COVID-19 continues to significantly threaten
human lives and economies around the globe. In this study, the ANN approach was
applied to analyze COVID-19 cases in Bhutan. This study is based on monthly new
cases of COVID-19 in Bhutan 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 reveal that the model is
stable in forecasting COVID-19 cases in Bhutan. It is projected that daily
COVID-19 cases in Bhutan are likely to remain significantly very low over the
out-of-sample period. The government should ensure the continued compliance to
control and preventive COVID-19 measures such as social distancing, quarantine,
isolation, face-mask wearing and so on, as well as vaccinations, in consistency
with WHO guidelines on COVID-19 mitigation strategies.
Country : Zimbabwe
1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO
ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
Guan, W.
J., et al. (2020). Clinical Characteristics of Coronavirus Diseases 2019 in
China, New England Journal of Medicine, 382 (18): 1708 – 1720.
Hu, Z., et
al. (2020). Artificial Intelligence Forecasting of COVID-19 in China, medRxiv,
pp: 1 – 16.
Rothan, H.
A., & Byrareddy, S. N. (2020). The Epidemiology and Pathogenesis of
Coronavirus Disease (COVID-19) Outbreak, medRxiv, pp: 1 – 21.
Tao, Z., et
al. (2020). A New Coronavirus Associated With Human Respiratory Disease in
China, medRxiv, pp: 1 – 14.
Wang, Y.,
et al. (2020). Abnormal Respiratory Patterns Classifier May Contribute to
Large-scale Screening of People Infected With COVID-19 in an Accurate and
Unobtrusive Manner, medRxiv, pp: 1 – 15.
Yang, Y.,
et al. (2020). The Deadly Coronavirus, Journal of Autoimmun, pp: 1 – 12.