Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy by Moayyad Shawaqfah (17280637)

“…Official statistical data gathered from each country until July 6th was used to validate and test the prediction model. The model sensitivity was analyzed using the root mean square error (RMSE), the mean absolute percentage error and the regression coefficient index R2, which yielded highly accurate values of the predicted correlation for the infected and dead cases of 0.99 for the dates considered. …”