Prediction of Confirmed Daily Covid-19 Cases in Mozambique Using Artificial Neural Networks
Abstract
In this research paper, the ANN approach was applied to analyze daily
COVID-19 cases in Mozambique. 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 ANN (12, 12, 1) model indicate that the
model is stable in forecasting daily COVID-19 cases in Mozambique. The results
of the study revealed that daily COVID-19 cases are likely to follow an upward
trajectory over the out of sample period. Therefore the government is
encouraged to practicing WHO guidelines and protocols for the prevention and
control of COVID-19.
Country : Zimbabwe
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