COVID-19 Pandemic: ARIMA and Regression Model-Based Worldwide Death Cases Predictions

• Published in: SN computer science Vol. 1; no. 5; p. 288
• Main Authors: Chaurasia, Vikas, Pal, Saurabh
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.09.2020; Springer Nature B.V
• Subjects: Advances in Computational Approaches for Artificial Intelligence; Autoregressive moving-average models; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Coronaviruses; Correlation coefficients; COVID-19; Data Structures and Information Theory; Datasets; Death; Disease; Image Processing, IoT and Cloud Applications; Infections; Information Systems and Communication Service; Medical research; Mortality; Original Research; Pandemics; Pattern Recognition and Graphics; Pneumonia; Regression models; Root-mean-square errors; Software Engineering/Programming and Operating Systems; Statistical analysis; Time series; Viral diseases; Vision; Italy; France; China; India; COVID-19; Epidemic; Breath; Regression model; Humanity; RMSE; ARIMA model

COVID-19 has now taken a frightening form. As the days pass, it is becoming more and more widespread and now it has become an epidemic. The death rate, which was earlier in the hundreds, changed to thousands and then progressed to millions. If the same situation persists over time, the day is not fa...