DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-4 ( Oct, 2020 ) | |||||||||
Paper Title |
Forecasting of COVID-19 Confirmed Cases with Statistical Methods | |||||||||
Author Name |
Saanidhya Vats, Puspanjali Mohapatra | |||||||||
Affilition |
Computer Science & Engineering, IIIT Bhubaneswar, India | |||||||||
Pages |
50-53 | |||||||||
Abstract |
The greatest global threat to the world, presently, is covid-19 disease. Many places in the world have been declared as epicenters. In this study, we aim to forecast the number of infected patients with the help of following three methods: 1) Exponential smoothing 2) Double exponential smoothing 3) ARIMA Among the above methods, the forecasting by ARIMA is most accurate. The result by ARIMA indicates exponential growth of number of cases in coming days. These predictions can be used by government organisations to allocate the essential resources and plan accordingly. | |||||||||
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