<p>This study develops mathematical model for the B.1.1.529 SARS-CoV-2 Omicron Variant of COVID-19. This model examines and evaluates the essentials of positivity and boundedness. The reproduction number <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(R_0\)</EquationSource> <EquationSource Format="MATHML"><math> <msub> <mi>R</mi> <mn>0</mn> </msub> </math></EquationSource> </InlineEquation> is determined as <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(\rho (FV^{-1}) =\nu _3 \big ( \frac{\Gamma (\nu _8 + \nu _1 -1)}{(\nu _1+ \nu _2)(\nu _8+\nu _1)}+\frac{(\nu _4 -\nu _8 - \nu _1)(\nu _6(\nu _8+\nu _1) +\nu _1)}{\nu _9(\nu _8+\nu _1)}\big ) \big (\frac{1}{(\nu _1+\nu _{10}+\nu _{12}-\nu _7)}\big )\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>ρ</mi> <mrow> <mo stretchy="false">(</mo> <mi>F</mi> <msup> <mi>V</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <mo stretchy="false">)</mo> </mrow> <mo>=</mo> <msub> <mi>ν</mi> <mn>3</mn> </msub> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">(</mo> </mrow> <mfrac> <mrow> <mi mathvariant="normal">Γ</mi> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>8</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo>-</mo> <mn>1</mn> <mo stretchy="false">)</mo> </mrow> <mrow> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>2</mn> </msub> <mo stretchy="false">)</mo> </mrow> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>8</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> </mrow> </mfrac> <mo>+</mo> <mfrac> <mrow> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>4</mn> </msub> <mo>-</mo> <msub> <mi>ν</mi> <mn>8</mn> </msub> <mo>-</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>6</mn> </msub> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>8</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> <mo>+</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> </mrow> <mrow> <msub> <mi>ν</mi> <mn>9</mn> </msub> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>8</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo stretchy="false">)</mo> </mrow> </mrow> </mfrac> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">)</mo> </mrow> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">(</mo> </mrow> <mfrac> <mn>1</mn> <mrow> <mo stretchy="false">(</mo> <msub> <mi>ν</mi> <mn>1</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>10</mn> </msub> <mo>+</mo> <msub> <mi>ν</mi> <mn>12</mn> </msub> <mo>-</mo> <msub> <mi>ν</mi> <mn>7</mn> </msub> <mo stretchy="false">)</mo> </mrow> </mfrac> <mrow> <mo maxsize="1.2em" minsize="1.2em" stretchy="true">)</mo> </mrow> </mrow> </math></EquationSource> </InlineEquation> to find out whether the disease spreads further in Tamil Nadu. To protect the safety of the host population, this model incorporates COVID-19 vaccinations and quarantine measures. Our findings indicate that infection-free steady-state solutions are asymptotically stable both locally and globally when <InlineEquation ID="IEq3"> <EquationSource Format="TEX">\(R_0&lt;1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <msub> <mi>R</mi> <mn>0</mn> </msub> <mo>&lt;</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>, while infection-present steady-state solutions are also locally stable. The current pandemic Omicron variant data from Tamil Nadu, India, have been validated. Also, the error analysis was performed on the original data.</p>

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A deterministic nonlinear mathematical model for COVID-19 and analysis on a real dataset

  • S. Dickson,
  • S. Padmasekaran

摘要

This study develops mathematical model for the B.1.1.529 SARS-CoV-2 Omicron Variant of COVID-19. This model examines and evaluates the essentials of positivity and boundedness. The reproduction number \(R_0\) R 0 is determined as \(\rho (FV^{-1}) =\nu _3 \big ( \frac{\Gamma (\nu _8 + \nu _1 -1)}{(\nu _1+ \nu _2)(\nu _8+\nu _1)}+\frac{(\nu _4 -\nu _8 - \nu _1)(\nu _6(\nu _8+\nu _1) +\nu _1)}{\nu _9(\nu _8+\nu _1)}\big ) \big (\frac{1}{(\nu _1+\nu _{10}+\nu _{12}-\nu _7)}\big )\) ρ ( F V - 1 ) = ν 3 ( Γ ( ν 8 + ν 1 - 1 ) ( ν 1 + ν 2 ) ( ν 8 + ν 1 ) + ( ν 4 - ν 8 - ν 1 ) ( ν 6 ( ν 8 + ν 1 ) + ν 1 ) ν 9 ( ν 8 + ν 1 ) ) ( 1 ( ν 1 + ν 10 + ν 12 - ν 7 ) ) to find out whether the disease spreads further in Tamil Nadu. To protect the safety of the host population, this model incorporates COVID-19 vaccinations and quarantine measures. Our findings indicate that infection-free steady-state solutions are asymptotically stable both locally and globally when \(R_0<1\) R 0 < 1 , while infection-present steady-state solutions are also locally stable. The current pandemic Omicron variant data from Tamil Nadu, India, have been validated. Also, the error analysis was performed on the original data.