Forecasting Covid-19 New Cases in Bhutan

Dr. Smartson. P. NYONIZICHIRe Project, University of Zimbabwe, Harare, ZimbabweMr. Thabani NYONISAGIT Innovation Center, Harare, ZimbabweMr. Tatenda. A. CHIHOHOIndependent Health Economist, Harare, Zimbabwe

Vol 5 No 6 (2021): Volume 5, Issue 6, June 2021 | Pages: 639-644

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 09-07-2021

doi Logo doi.org/10.47001/IRJIET/2021.506112

Abstract
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.
Keywords

ANN, COVID-19, Forecasting, Zimbabwe, corona, pandemic


Citation of this Article

Dr. Smartson. P. NYONI, Mr. Thabani NYONI, Mr. Tatenda. A. CHIHOHO, “Forecasting Covid-19 New Cases in Bhutan” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 639-644, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506112

References
  1. Guan, W. J., et al. (2020). Clinical Characteristics of Coronavirus Diseases 2019 in China, New England Journal of Medicine, 382 (18): 1708 – 1720.
  2. Hu, Z., et al. (2020). Artificial Intelligence Forecasting of COVID-19 in China, medRxiv, pp: 1 – 16.
  3. Rothan, H. A., & Byrareddy, S. N. (2020). The Epidemiology and Pathogenesis of Coronavirus Disease (COVID-19) Outbreak, medRxiv, pp: 1 – 21.
  4. Tao, Z., et al. (2020). A New Coronavirus Associated With Human Respiratory Disease in China, medRxiv, pp: 1 – 14.
  5. 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.
  6. Yang, Y., et al. (2020). The Deadly Coronavirus, Journal of Autoimmun, pp: 1 – 12.