A highly infectious disease caused by novel coronavirus spread in Wuhan city of Hubei province in China at the end of 2019. Through population migration, Covid-19 disease became pandemic and spread over more than 211 countries/territories across the globe, causing 12,14,466 confirmed cases of infected individuals and 67,767 confirmed deaths as of April 4, 2020. Mathematical models and computation techniques may play an important role in understanding this epidemic and contribute a lot in policy making to curb disease spreading in a more systematic and effective way. Here we want to propose a mathematical model taking into consideration the epidemiological features of Covid-19 and essential preventive measures. The outcomes will benefit the frontline health professionals and policy makers to define effective control mechanisms.
Comments