  The dynamics of COVID-19 in India are captured using a set of delay
differential equations by dividing a constant population into six compartments.
The equilibrium points are calculated and stability analysis is performed.
Sensitivity analysis is performed on the parameters of the model. Bifurcation
analysis is performed and the critical delay is calculated. By formulating the
spread parameter as a function of temperature, the impact of temperature on the
population is studied. We concluded that with the decrease in temperature, the
average infections in the population increases. In view of the coming winter
season in India, there will be an increase in new infections. This model falls
in line with the characteristics that increase in isolation delay increases
average infections in the population.
