Forecasting Covid-19 New Cases in Vietnam

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, ZimbabweMr. Tatenda. A. CHIHOHOIndependent Health Economist, Harare, Zimbabwe

Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 611-616

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-07-2021

doi Logo doi.org/10.47001/IRJIET/2021.506107

Abstract
COVID-19 is a highly contagious disease which has apparently frozen the entire globe along with its economy. Its astonishing ability of human-to-human and surface-to-human transmission has turned the planet Earth into recurrent catastrophic waves. In this research article, the ANN approach was applied to analyze COVID-19 cases in Vietnam. This study is based on daily new cases of COVID-19 in Vietnam Faso 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 our simple model indicate that the model is stable and acceptable. The study established that daily COVID-19 cases in Vietnam are likely to remain very low over the out-of-sample period. The government of Vietnam should, however, ensure the continued compliance to control and preventive COVID-19 measures such as social distancing, quarantine, isolation, face-mask wearing and so on, including vaccinations. This is expected to play a pivotal role, particularly in avoiding extremely dangerous daily COVID-19 case volumes in the country, even in the face of new variants. 
Keywords

ANN, COVID-19, Forecasting, Zimbabwe, corona, pandemic


Citation of this Article

Dr. Smartson. P. NYONI, Mr. Thabani NYONI, Mr. Tatenda. A. CHIHOHO, “Forecasting Covid-19 New Cases in Vietnam” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 611-616, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506107

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