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April 15, 2026European Journal of Applied Mathematics0 citationsOpen Access

On the dynamics of a diffusive SEIRS epidemic model

KCKeoni CastellanoRSRachidi B. SalakoSXShuwen Xue

Key Points

  • The study aims to explore the behavior of solutions in a diffusive SEIRS epidemic model within heterogeneous environments.
  • Analyzed a SEIRS epidemic model with mass-action incidence in spatially heterogeneous settings.
  • Established global existence of classical solutions under minimal initial conditions.
  • Defined the basic reproduction number and examined stability of the disease-free equilibrium.
  • Investigated the impact of population movement on disease persistence and endemic equilibria.
  • Global existence of classical solutions was confirmed under set conditions.
  • Disease-free equilibrium is globally stable when the reproduction number is low.
  • Disease persistence can occur even with a reproduction number slightly less than one.
  • Establishment of multiple endemic equilibrium solutions under certain transmission scenarios.

Abstract

Abstract This work investigates the dynamics of positive classical solutions to a diffusive susceptible-exposed-infected-recovered-susceptible epidemic model with a mass-action incidence mechanism in spatially heterogeneous environments. Under minimal assumptions on the initial data, the global existence of classical solutions is established. Moreover, the eventual boundedness of these solutions is proved when either the spatial domain has dimension five or lower or the susceptible and exposed subpopulations share the same diffusion rate. Next, we define the basic reproduction number, R₀, and demonstrate that the disease-free equilibrium is globally stable when R₀ is sufficiently small. However, due to the complex interaction between population movement and spatial variation in transmission rates, we find that the disease may persist even when R₀ is slightly less than one. In such cases, we show that the system admits at least two endemic equilibrium (EE) solutions, an outcome not observed under the frequency-dependent incidence mechanism. These results highlight the significant influence of the transmission mechanism on disease dynamics. Furthermore, we examine the spatial profiles of the EE solutions when diffusion rates are small. Our analysis suggests that limiting the movement of the susceptible population can significantly reduce disease prevalence, provided that the total population remains below a specific threshold. In contrast, restricting the movement of the infected, exposed, or recovered populations alone may not eradicate the disease. Overall, our findings provide important insights into the spatial dynamics of infectious diseases and may offer guidance for developing and implementing effective containment strategies.

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Cite This Study

Castellano et al. (2026) studied this question.

synapsesocial.com/papers/69df2cb9e4eeef8a2a6b1feehttps://doi.org/10.1017/s0956792526100369
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