  SARS-COV-2 has stopped the world in its footsteps and a third of the
population has been forced to stay at home. Here we present a comparative study
of the performance of states of India, in curbing the spread of the disease,
that are most affected by the pandemic. We have done so based on the data
collected between 14th March, 2020 to 17th April, 2020. We do this by comparing
the smoothened time series and percentage changes along with change point
detection of the daily confirmed cases. We also discuss the different policies
and strategies adopted by the states in curbing the disease and the ground
level implementation. We have developed ARIMA(p,d,q) models where (p,d,q) are
obtained by minimising the AIK(Akaike Information Criterion). These models are
used to make forecasts for the country which show that by 7th May, 2020, India
would have around 50,237 confirmed cases and a doubling rate of 11 days. On the
basis of the performance, of each state, we argue that a local level strategy
which is based on the demographics of that particular region be developed
instead of a central and uniform one.
