<p>This research deals with a spatiotemporal viral infection epidemic model that incorporates double age-dependent susceptibility and infectivity. By using the semigroup theory, we determine the basic reproduction number, denoted as <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation>, which is identified as the spectral radius of the next-generation operator. Furthermore, we clarify the significance of the threshold represented by <InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation> and examine the impact of the dispersion coefficient <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq3.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="13" /> </InlineMediaObject> <EquationSource Format="TEX">\( d \)</EquationSource> <EquationSource Format="MATHML"><math> <mi>d</mi> </math></EquationSource> </InlineEquation> on <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation>. The main focus of this paper is to explore the role of <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="25" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 \)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation> as a threshold for the global stability of the steady states. Specifically, if <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq6.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="53" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 &lt; 1 \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> <mo>&lt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, we find that the virus-free steady state is globally asymptotically stable. Conversely, when <InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="33_2025_2466_Article_IEq7.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="53" /> </InlineMediaObject> <EquationSource Format="TEX">\( {\mathscr {R}}_0 &gt; 1 \)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi mathvariant="script">R</mi> <mn>0</mn> </msub> <mo>&gt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, it is demonstrated that the solution map remains uniformly persistent, leading to the global asymptotic stability of the positive steady state. The global stability result is obtained with the help of the Lyapunov method on the total trajectory system. Moreover, we examine the effect of a large diffusion rate on the positive steady state, providing valuable insights into how virus mobility influences the final size of the infection.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Stability and spatial profiles of a double age-dependent diffusive viral infection model with spatial heterogeneity

  • Abderrazak Nabti,
  • Salih Djilali,
  • Soufiane Bentout

摘要

This research deals with a spatiotemporal viral infection epidemic model that incorporates double age-dependent susceptibility and infectivity. By using the semigroup theory, we determine the basic reproduction number, denoted as \( {\mathscr {R}}_0 \) R 0 , which is identified as the spectral radius of the next-generation operator. Furthermore, we clarify the significance of the threshold represented by \( {\mathscr {R}}_0 \) R 0 and examine the impact of the dispersion coefficient \( d \) d on \( {\mathscr {R}}_0 \) R 0 . The main focus of this paper is to explore the role of \( {\mathscr {R}}_0 \) R 0 as a threshold for the global stability of the steady states. Specifically, if \( {\mathscr {R}}_0 < 1 \) R 0 < 1 , we find that the virus-free steady state is globally asymptotically stable. Conversely, when \( {\mathscr {R}}_0 > 1 \) R 0 > 1 , it is demonstrated that the solution map remains uniformly persistent, leading to the global asymptotic stability of the positive steady state. The global stability result is obtained with the help of the Lyapunov method on the total trajectory system. Moreover, we examine the effect of a large diffusion rate on the positive steady state, providing valuable insights into how virus mobility influences the final size of the infection.