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Ever since the coronavirus outbreak, CSIR has been keeping a close watch on the dynamics, spread and distribution of the SARS-CoV-2 virus through digital and molecular surveillance. While molecular surveillance involves large-scale sequencing of viral genomes, digital surveillance utilizes big data at the population level, such as data of confirmed cases, suspected cases, probable cases, contact cases through contact tracing (that may include asymptomatic as well). The data so generated is closely analysed to interpret the spread of the disease and facilitate the government to take necessary action on a timely basis and mitigate community-level transmission of SARS-CoV-2. 

Based on the model developed by CSIR, prediction in May for Delhi and Mumbai have been accurate. Using tracing and call data, current hotspots have been identified. Data was taken from Aarogya Setu and Setu Mitr to build maps and trends were built and analyzed, in combination with actual RT-PCR data. The percentage of positivity was found to be a strong trend predictor. Municipal Councils were provided with the prediction of the outbreak.