Forecasting Covid-19 New Cases in Albania

Abstract

As COVID-19 rages throughout the globe, reliable modeling and forecasting of the dynamics thereof is critical. In this research work, the ANN technique was applied to forecast daily COVID-19 cases in Albania. This study is based on daily new cases of COVID-19 in Albania 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 employed model suggest that the model is stable. It is projected that daily COVID-19 cases in Albania are likely to remain very high over the out-of-sample period. We strongly recommend that the government of Albania should continue to ensure vaccine uptake and strict adherence to lock-down measures while creating awareness about the COVID-19 pandemic. 

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. 743-748

doi.org/10.47001/IRJIET/2021.506130

References

  1. Arslan, S., et al. (2020). Nowcasting and Forecasting the Spread of COVID-19 and Healthcare Demand in Turkey, A Modeling Study, medRxiv, pp: 1 – 26.
  2. Aslan, I. H., et al. (2020). Modeling COVID-19: Forecasting and Analyzing the Dynamics of the Outbreak in Hubei and Turkey, medRxiv, pp: 1 – 16.
  3. Guan, W. J., et al. (2020). Clinical Characteristics of Coronavirus Disease 2019 in China, The New England Journal of Medicine, 382 (18): 1708 – 1720.
  4. Helli, S. S., et al. (2020). Short-term Forecasting of COVID-19 Cases in Turkey Using Long Short-term Memory Network, Department of Biomedical Engineering, Yeditepe University, Instabul.
  5. Huang, C., et al. (2020). Clinical Features of Patients Infected With 2019 Novel Coronavirus in Wuhan, China, The Lancet, 395: 497 – 506.
  6. Nicola, M., et al. (2020). The Socio-Economic Implications of the Coronavirus and COVID-19 Pandemic: A Review, International Journal of Surgery, 78: 185 – 193.
  7. Ozdinc, M., et al. (2020). Predicting the Progress of COVID-19: The Case for Turkey, Turkiye Klinikleri Journal of Medical Sciences, pp: 1 – 4.
  8. Oztoprak, F., Javed, A. (2020). Case Fatality Rate Estimation of COVID-19 for European Countries: Turkey’s Current Scenario Amidst a Global Pandemic; Comparison of Outbreaks With European Countries, Eurasian Journal of Medicine and Oncology, 4 (2): 149 – 159.
  9. Sohrabi, C., et al. (2020). WHO Declares Global Emergency: A Review of the 2019 Novel Coronavirus (COVID-19), International Journal of Surgery, 6: 71 – 76.
  10. Tian, S., et al. (2020). Characteristics of COVID-19 Infection in Beijing, Journal of Infection, 80 (4): 401 – 406.
  11. Unvan, Y. A., & Demirel, O. (2020). In Day 150 of COVID-19 Disease, Forecasting the Number of Cases and Deaths in Turkey, Medical Science and Discovery, 7 (6): 535 – 545.
  12. Wang, C., et al. (2020). Immediate Psychological Responses and Associated Factors During the Initial Stage of the 2019 Corona Virus Disease (COVID-19) Epidemic Among the General Population in China, International Journal of Environmental Research and Public Health, 17: 1729 – 1731.
  13. Yildirim, M., & Guler, A. (2020). COVID-19 Severity, Self-efficacy, Knowledge, Preventive Behaviors and Mental Health in Turkey, Death Studies, pp: 1 – 9.
  14. Zhu, N., et al. (2020). A Novel Corona Virus From Patients With Pneumonia in China, 2019, New England Journal of Medicine, 382 (8): 727 – 733.