Theory and Modern Applications
From: On the optimal control of coronavirus (2019-nCov) mathematical model; a numerical approach
Parameter | Description | Value (per \(da y^{\alpha } \)) |
---|---|---|
\(\pi _{p}^{\alpha } \) | Birth rate | \(( \mu _{p} \times N_{p} (0) )^{\alpha } \) |
\(\mu _{p}^{\alpha } \) | Natural mortality rate | \(( \frac{1}{76.79 \times 365} )^{\alpha } \) |
\(\eta _{p}^{\alpha } \) | Contact rate | \((0.05 )^{\alpha } \) |
\(\psi ^{\alpha } \) | Transmissibility multiple | \((0.02 )^{\alpha } \) |
\(\eta _{w}^{\alpha } \) | Disease transmission coefficient | \((0.000001231 )^{\alpha } \) |
\(\theta _{p}^{\alpha } \) | The proportion of asymptomatic infection | \((0.1243 )^{\alpha } \) |
\(w_{p}^{\alpha } \) | Incubation period | \((0.00047876 )^{\alpha } \) |
\(\rho _{p}^{\alpha } \) | Incubation period | \((0.005 )^{\alpha } \) |
\(\tau _{p}^{\alpha } \) | Recovery rate of \(I_{p}\) | \((0.09871 )^{\alpha } \) |
\(\tau _{ap}^{\alpha } \) | Recovery rate of \(A_{p}\) | \((0.854302 )^{\alpha } \) |
\(\varrho _{\alpha } \) | M-virus contribution by \(I_{p}\) | \((0.000398 )^{\alpha } \) |
\(\varpi _{p}^{\alpha } \) | M-virus contribution by \(A_{p}\) | \((0.001 )^{\alpha } \) |
\(\pi ^{\alpha } \) | Virus removing rate from M | \((0.01 )^{\alpha } \) |