 This study explores the use of Google's Community Mobility Reports, CMHRS, to assess the role of mobility in spreading COVID-19 infection in India. The study found that mobility decreased significantly during the lockdown compared to the reference period, and there was a negative correlation between residential mobility and all other measures of mobility. The study also observed a high correlation coefficient between epidemiological and mobility indicators for the lockdown and unlock phases compared to the pre-lockdown phase, suggesting that mobile-based open-source mobility data can be used to assess the effectiveness of social distancing and mitigating disease spread. This article was authored by Kamal Khashor, Vdishi Josswal, Madhav Arma, and others.