Stability and Persistence of an Age Structured Epidemic Model with Mutation and Vaccination

Authors

  • Xi-Chao Duan University of Shanghai for Science and Technology image/svg+xml
  • Xi-Na Li University of Shanghai for Science and Technology image/svg+xml
  • Xue-Zhi Li Henan Normal University image/svg+xml
  • Maia Martcheva University of Florida

DOI:

https://doi.org/10.4208/csiam-ls.SO-2024-0010

Abstract

In this paper, we propose an age-structured epidemic model with strain mutation and age-based vaccination. We define the reproduction numbers of both the original and mutant strains ($R_{0}^{1}$ and $R_{0}^{2}$). If the reproduction number $R_{0} < 1$, the disease-free steady state is locally asymptotically stable. If the reproduction number $R_{0}^{2} > 1$, there exists a dominant steady state of the mutant strain. Conditions for local stability of this dominant steady state are also obtained. If both reproduction numbers $R_{0}^{1}$ and $R_{0}^{2}$ are greater than 1, a coexistence steady state may occur. Finally, the uniform persistence of the disease described by our age-structured model is strictly proved when the reproduction number $R_{0}^{1} > 1.$ By using the data of the COVID-19 epidemic in Wuhan and the theoretical results obtained in this paper, some numerical calculations are carried out to demonstrate the effect of the age-based vaccination strategy.

Author Biographies

  • Xi-Chao Duan

    College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China

  • Xi-Na Li

    College of Science, University of Shanghai for Science and Technology, Shanghai 200093, China

  • Xue-Zhi Li

    School of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, China

  • Maia Martcheva

    Department of Mathematics, University of Florida, 358 Little Hall, PO Box 118105, Gainesville, FL 3261-8105, USA

Published

2025-10-09

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How to Cite

Stability and Persistence of an Age Structured Epidemic Model with Mutation and Vaccination. (2025). CSIAM Transactions on Life Sciences, 1(3), 438-465. https://doi.org/10.4208/csiam-ls.SO-2024-0010