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The outbreak prediction has become highly complicated for emerging scientific science due to the pandemic scenario of COVID-19 disease cases around the world. To accurately forecast the forecasts, many epidemiological mathematical models of spread are growing daily. In this analysis, to analysis the various parameters of this model for India, the classical susceptible-infected-recovered (SIR) modelling method was used. By considering various governmental lockdown initiatives in India, this method was studied [14].

Estimation of parameters of SIR model of India using an actual data set:

Fundamental models based on compartments, as seen in the following, were used for the epidemic mathematical model:

1 (Susceptible->Infectible) SI model,

2 (Susceptible->Infectible-> Susceptible) SIS model, and

3 (Susceptible->Infectible-> Recovery/Removed) SIR model.

The standard SIR model is basically a series of differential equations that can be classified as susceptible (if previously unexposed to pandemic disease), infected (if presently conquered by pandemic disease), and removed (either by death or recovery) [15].