International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Forecasting Confirmed Covid-19 Daily Cases in Equatorial Guinea Using Artificial Neural Networks

Abstract

In this research paper, the ANN approach was applied to analyze daily COVID-19 cases in Equatorial Guinea. The employed data covers the period 1 January 2020 to 31 December 2020 and the out-of-sample period ranges over the period 1 January 2021 to 31 May 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is stable in forecasting daily COVID-19 cases in Equatorial Guinea. The applied ANN (12, 12, 1) predictions suggest that daily COVID-19 cases will generally be between 0-10 cases over the out of sample period. Therefore the government is encouraged to continue enforcing WHO guidelines on prevention and control of COVID-19.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Thabani NYONI3 Tatenda. A. CHIHOHO

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Centre, Harare, Zimbabwe
  3. Independent Researcher, Harare, Zimbabwe

IRJIET, Volume 5, Issue 3, March 2021 pp. 187-196

doi.org/10.47001/IRJIET/2021.503032

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