Forecasting Covid-19 New Cases in Sao Tome

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: 551-555

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/2021.506096

Abstract
The Artificial Neural Network (ANN) approach was applied in this piece of work, to analyze COVID-19 daily cases in Sao Tome. This study is based on monthly new cases of COVID-19 in Sao Tome 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 statistics (Error, MSE and MAE) of the applied model indicate that the model is adequate. The predictions show that daily COVID-19 cases in Sao Tome are generally likely to hover around an equilibrium case volume of about 24 cases per day over the out-of-sample period. However, the government of Sao Tome should ensure the continued compliance to control and preventive COVID-19 measures such as social distancing, quarantine, isolation, face-mask wearing as well as vaccinations.
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 Sao Tome” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 551-555, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506096

References
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