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 Daily New Covid-19 Cases in the Kingdom Of Eswatini Using Artificial Neural Networks

Abstract

In this research article, the ANN approach was applied to analyze daily new COVID-19 cases in the Kingdom of Eswatini. 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 Eswatini. The results of the study indicate that daily COVID cases will generally be between 0-260 cases over the out of sample period. Therefore the health authorities in Eswatini should continue enforcing the implementation of 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. 120-129

doi.org/10.47001/IRJIET/2021.503022

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