Forecasting Covid-19 New Cases in Timorletse

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: 663-668

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/2021.506116

Abstract
COVID-19 is indeed a serious global public health emergency. In this research paper, the ANN approach was applied to analyze COVID-19 cases in Timorletse. This study is based on daily new cases of COVID-19 in Timorletse 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 indicate that the model is stable in forecasting COVID-19 cases in Timorletse. The results of the study indicate that daily COVID-19 cases in Timorletse are likely to remain very high at an equilibrium case volume of approximately 57 cases per day over the out-of-sample period. The government of Timorletse, through the ministry of health, should continue to implement COVID-19 control and prevention measures such as isolation, quarantine, testing and tracing, face-mask wearing, sanitization of hands, including vaccinations, amongst other measures in line with WHO guidelines. 
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 Timorletse” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 663-668, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506116

References
  1. Carsana, L., et al. (2020). Pulmonary Post-mortem Findings in a Series of COVID-19 Cases From Northern Italy: A Two-Centre Descriptive Study, Lancet Infectious Diseases, 20: 1135 – 1140.
  2. Chen, Y., Liu, Q., & Guo, D. (2020). Emerging Coronaviruses: Genome Structure, Replication, and Pathogenesis, Journal of Medical Virology, 92 (4): 418 – 423.  
  3. Huang, C., et al. (2020). Clinical Features of Patients Infected With 2019 Novel Coronavirus in Wuhan, China, The Lancet, 395 (10223): 497 – 506.
  4. Jin, Y., et al. (2020). Virology, Epidemiology, Pathogenesis and Control of COVID-19, Viruses, 12 (4): 372 – 381.