Forecasting the Stability of COVID-19 on Indian Dataset with Prophet Logistic Growth Model [post]

Nishtha Phutela, Arushi G Bakshi, Sunil Gupta, Goldie Gabrani
2020 unpublished
Recently COVID-2019, a highly infectious disease has been declared as Pandemic by WHO, and since then the researchers all over the world are making attempts to predict the likely progression of this pandemic using various mathematical models. In this paper, we are using logistic growth model to find out the stability of this pandemic and Prophet Model to forecast the total number of confirmed cases that would be caused by COVID-19 in India.
doi:10.21203/rs.3.rs-32472/v1 fatcat:4ed7sv5ubrf4nekj4emxr5lw2i