. "Modelling of Rabies Transmission Dynamics Using Optimal Control Analysis," Journal of Applied Mathematics, John Wiley & Sons, vol. 2017(1).
    6. 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).
    7. Joshua Kiddy K. Asamoah & Francis T. Oduro & Ebenezer Bonyah & Baba Seidu, 2017. "Modelling of Rabies Transmission Dynamics Using Optimal Control Analysis," Journal of Applied Mathematics, Hindawi, vol. 2017, pages 1-23, July.
    8. Sanubari Tansah Tresna & Subiyanto & Sudradjat Supian, 2022. "Mathematical Models for Typhoid Disease Transmission: A Systematic Literature Review," Mathematics, MDPI, vol. 10(14), pages 1-12, July.
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