Theory and Modern Applications
From: A mathematical model for the spread of COVID-19 and control mechanisms in Saudi Arabia
Parameters | Meaning | Values | Ref. |
---|---|---|---|
\(\alpha _{E}\) | Contact disease rate of a person in compartment E at time t | Estimated \(day^{-1}\) | Table 2 |
\(\alpha _{I_{U}}\) | Contact disease rate of a person in compartment \({I}_{U}\) at time t | Estimated \(day^{-1}\) | Table 2 |
\(\alpha _{I_{D}}\) | Contact disease rate of a person in compartment \({I}_{Diag}\) at time t | Estimated \(day^{-1}\) | Table 2 |
\(\beta _{E}\) | Transition rate of a person in compartment E at time t | Estimated \(day^{-1}\) | Table 2 |
\(\beta _{I_{U}}\) | Transition rate of a person in compartment \({I}_{U}\) at time t | Estimated \(day^{-1}\) | Table 2 |
\(\beta _{R_{U}}\) | Rate at which an undiagnosed infected person recovers at time t | Estimated \(day^{-1}\) | Table 2 |
\(\beta _{R_{D}}\) | Rate at which a diagnosed infected person recovers at time t | Estimated \(day^{-1}\) | Table 2 |
\(\beta _{Ex}\) | Rate at which a diagnosed infected person dies at time t | Estimated \(day^{-1}\) | Table 2 |
\(\mu _{L}\) | Reduction risk factor of infection in compartment \(S_{L}\) at time t | — | Table 2 |
ρ | Proportion of the population size N that is initially at higher risk of contracting the infection | 0.4 | [23] |
N | Total size of the population | 30⋅106 | — |