Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 657-662
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 09-07-2021
The crisis of COVID-19 is growing and has devastating implications for many countries around the world. In this research article, the ANN technique was applied to analyze daily COVID-19 cases based on new cases of COVID-19 in Barbados for the period 1 January 2020 – 25 March 2021. The out-of-sample forecast covers the period 26 March 2021 – 31 July 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the employed model suggest that the model is stable in forecasting COVID-19 cases in Barbados. The results of the study imply that that daily COVID-19 cases in Barbados are likely to remain relatively low over the out-of-sample period. The government should continue to implement strong control and preventive measures in order to save lives despite the projected relatively low COVID-19 case volumes.
ANN, COVID-19, Forecasting, Zimbabwe, corona, pandemic
Dr. Smartson. P. NYONI, Mr. Thabani NYONI, Mr. Tatenda. A. CHIHOHO, “Forecasting Covid-19 New Cases in Barbados” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 657-662, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506115
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence