Mathematical Biosciences and Engineering (Jul 2023)

Dynamics of an SEIR model with media coverage mediated nonlinear infectious force

  • Jingli Xie,
  • Hongli Guo,
  • Meiyang Zhang

DOI
https://doi.org/10.3934/mbe.2023654
Journal volume & issue
Vol. 20, no. 8
pp. 14616 – 14633

Abstract

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Media coverage can greatly impact the spread of infectious diseases. Taking into consideration the impacts of media coverage, we propose an SEIR model with a media coverage mediated nonlinear infection force. For this novel disease model, we identify the basic reproduction number using the next generation matrix method and establish the global threshold results: If the basic reproduction number $ \mathcal{R}_{0} < 1 $, then the disease-free equilibrium $ P_{0} $ is stable, and the disease dies out. If $ \mathcal{R}_{0} > 1 $, then the endemic equilibrium $ P^{*} $ is stable, and the disease persists. Sensitivity analysis indicates that the basic reproduction number $ \mathcal{R}_{0} $ is most sensitive to the population recruitment rate $ \Lambda $ and the disease transmission rate $ \beta _{1} $.

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