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Table 1 Variables and parameters descriptions

From: Mathematical analysis of fractional-order Caputo’s derivative of coronavirus disease model via Laplace Adomian decomposition method

\(S(t)\) Susceptible population at given time t

\(V(t)\) Vaccinated population at given time t

\(E(t)\) Those that were exposed at given time t

\(I(t)\) Symptomatic and infectious individuals in the population at given time t

\(P(t)\) Super-spreader population at time given t

\(A(t)\) The infected but asymptomatic population at time t

\(H(t)\) Hospitalized population at time t

\(R(t)\) Recovering population at time t

\(F(t)\) Dead or fatality class population

\(\pi\) Recruitment rate

\(K_{1} I(t)S(t) + K_{2} H(t)S(t) + K_{3} P(t)S(t)\) is force of infection

\(\beta\) Measures human-to-human transmission coefficient

\(\beta^{^{\prime}}\) Measures transmission coefficient of a super-spreader

\(l\) measures the relative transmission risk of hospitalized individuals

\(\kappa\) the rate in which people leave the exposed class

\(\rho\) The rate at of recruiting the vaccinated individual

\(\omega\) The rate of losing the vaccination

\(\delta_{v}\) The death rate due to the vaccination

\(\rho_{1}\) fraction of change from exposed class to symptomatic

\(\rho_{2}\) Comparatively less people become super-spreaders when they are exposed

\(1 - \rho_{1} - \rho_{2}\) from the exposed to the asymptomatic class

\(\gamma_{a}\) the standard hospitalization rate for symptomatic super-spreader individuals

\(\gamma_{1}\), \(\gamma_{r}\) Hospitalized recovery rate

\(\delta_{i}\), \(\delta_{p}\), \(\delta_{h}\) Infected, super-spreader, and hospitalized populations' relative disease-related death rates