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May 16, 2026International Journal of Biomathematics0 citations

Bifurcation analysis of a delayed nonlocal reaction-diffusion system for SARS-CoV-2 infection

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JXJiangxue XuGFGuihong FanZJZhen Jin

Key Points

  • To analyze a reaction-diffusion system for SARS-CoV-2 infection focusing on interferon effects and spatial factors.
  • Developed a novel reaction-diffusion model incorporating time delay and nonlocal infections.
  • Analyzed local and global Hopf bifurcations using the basic reproductive ratio as a key parameter.
  • Conducted numerical simulations to investigate infection dynamics under various conditions.
  • Identified 𝓡 0 as crucial for understanding viral spread.
  • Demonstrated that delayed antiviral responses can create periodic oscillations in infections.
  • Showed that enhancing interferon effects and increasing diffusion rates can suppress infection dynamics.

Abstract

Interferons induce an antiviral state in healthy susceptible cells, effectively suppressing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. To identify effective interventions during SARS-CoV-2 infection in spatially heterogeneous environments, we develop a novel reaction-diffusion system that incorporates interferon effects, nonlocal infections, and time delay. The basic reproductive ratio (𝓡 0 ) is defined and the threshold dynamics are analyzed. For the spatially homogeneous system, the local Hopf bifurcation at the infection steady state is demonstrated by taking the time delay as the bifurcation parameter, and the global Hopf bifurcation theory is applied to obtain the global extension of periodic solutions. Numerical simulations indicate that: (i)𝓡 0 is a key threshold for viral spread; (ii) the delayed effect of the antiviral responses can induce periodic oscillations of SARS-CoV-2 infection, increasing the difficulty of controlling viral infections; (iii) enhancing the antiviral effects of interferons, initiating interferon responses earlier, and increasing the diffusion rates of productively infected cells and viruses can all effectively control the scale of SARS-CoV-2 infection; and (iv) spatial diffusion and nonlocal infections can effectively regulate and suppress SARS-CoV-2 infection dynamics. This study provides a theoretical basis for understanding SARS-CoV-2 infection mechanisms and designing antiviral strategies.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/6a080b38a487c87a6a40d6f5https://doi.org/10.1142/s1793524526500543
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