In this research paper, the ANN model was
applied to forecast COVID-19 confirmed cases in Seychelles. This study is based
on monthly new cases of COVID-19 in Seychelles for the period 1 January 2020 –
25 March 2021. The out-of-sample forecast covers the period 26 March 2021 – 31
July 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE)
of the applied model indicate that the model is stable and adequate in
forecasting daily confirmed cases of COVID-19 in the country. The results of
the study indicate that that daily COVID-19 cases in Seychelles are likely to
remain high, although characterized by recurrent downward trends over the
out-of-sample period. We encourage relevant authorities to continue to
implement preventive and control measures such as wearing of masks, banning of
unnecessary travel, social distancing, and proper washing of hands and
vaccinations.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Johns Hopkins University (2020). Coronavirus, Coronavirus Research Center, Johns Hopkins University.
Varela-Santos, S., & Melin, P. (2020). A New Approach for
Classifying Coronavirus COVID-19 Based on its Manifestation on Chest X-rays
Using Texture Features and Neural Networks, Information
Sciences, 545 (2021): 403 – 414.
Zeroual, A., et al. (2020).
Deep Learning Methods for Forecasting COVID-19 Time Series Data: A Comparative
Study, Chaos, Solitons and Fractals,
140 (2020): 1 – 12.
Zhang, C., et al. (2020a).
Measuring Imported Case Risk of COVID-19 From Inbound International Flights – A
Case Study on China, University of
International Business and Economics, China.
Zhang, C., et al. (2020b).
Exploring the Roles of High-speed Train, Air and Couch Services in the Spread
of COVID-19 in China, Transport Politics,
94: 34 – 42.
