DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-17589

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
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Volume Issue
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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