  Data analysis and visualization are essential for exploring and communicating
findings in medical research, especially in epidemiological surveillance. Data
on COVID-19 diagnosed cases and mortality, from crowdsourced website COVID-19
India Tracker, Census 2011, and Google Mobility reports have been used to
develop a real-time analytics and monitoring system for the COVID-19 outbreak
in India. We have developed a dashboard application for data visualization and
analysis of several indicators to follow the SARS-CoV-2 epidemic using data
science techniques. A district-level tool for basic epidemiological
surveillance, in an interactive and user-friendly manner which includes time
trends, epidemic curves, key epidemiological parameters such as growth rate,
doubling time, and effective reproduction number have been estimated. This
demonstrates the application of data science methods and epidemiological
techniques in public health decision-making while addressing the gap of timely
and reliable decision aiding tools.
