Forecasting Daily Covid-19 Cases in Libya Using Artificial Neural Networks
Abstract
In this piece of
work, the ANN approach was applied to analyze daily new COVID-19 cases in
Libya. 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. The results of the study indicate that daily COVID-19 cases will generally range
between 0-1700 cases over the out of sample period. Therefore we
implore the government to continuously enforce WHO guidelines on prevention and
control of COVID-19 to minimize loss of lives.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Thabani NYONI3 Tatenda. A. CHIHOHO
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