In this study, the ANN approach was applied to
analyze COVID-19 new cases in Djibouti. 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
hover around 234 cases per day over the out-of-sample period. Amongst other
suggested policy directions, there is need for the government of Djibouti 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
French
Embassy in Djibouti (2020). News. La Pre´sidence de la Re´publique de Djibouti
suspend les vols commerciaux à compter du 18 mars 2020 face au contexte
sanitaire international, https://dj.ambafrance.
org/La-Presidence-de-la-Republique-de-Djibouti-suspend-les-vols-commerciaux-a
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
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.
Ministry of
Health of Djibouti (2020). National Action Plan for preparedness and response
to COVID-19 pandemic in Djibouti,
https://sante.gouv.dj/storage/publications/April2020/cMcQEVZc9fS4wLjvUSqA.pdf.
Nyoni, S.
P., & Nyoni, T (2021). Forecasting ART coverage in Egypt using artificial
neural networks. International Journal of Innovations in Engineering and
Technology (IRJIET), 5 (3): 161-165.
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 Malawi using the
Multilayer perceptron neural network. International Journal of Innovations in
Engineering and Technology (IRJIET), 5 (3): 222-226.
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.
Relief web.
Republic of Djibouti (2020): COVID-19 Situation Report #1, 23 March 2020,
https://reliefweb.int/
report/djibouti/republic-djibouti-covid-19-situation-report-1-23-march-2020;
2020
Smartson P.
Nyoni., Thabani Nyoni & Tatenda. A. Chihoho (2020). Prediction of daily new
COVID-19 cases in Italy using artificial neural netwotks.
IJARIIE-ISSN(O)-2395-4396 Vol-6 Issue-6 2020,
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
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
The
National Institute of Statistics of Djibouti (INSD) (2019). Statistical
Yearbooks. Statistical Yearbook 2019, http://www.insd.dj/annstat.html.
World Bank
(2018). Data. Surface area (sq. km)—Djibouti,
https://data.worldbank.org/indicator/AG.SRF. TOTL.K2?locations=DJ; 2018.