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

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DOI Prefix: 10.47001/IRJIET

Forecasting Covid-19 New Cases in Somalia

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: 461-466

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/2021.506080

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Abstract

COVID-19 continues to have a devastating effect on the health and well-being of the world population. One of the crucial steps in the fight against COVID-19 is to come up with accurate forecasting models. In this research endeavor, the ANN approach was applied to analyze confirmed COVID-19 cases in Somalia. This study is based on monthly new cases of COVID-19 in Somalia 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 technique indicate that the model is quite stable and acceptable. It is projected that daily COVID-19 cases in Somalia are likely to range between 30 and 200 cases per day over the out-of-sample period. We recommend the continued compliance to control and preventive COVID-19 measures such as social distancing, quarantine, isolation, face-mask wearing and so on; including 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 Somalia” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 5, Issue 6, pp 461-466, June 2021. Article DOI https://doi.org/10.47001/IRJIET/2021.506080

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. Bayyurt, L., & Bayyurt, B. (2020). Forecasting of COVID-19 Cases and Deaths Using ARIMA Models, medRxiv, pp: 1 – 18.
  2. Chan, J. F. W., et al. (2020). A Familial Cluster of Pneumonia Associated With the 2019 Novel Coronavirus Indicating Person-to-Person Transmission, The Lancet, 395: 514 – 523.
  3. Dehesh, T., Mardani-Fard, H. A., & Dehesh, P. (2020). Forecasting of COVID-19 Confirmed Cases in Different Countries With ARIMA Models, medRxiv, pp: 1 – 18.
  4. Direkoglu, C., & Sah, M. (2020). Worldwide and Regional Forecasting of Coronavirus (COVID-19) Spread Using a Deep Learning Model, medRxiv, pp: 1 – 16.
  5. Drosten, C., et al. (2020). Identification of a Novel Coronavirus in Patients With Severe Acute Respiratory Syndrome, New England Journal of Medicine, 348: 1967 – 1976.
  6. Uddin, M. I., Shah, S. A. A., & Al-Khasawneh, M. A. (2020). A Novel Deep Convolutional Neural Network Model to Monitor People Following Guidelines to Avoid COVID-19, Journal of Sensors, pp: 1 – 15.
  7. Wolfel, R., et al. (2020). Virological Assessment of Hospitalized Patients With COVID-19, Nature, pp: 1 – 16.

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