Forecasting Covid-19 Deaths in Portugal

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: 836-841

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-07-2021

doi Logo doi.org/10.47001/IRJIET/2021.506146

Abstract
In this research article, the ANN approach was applied to analyze daily COVID-19 related deaths in Portugal. This study is based on daily COVID-19 deaths in Portugal 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 show that the model is stable in forecasting daily COVID-19 related deaths in the country. The results of the study indicate that daily COVID-19 deaths in Portugal are likely to decrease at an increasing rate, characterized by two peaks over the out-of-sample period. In the out-of-sample period, the first peak for COVID-19 related deaths is likely to occur around 20 June 2021 while the second peak may be experienced around 23 August 2021. We recommend that the government of Portugal should ensure adherence to lock-down measures while creating massive awareness about the COVID-19 pandemic as well as scaling up vaccinations. 
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 Deaths in Portugal” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 836-841, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506146

References
  1. Le, T. T. et al. (2020). The COVID-19 Vaccine Development Landscape, Nature - Review of Drug Discovery, 19 (5): 305 – 306.
  2. Li, Q., et al. (2020). Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-infected Pneumonia, New England Journal of Medicine, 89 (15): 1 – 12.
  3. Rawaf, S., Yamamoto, H. O., & Rawaf, D. (2020). Unlocking Towns and Cities: COVID-19 Exit Strategy, East Mediterranean Health Journal, 26 (5): 499 – 502.
  4. Sardar, T., et al. (2020). Assessment of Lockdown Effect in Some States and Overall India: A Predictive Mathematical Study on COVID-19 Outbreak, Chaos, Solitons and Fractals, 139: 1 – 10.
  5. Stonia, A. P., et al. (2020). Deaths by SARS-CoV2 – A Romanian Multi-Centre Comorbidity Study, Research Square.
  6. WHO (2020). https://www.who.int/emergencies/ Retrieved 2020-04-01. 
  7. Worldometers (2020). https://www.worldometers.info/coronavirus/ Retrieved 2020-09-06.
  8. Wu, F., et al. (2020). A New Corona Virus Associated With Human Respiratory Disease in China, Nature, 579 (7798): 265 – 269.