Table 1.

Parameters with their respective epidemiological explanation for the mechanistic mathematical model (see Fig 1) for COVID-19.

Parameters	Epidemiological Meaning	Ranges	Reference
N	Total population	Varies over different region	[21]
ΠH = ${\displaystyle \mu \times N}$	Average recruitment rate	Varies over different region	–
${\displaystyle \frac{1}{\mu }}$	Average life expectancy at birth	Varies over states	[22]
β1	Transmission rate of symptomatic infected	(0 - 200) $da{y}^{-1}$	Estimated
ρ	Reduction in COVID-19 transmission for Asymptomatic infected	0 - 1	Estimated
${\displaystyle \frac{1}{\sigma }}$	COVID-19 incubation period	(2 - 14) days	Estimated
${\displaystyle \kappa }$	Fraction of exposed population that become symptomatic infected	0 - 1	Estimated
γ1	Recovery rate for asymptomatic infected	(γ3 - 1) $da{y}^{-1}$	Estimated
γ2	Recovery rate for symptomatic infected	(γ3 - 1) $da{y}^{-1}$	Estimated
τ	Average notification & hospitalization rate of symptomatic infection	(0 - 1) $da{y}^{-1}$	Estimated
δ	Average case fatality rate	Varies over states	[6]
γ3	Average recovery rate for COVID-19 hospitalized & notified infection	Varies over states	[6]
l	Average lockdown rate	(0 - 1) $da{y}^{-1}$	Estimated
$\frac{1}{\omega }$	lockdown period	54 days	[38]