<p>We investigate the asymptotic behavior of a novel SIS reaction–diffusion epidemic model in a heterogeneous environment, incorporating nonlocal transmission instead of classical pointwise infection. Our approach examines how infected individuals transmit the disease over long distances through a nonlocal contagion mechanism. Specifically, we assume that susceptible individuals at location <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(x\)</EquationSource> <EquationSource Format="MATHML"><math> <mi>x</mi> </math></EquationSource> </InlineEquation> become infected through interactions with infected individuals located within a neighborhood <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\Omega _1(x)\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="normal">Ω</mi> <mn>1</mn> </msub> <mrow> <mo stretchy="false">(</mo> <mi>x</mi> <mo stretchy="false">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation>. For this nonlocal transmission model, we successfully identify the basic reproduction number <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(R_0\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation>. We establish the global existence and uniform boundedness of classical solutions, and we prove their convergence to nontrivial equilibrium states as <InlineEquation ID="IEq4"> <EquationSource Format="TEX">\(t \rightarrow +\infty \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>t</mi> <mo stretchy="false">→</mo> <mo>+</mo> <mi>∞</mi> </mrow> </math></EquationSource> </InlineEquation>. In particular, when <InlineEquation ID="IEq5"> <EquationSource Format="TEX">\(R_0 &gt; 1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mn>0</mn> </msub> <mo>&gt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, we analyze the asymptotic profiles of endemic equilibria under various scenarios for the dispersal coefficients <InlineEquation ID="IEq6"> <EquationSource Format="TEX">\(d_1\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>d</mi> <mn>1</mn> </msub> </math></EquationSource> </InlineEquation> and <InlineEquation ID="IEq7"> <EquationSource Format="TEX">\(d_2\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>d</mi> <mn>2</mn> </msub> </math></EquationSource> </InlineEquation>. These results demonstrate how nonlocal infection and environmental heterogeneity jointly shape the persistence and spatial distribution of the disease, providing a more realistic framework for understanding spatial epidemic dynamics.</p>

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Dynamics of a Reaction-Diffusion SIS Epidemic Model with Nonlocal Transmission

  • Salih Djilali

摘要

We investigate the asymptotic behavior of a novel SIS reaction–diffusion epidemic model in a heterogeneous environment, incorporating nonlocal transmission instead of classical pointwise infection. Our approach examines how infected individuals transmit the disease over long distances through a nonlocal contagion mechanism. Specifically, we assume that susceptible individuals at location \(x\) x become infected through interactions with infected individuals located within a neighborhood \(\Omega _1(x)\) Ω 1 ( x ) . For this nonlocal transmission model, we successfully identify the basic reproduction number \(R_0\) R 0 . We establish the global existence and uniform boundedness of classical solutions, and we prove their convergence to nontrivial equilibrium states as \(t \rightarrow +\infty \) t + . In particular, when \(R_0 > 1\) R 0 > 1 , we analyze the asymptotic profiles of endemic equilibria under various scenarios for the dispersal coefficients \(d_1\) d 1 and \(d_2\) d 2 . These results demonstrate how nonlocal infection and environmental heterogeneity jointly shape the persistence and spatial distribution of the disease, providing a more realistic framework for understanding spatial epidemic dynamics.