Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020 through ARIMA Model with Machine Learning Approach

Pavan Kumar; Himangshu Kalita; Shashikanta Patairiya; Yagya Datt Sharma; Chintan Nanda; Meenu Rani; Jamal Rahmai; Akshaya Srikanth Bhagavathula

Since January 2020, the novel coronavirus (severe acute respiratory syndrome 2 [SARS-CoV-2]) from Wuhan, China, has continued to spread around the world and turned into Pandemic as novel coronavirus disease (COVID-19) [1] [2] . Due to rapid pandemic potential and the absence of vaccines and drugs, the contagious COVID-19 disease devastated the normal life across the globe. Currently, Coronavirus infected more than half a million population, and killed more than 25 thousand people, and also forced more than 3 billion to stay with their homes [3] . Due to a lack of knowledge about this virus, the COVID-19 pandemic placed tremendous strain on everyone around the world. In order to prevent further transmission, strong preventive measures are intensified from the past weeks; however, the number of infected cases are consistently increasing around the world, even after undergoing lockdown.