YUAN Hailong, CHONG Xiaoyan, DING Siyu. Bifurcation and Pattern Formation of a Susceptible-Infected-Recovered Model with Diffusion[J]. Wuhan Univ J of Nat Sci, 2026, 31(5): 481-499.
YUAN Hailong, CHONG Xiaoyan, DING Siyu. Bifurcation and Pattern Formation of a Susceptible-Infected-Recovered Model with Diffusion[J]. Wuhan Univ J of Nat Sci, 2026, 31(5): 481-499.DOI: 10.1051/wujns/2026315481.
Bifurcation and Pattern Formation of a Susceptible-Infected-Recovered Model with Diffusion
This paper investigates a susceptible-infected-recovered (SIR) epidemic model with diffusion. The model incorporates psychological impact coefficients
a
and
b
and employs a saturated incidence rate to characterize the psychological effects induced by the disease. First
a priori estimates for positive solutions are derived
and the nonexistence of nonconstant positive solutions is proved by the energy method. Second
the Turing instability of the positive equilibrium is analyzed
and the existence of nonconstant positive solutions is established by means of Leray‑Schauder degree theory. Subsequently
bifurcation theory is utilized to characterize the local and global structures of steady state bifurcations. Through spatial decomposition and the implicit function theorem
the local structure of steady state bifurcations at a double eigenvalue is constructed
and a criterion for judging the direction of bifurcation is derived. Finally
numerical simulations are performed to supplement and verify the theoretical results.
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references
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