  Anticipating the quantity of new associated or affirmed cases with novel
coronavirus ailment 2019 (COVID-19) is critical in the counteraction and
control of the COVID-19 flare-up. The new associated cases with COVID-19
information were gathered from 20 January 2020 to 21 July 2020. We filtered out
the countries which are converging and used those for training the network. We
utilized the SARIMAX, Linear regression model to anticipate new suspected
COVID-19 cases for the countries which did not converge yet. We predict the
curve of non-converged countries with the help of proposed Statistical SARIMAX
model (SSM). We present new information investigation-based forecast results
that can assist governments with planning their future activities and help
clinical administrations to be more ready for what's to come. Our framework can
foresee peak corona cases with an R-Squared value of 0.986 utilizing linear
regression and fall of this pandemic at various levels for countries like
India, US, and Brazil. We found that considering more countries for training
degrades the prediction process as constraints vary from nation to nation.
Thus, we expect that the outcomes referenced in this work will help individuals
to better understand the possibilities of this pandemic.
