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Dynamics of Infectious Diseases Incorporating a Testing Compartment

Author

Listed:
  • Chayu Yang

    (Department of Mathematics, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Bo Deng

    (Department of Mathematics, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

Abstract

In this paper, we construct an infectious disease model with a testing compartment and analyze the existence and stability of its endemic states. We obtain the basic reproduction number, R 0 , and demonstrate the existence of one endemic equilibrium without testing and one endemic equilibrium with testing and prove their local and global stabilities based on the value of the basic reproduction number, R 0 . We then apply our model to the US COVID-19 pandemic and find that, for a large parameter set, including those relevant to the SARS-CoV-2 virus, our analytic and numerical results suggest that the trajectories will be trapped to the testing-free state when the testing number is small enough. This indicates that the pandemic may end with a testing-free endemic state through a novel and surprising mechanism called stochastic trapping.

Suggested Citation

  • Chayu Yang & Bo Deng, 2024. "Dynamics of Infectious Diseases Incorporating a Testing Compartment," Mathematics, MDPI, vol. 12(12), pages 1-18, June.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:12:p:1797-:d:1411510
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    References listed on IDEAS

    as
    1. Higazy, M., 2020. "Novel fractional order SIDARTHE mathematical model of COVID-19 pandemic," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    2. Md Asiful Islam & Shoumik Kundu & Sayeda Sadia Alam & Tareq Hossan & Mohammad Amjad Kamal & Rosline Hassan, 2021. "Prevalence and characteristics of fever in adult and paediatric patients with coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis of 17515 patients," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
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