Fig. 1.

Proposed system flow diagram. The data on the spread of COVID-19 in the top 10 densely populated countries, viz., India, Bangladesh, the Democratic Republic of Congo, Pakistan, China, Philippines, Germany, Indonesia, Ethiopia, and Nigeria were analyzed. The data for all the countries was fed into 9 different machine learning algorithms to predict the count of new cases for the next 5 days. These predicted values were compared with the actual values that were found and the accuracy was calculated. The best outbreak prediction model was selected for each country depending on the accuracy values obtained