Forecasting Covid-19 New Cases in St Vincent and The Grenadines

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: 511-515

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/2021.506089

Abstract

St Vincent and the Grenadines (SVG), just like other countries, has not been able to escape from the deadly pandemic. Here, the ANN approach was applied to analyze COVID-19 case volumes for all age groups in SVG. This study is based on monthly new cases of COVID-19 in St Vincent and the Grenadines 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 this model indicate that the model is quite stable. The results of the study indicate that daily COVID-19 cases will hover around an equilibrium level of about 4 cases per day. It is important for the government to note that the projected pattern in COVID-19 cases is a product of the current prevention and control measures being consistently taken. We therefore encourage the government to continue making sure that these measures are taken seriously, especially by the general public. More, importantly, there is need for vaccine uptake in the country in order to adequately save life.

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 St Vincent & The Grenadines” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 511-515, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506089

References
  1. Badillo-Rivera, E., et al. (2020). Environmental and Social Analysis as Risk Factors for the Spread of the Novel Coronavirus (SARS-CoV-2) Using Remote Sensing, GIS and Analytical Hierarchy Process (AHP): Case of Peru, medRxiv, pp: 1 – 33.