  In this short note we model the region-wise trends of the evolution to
COVID-19 infections using a stochastic SIR model. The SIR dynamics are
expressed using \textit{It\^o-stochastic differential equations}. We first
derive the parameters of the model from the available daily data from European
regions based on a 24-day history of infections, recoveries and deaths. The
derived parameters have been aggregated to project future trends for the Indian
subcontinent, which is currently at an early stage in the infection cycle. The
projections are meant to serve as a guideline for strategizing the
socio-political counter measures to mitigate COVID-19.
