  Pandemic outbreak creates a life threatening situation around the world and
for a while it feels as if it slows down the world. A lot of effort is being
taken to mitigate the spread of the pandemics. The main objective of this paper
is to build a mathematical model of the pandemic spread in India based on the
mass gathering using distribution functions and Bayesian approach. Subsequently
modeled the pandemic spread based on the flights arrived in India using
generalized linear regression. We validated the effect of these events in the
number of confirmed cases in India and formulated the number of confirmed cases
in the positive sense. Subsequently, studied the progression of the infective
using progression series and flattened the curve using an appropriate
convergence criterion. We validated the theoretical aspects with the statistics
released by the Government.
