In this study, the ANN approach was applied to
analyze COVID-19 new cases in Honduras. The employed data covers the period 1
January 2020 – 25 March 2021 and the out-of-sample period ranges over the
period 26 March – 31 July 2021. The residuals and forecast evaluation criteria
(Error, MSE and MAE) of the applied model indicate that the model is quite
stable. The results of the study indicate that daily COVID-19 cases in Honduras
are likely to decline to around 21 cases per day over the out-of-sample period.
Amongst other suggested policy directions, there is need for the government of
Honduras to ensure adherence to safety guidelines while continuing to create
awareness about the COVID-19 pandemic.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
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Naizhuo
Zhao., Katia Charland., Mabel Carabali., Elaine O., Nsoesie., Mathieu
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Nyoni, S.
P., & Nyoni, T (2021). Forecasting ART coverage in Kenya using the
Multilayer perceptron neural network. International Journal of Innovations in
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Nyoni, S.
P., & Nyoni, T (2021). Forecasting ART coverage in Malawi using the
Multilayer perceptron neural network. International Journal of Innovations in
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P. Nyoni., Thabani Nyoni., Tatenda. A. Chihoho (2021). Forecasting daily new
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