SIR modelling of COVID-19 with cumulative cases, deaths, recovered and active cases in India


Sourav Das, Vikas Garg
Department of Statistics Chandigarh University, Mohali, Punjab, India.


COVID-19 which has spread internationally very rapidly and has become a pandemic. In this research paper, we set forward a statistical model called SIR-Poisson helps us to determine the spread of infectious disease of COVID-19 in India. The proposed SIR-Poisson model is able to predict the range of the infected cases in a future period. It is also used to detect the transmission of the COVID-19. Using the SIR-Poisson model and based on daily reported we attempted to predict the future disease period over 104 days.