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

A simple Stochastic SIR model for COVID 19 Infection Dynamics for Karnataka: Learning from Europe