In this study, the ANN approach was applied to
analyze COVID-19 new cases in Croatia. 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 COVID-19 cases are likely to remain
very high over the out-of-sample period. Amongst other suggested policy
directions, there is need for the government of Croatia 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
Naizhuo
Zhao., Katia Charland., Mabel Carabali., Elaine O., Nsoesie., Mathieu
MaheuGiroux., Erin Rees., Mengru Yuan., Cesar Garcia Balaguera., Gloria
Jaramillo Ramirez., & Kate Zinszer (2020). Machine learning and dengue
forecasting: Comparing random forests and artificial neural networks for
predicting dengue burden at national and sub-national scales in Colombia. PLOS
Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0008056
Maradze, T.
C., Nyoni, S. P., Nyoni, T (2021). Modeling and Forecasting COVID-19
mortalities in the United States of America using artificial neural networks
(ANN). International Journal of innovations in Engineering and Technology
(IRJIET), 5 (3):533-539
Smartson.
P. Nyoni., Thabani Nyoni., Tatenda. A. Chihoho (2021). Forecasting daily new
Covid-19 cases in Botswana using artificial neural networks. International
Journal of innovations in Engineering and Technology (IRJIET), 5 (3):177-186
Maradze, T.
C., Nyoni, S. P., & Nyoni, T (2021). Modeling and Forecasting Child
immunization against measles disease in Djibouti using artificial neural
networks (ANNs). International Journal of innovations in Engineering and
Technology (IRJIET), 5 (3):449-452
Nyoni, S.
P., & Nyoni, T (2021). Forecasting ART coverage in Kenya using the
Multilayer perceptron neural network. International Journal of Innovations in
Engineering and Technology (IRJIET), 5 (3): 161-165.
Nyoni, S.
P., & Nyoni, T (2021). Forecasting ART coverage in South Africa using the
Multilayer perceptron neural network. International Journal of Innovations in
Engineering and Technology (IRJIET), 5 (3): 207-211.
Nyoni, S.
P., & Nyoni, T (2021). Predicting TB incidence in Zimbabwe: Artificial
neural networks reveal TB program success, IRJIET, 5(3): 380-384
Nyoni, S.
P., & Nyoni, T (2021). Forecasting infant mortality rate in Gabon using
artificial neural networks, IRJIET, 5 (3): 592-596
Anita
LauriKorajlija and NatasaJokic-Begic (2020). COVID-19: Concerns and behaviours
in Croatia,British Journal of Health Psychology, pp 1-8.