Forecasting Covid-19 New Cases in Saint Lucia

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: 506-510

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/2021.506088

Abstract
Circulating globally, the ongoing COVID-19 pandemic continues to cause devastating mortality and is indeed a great threat to global public health. In this research paper, the ANN model was applied to analyze daily COVID-19 cases in Saint Lucia. This study is based on daily new cases of COVID-19 in Saint Lucia 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 model reveal that the model is quite stable. The results of the study reveal that daily COVID-19 cases in Saint Lucia are likely to surge significantly until they reach an equilibrium case volume of approximately 408 cases per day over the out-of-sample period. The relevant authorities should ensure the continued compliance to control and preventive COVID-19 measures such as social distancing, quarantine, isolation, face-mask wearing and so on, alongside 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 New Cases in Saint Lucia” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 506-510, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506088

References
  1. Bai, Y., et al. (2020). Presumed Asymptomatic Carrier Transmission of COVID-19, JAMA, 323 (14): 1406 – 1407.
  2. Taboe, H. B., et al. (2020). Predicting COVID-19 Spread in the Face of Control Measures in West Africa, Mathematical Biosciences, 328: 1 – 9.
  3. Wang, D., et al. (2020). Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-infected Pneumonia in Wuhan, China, JAMA, 323: 1061 – 1069.
  4. WHO (2020). Novel Coronavirus (2019-nCoV) Situation Report No. 11, WHO, Geneva.