Theory and Modern Applications
From: Mathematical model of COVID-19 spread in Turkey and South Africa: theory, methods, and applications
Φ: The rate at which recovered and were vaccinated |
\(\mu _{1}\): Turkish natural mortality rate |
α(x): The infection force |
β: Transmission rate of \(I_{D} ( t )\) class |
γ: Transmission rate of \(I_{A} ( t )\) class |
\(\delta _{1}\): Transmission rate of \(I_{R} ( t )\) class |
ε: Proportion rate of detection relative to asymptomatic class |
θ: Proportion rate of detection relative to symptomatic class |
ξ: Rate that infected are not aware of their status |
η: Rate that infected are aware of their status |
μ: Rate that nontested join class \(I_{T} ( t )\) |
v: Rate that tested join class \(I_{T} ( t )\) |
τ: The mortality rate due to Covid-19 |
λ: Recovery rate of class I(t) |
κ: Recovery rate of class \(I_{A} ( t )\) |
ξ: Recovery rate of class \(I_{R} ( t )\) |
φ: Recovery rate of class \(I_{D} ( t )\) |
σ: Recovery rate of class \(I_{T} ( t )\) |
\(k_{1}\): Contact rate |
p: Proportion that a contact is sufficient enough to lead to transmission |
w: Transmission coefficient for the infected classes |
Λ: Recruitment rate into class S(t) |
\(\gamma _{1}\): Rate of vaccination |