<p>The global emergence of human monkeypox (Mpox) necessitates stage-structured transmission models. We develop a compartmental framework with Prodromal, Rash, and Complication stages, identifying critical thresholds through bifurcation analysis. A transcritical bifurcation at <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq1.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="84" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta _c = 0.1507\)</EquationSource> </InlineEquation> day<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq2.gif" Format="GIF" Height="11" Rendition="HTML" Resolution="72" Type="Linedraw" Width="18" /> </InlineMediaObject> <EquationSource Format="TEX">\(^{-1}\)</EquationSource> </InlineEquation> separates stable disease-free equilibrium (<InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq3.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="89" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathcal {R}_0 = 0.3982\)</EquationSource> </InlineEquation>) from endemic spread. Normalized sensitivity analysis establishes transmission rate <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq4.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta\)</EquationSource> </InlineEquation> (<InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq5.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="77" /> </InlineMediaObject> <EquationSource Format="TEX">\(S_\theta = 1.000\)</EquationSource> </InlineEquation>) as the dominant epidemic driver, with mortality <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq6.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mu\)</EquationSource> </InlineEquation> (<InlineEquation ID="IEq7"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq7.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="90" /> </InlineMediaObject> <EquationSource Format="TEX">\(S_\theta = -0.662\)</EquationSource> </InlineEquation>) and progression rate <InlineEquation ID="IEq8"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq8.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma _1\)</EquationSource> </InlineEquation> (<InlineEquation ID="IEq9"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq9.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="90" /> </InlineMediaObject> <EquationSource Format="TEX">\(S_\theta = -0.422\)</EquationSource> </InlineEquation>) as key modulators. Intervention analysis reveals: (1) 22.7% outbreak reduction (95% CI: 19.4–25.1%) through prodromal case isolation (days 0-5) requiring 92% diagnostic accuracy; (2) Linear <InlineEquation ID="IEq10"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq10.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="22" /> </InlineMediaObject> <EquationSource Format="TEX">\(\mathcal {R}_0\)</EquationSource> </InlineEquation> response to transmission controls (0.0398 reduction per 10% <InlineEquation ID="IEq11"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq4.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta\)</EquationSource> </InlineEquation> decrease); (3) Phase-adaptive resource allocation (60% to transmission reduction) sustains subcritical operation. The framework advocates real-time <InlineEquation ID="IEq12"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq4.gif" Format="GIF" Height="17" Rendition="HTML" Resolution="72" Type="Linedraw" Width="15" /> </InlineMediaObject> <EquationSource Format="TEX">\(\beta\)</EquationSource> </InlineEquation> monitoring via wastewater surveillance and <InlineEquation ID="IEq13"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41598_2025_16303_Article_IEq8.gif" Format="GIF" Height="12" Rendition="HTML" Resolution="72" Type="Linedraw" Width="17" /> </InlineMediaObject> <EquationSource Format="TEX">\(\gamma _1\)</EquationSource> </InlineEquation>-optimized diagnostics.</p>

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Modeling the transmission dynamics of Mpox virus

  • Sani Rabiu,
  • Majid Khan Majahar Ali

摘要

The global emergence of human monkeypox (Mpox) necessitates stage-structured transmission models. We develop a compartmental framework with Prodromal, Rash, and Complication stages, identifying critical thresholds through bifurcation analysis. A transcritical bifurcation at \(\beta _c = 0.1507\) day \(^{-1}\) separates stable disease-free equilibrium ( \(\mathcal {R}_0 = 0.3982\) ) from endemic spread. Normalized sensitivity analysis establishes transmission rate \(\beta\) ( \(S_\theta = 1.000\) ) as the dominant epidemic driver, with mortality \(\mu\) ( \(S_\theta = -0.662\) ) and progression rate \(\gamma _1\) ( \(S_\theta = -0.422\) ) as key modulators. Intervention analysis reveals: (1) 22.7% outbreak reduction (95% CI: 19.4–25.1%) through prodromal case isolation (days 0-5) requiring 92% diagnostic accuracy; (2) Linear \(\mathcal {R}_0\) response to transmission controls (0.0398 reduction per 10% \(\beta\) decrease); (3) Phase-adaptive resource allocation (60% to transmission reduction) sustains subcritical operation. The framework advocates real-time \(\beta\) monitoring via wastewater surveillance and \(\gamma _1\) -optimized diagnostics.