Forecasting Covid-19 New Cases in Singapore

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: 497-499

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/2021.506086

Abstract
The worldwide spread of COVID-19 has triggered a range of public health responses, including the need for modeling and forecasting the transmission dynamics of the pandemic. The ANN approach was applied to analyze COVID-19 cases in Singapore. This study is based on daily new cases of COVID-19 in Singapore 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 suggest that the model is stable in forecasting daily COVID-19 cases in Singapore. It is projected that daily COVID-19 cases in Singapore are likely to decline to nil over the out-of-sample period. To ensure total public health safety, the government of Singapore should continue to ensure vaccine uptake as well as strict adherence to WHO sanitary rules and 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 Singapore” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 497-499, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506086

References
  1. WHO (2020). Situation Report, WHO, Geneva.