In this study, the ANN approach was applied to
analyze COVID-19 deaths in Colombia. The employed data covers the period1
January 2020 to 20 April 2021 and the out-of-sample period ranges over the
period 21 April to 31 August 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 Colombia
are likely to remain significantly high over the out-of-sample period.
Therefore there is need for the government of Colombia to ensure adherence to
safety guidelines while continuing to create awareness about the COVID-19
pandemic and scale up COVID-19 vaccination.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Ghosh
& Martcheva (2020). Modeling the effects of prosocial awareness on COVID-19
dynamics: A case study on Colombia.1-27.
INS
(2020). Instituto Nacional de Salud Colombia. Noticias coronavirus-casos; 2020.
McElreath R. Statistical rethinking: A Bayesian course with examples in R and
Stan. CRC Press.
Smartson.
P. Nyoni, Thabani Nyoni, Tatenda. A. Chihoho (2020) Prediction of new Covid-19
cases in Ghana using artificial neural networks. IJARIIE Vol-6 Issue-6,
2395-4396.
Smartson.
P. Nyoni., Thabani Nyoni & Tatenda A. Chihoho (2020). Forecasting COVID-19
cases in Ethiopia using artificial neural networks, IJARIIE, 6, 6, 2395-4396.
Smartson.
P. Nyoni., Thabani Nyoni., Tatenda. A. Chihoho (2020). Prediction of daily new
Covid-19 cases in Egypt using artificial neural networks. IJARIIE- Vol-6
Issue-6, 2395-4396.
