Forecasting Covid-19 Mortality in Russia

Abstract

In this study, the ANN approach was applied to analyze COVID-19 mortality in Russia. This study is based on daily COVID-19 deaths in Russia for the period 1 January 2020 – 20 April 2021. The out-of-sample forecast covers the period 21 April – 31 August 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is indeed stable. The results of the study indicate that daily COVID-19 mortality cases in Russia are likely to remain very high over the out-of-sample period. Therefore there is need for the Russian government to ensure adherence to safety guidelines while continuing to create awareness about the COVID-19 pandemic and scaling up COVID-19 vaccination.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Center, Harare, Zimbabwe
  3. Independent Health Economist, Harare, Zimbabwe

IRJIET, Volume 5, Issue 6, June 2021 pp. 812-817

doi.org/10.47001/IRJIET/2021.506142

References

  1. C.-C. Lai., W. C. Ko., H. J. Tang., P. R. Hsueh., and T. P. Shih (2020), “Severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges,” International Journal of Antimicrobial Agents, vol. 55, no. 3, article 105924, 2020.
  2. H. A. Rothan and S. N. Byrareddy (2020). “The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak,” Journal of Autoimmunity, vol. 109, article 102433.
  3. H. Lu, C. W. Stratton, and Y. W. Tang, “Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle,” Journal of Medical Virology, vol. 92, no. 4, pp. 401-402, 2020.
  4. Marina, L., & Natalia, N. (2020). COVID-19 Mortality Rate in Russia: Forecasts and Reality Evaluation, Institute of Economics, Russia.
  5. 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
  6. S. Ryu., B. C. Chun., and Korean Society of Epidemiology 2019- nCoV Task Force Team (2020). “An interim review of the epidemiological characteristics of 2019 novel coronavirus,” Epidemiology and health, vol. 42, 2020.
  7. Smartson. P. Nyoni., Thabani Nyoni & Tatenda A. Chihoho (2020). Forecasting COVID-19 cases in Ethiopia using artificial neural networks, IJARIIE, 6, 6, 2395-4396
  8. 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
  9. Zhang G P (2003). “Time series forecasting using a hybrid ARIMA and neural network model”, Neurocomputing 50: 159–175.