Abstract
The coronavirus disease (COVID-19) has been identified as a pandemic and affected almost whole world. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of this disease, is infecting Indian population since the last week of January 2020. The data were collected from January 30, 2020, to May 23, 2020, to analyze basic trend of COVID-19 cases in India targeting hotspot regions. To find the linear relationship between variables, that is, age, total positive cases, population, and population density data have been statistically analyzed. COVID-19 caused more than 5000 deaths till May 2020 in India. SARS-CoV-2 spread to several Indian cities with more than 100,000 positive cases. Total number of COVID-19 cases and total recovered cases followed the exponential distribution, while number of deaths showed linear behavior. Nearly 50% of the youth, that is, 20-40 years of age had been found to recover from the infection. As a lockdown cannot be a permanent solution, it is important to understand the nature of virus and learn "living with the virus" while minimizing its spreading at the same time.