  India was under a grave threat from the second wave of the COVID-19 pandemic
particularly in the beginning of May 2021. The situation appeared rather gloomy
as the number of infected individuals/active cases had increased alarmingly
during the months of May and June 2021 compared to the first wave peak. Indian
government/state governments have been implementing various control measures
such as lock-downs, setting up new hospitals, and putting travel restrictions
at various stages to lighten the virus spread from the initial outbreak of the
pandemic. Recently, we have studied the
susceptible-exposed-infectious-removed(SEIR) dynamic modelling of the epidemic
evolution of COVID-19 in India with the help of appropriate parameters
quantifying the various governmental actions and the intensity of individual
reactions. Our analysis had predicted the scenario of the first wave quite
well. In this present article, we extend our analysis to estimate and analyze
the number of infected individuals during the second wave of COVID-19 in India
with the help of the above SEIR model. Our findings show that the people's
individual effort along with governmental actions such as implementations of
curfews, accelerated vaccine strategy are the most important factors to control
the pandemic in the present situation and in the future.
