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Modelling the Transmission Dynamics of Meningitis among High and Low‐Risk People in Ghana with Cost‐Effectiveness Analysis

Author

Listed:
  • Nicholas Kwasi-Do Ohene Opoku
  • Reindorf Nartey Borkor
  • Andrews Frimpong Adu
  • Hannah Nyarkoah Nyarko
  • Albert Doughan
  • Edwin Moses Appiah
  • Biigba Yakubu
  • Isabel Mensah
  • Samson Pandam Salifu

Abstract

Meningitis is an inflammation of the meninges, which covers the brain and spinal cord. Every year, most individuals within sub‐Saharan Africa suffer from meningococcal meningitis. Moreover, tens of thousands of these cases result in death, especially during major epidemics. The transmission dynamics of the disease keep changing, according to health practitioners. The goal of this study is to exploit robust mechanisms to manage and prevent the disease at a minimal cost due to its public health implications. A significant concern found to aid in the transmission of meningitis disease is the movement and interaction of individuals from low‐risk to high‐risk zones during the outbreak season. Thus, this article develops a mathematical model that ascertains the dynamics involved in meningitis transmissions by partitioning individuals into low‐ and high‐risk susceptible groups. After computing the basic reproduction number, the model is shown to exhibit a unique local asymptotically stability at the meningitis‐free equilibrium E†, when the effective reproduction number R0

Suggested Citation

  • Nicholas Kwasi-Do Ohene Opoku & Reindorf Nartey Borkor & Andrews Frimpong Adu & Hannah Nyarkoah Nyarko & Albert Doughan & Edwin Moses Appiah & Biigba Yakubu & Isabel Mensah & Samson Pandam Salifu, 2022. "Modelling the Transmission Dynamics of Meningitis among High and Low‐Risk People in Ghana with Cost‐Effectiveness Analysis," Abstract and Applied Analysis, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:jnlaaa:v:2022:y:2022:i:1:n:9084283
    DOI: 10.1155/2022/9084283
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    References listed on IDEAS

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    1. Anouk M Oordt-Speets & Renee Bolijn & Rosa C van Hoorn & Amit Bhavsar & Moe H Kyaw, 2018. "Global etiology of bacterial meningitis: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.
    2. Samuel Nii Ardey Codjoe & Vivian Adams Nabie, 2014. "Climate Change and Cerebrospinal Meningitis in the Ghanaian Meningitis Belt," IJERPH, MDPI, vol. 11(7), pages 1-17, July.
    3. Ohene Opoku, Nicholas Kwasi-Do & Bader, Georg & Fiatsonu, Edem, 2021. "Controlling crime with its associated cost during festive periods using mathematical techniques," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    4. Nicholas Kwasi-Do Ohene Opoku & Cecilia Afriyie, 2020. "The Role of Control Measures and the Environment in the Transmission Dynamics of Cholera," Abstract and Applied Analysis, Hindawi, vol. 2020, pages 1-16, February.
    5. Nicholas Kwasi-Do Ohene Opoku & Cecilia Afriyie, 2020. "The Role of Control Measures and the Environment in the Transmission Dynamics of Cholera," Abstract and Applied Analysis, John Wiley & Sons, vol. 2020(1).
    6. Asamoah, Joshua Kiddy K. & Nyabadza, Farai & Jin, Zhen & Bonyah, Ebenezer & Khan, Muhammad Altaf & Li, Michael Y. & Hayat, Tasawar, 2020. "Backward bifurcation and sensitivity analysis for bacterial meningitis transmission dynamics with a nonlinear recovery rate," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
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