International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Forecasting Covid-19 Deaths in Panama

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: 830-835

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-07-2021

doi Logo doi.org/10.47001/IRJIET/2021.506145

pdf iconFull Text PDF
Abstract
In this study, the ANN approach was applied to analyze COVID-19 new deaths in Panama. The employed data covers the period 1January 2020 to 20 April 2021 and the out-of-sample period ranges over the period 21 April 2021 to 31 August 2021. The residuals and forecast evaluation criteria (Error, MSE and MAE) of the applied model indicate that the model is quite stable. The results of the study indicate that daily COVID-19 deaths in Panama are likely to range between 3 and 50 deaths per day over the out-of-sample period. Therefore there is need for the government of Panama to ensure adherence to safety guidelines while continuing to create awareness about the COVID-19 pandemic and speed up COVID-19 vaccine roll out.
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 Deaths in Panama” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 830-835, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506145

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
References
  1. Our world in data (2021). Austria COVID-19 update. https://ourworld.in data.org.Austria
  2. Read et al (2020). Novel coronavirus 2019-nCoV: Earlyestimationofepidemiologicalparametersandepidemicpredictions. medRxiv:10.1101/2020.01.23.20018549
  3. Tang. B et al (2020).  An updated estimation of the risk of transmission of the novel coronavirus (2019-nCoV). Infectious Disease Modelling 5, 248–255.
  4. Tang. B et al (2020). Estimation of the transmission risk of the 2019-nCoV and its implication for public health interventions. J. Clinical Med. 9, 462.
  5. Wang D et al (2020).  Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan, China. JAMA 323, 1061–1069.
  6. Wang H et al (2020). Phase-adjusted estimation of the number of coronavirus disease 2019 cases in Wuhan, China. Cell Discovery 6, 76.
  7. Wang. W et al (2020). Updated understanding of the outbreak of 2019 novel coronavirus (2019-nCoV) in Wuhan, China. J. Med. Virology 92, 441–447
  8. World Bank (2020). The World Bank Panama COVID-19 Emergency Response (P173881), pp 1-8.
  9. World Health Organization (2020).  Statement on the second meeting of the International Health Regulations. Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV).
  10. Worldometer (2021). Austria COVID-19 update. https://www.worldometers.info

Copyright @ 2026 IRJIET. All Right Reserved.

Licensed underCreative Commons Attribution 4.0 International License.