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 the State of Israel

Abstract

In this study, the ANN approach was applied to analyze COVID-19 deaths in Israel. The employed data covers the period 1 January 2020 to 20 April 2021 and the out-of-sample period ranges over the period21 April 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 mortality cases in Israel are likely to be rare over the out-of-sample period. Therefore there is need for the state of Israel to ensure adherence to safety guidelines while continuing to create awareness about the COVID-19 pandemic and COVID-19 vaccination.

Country : Zimbabwe

1 Dr. Smartson. P. NYONI2 Mr. Thabani NYONI3 Mr. Tatenda. A. CHIHOHO

  1. ZICHIRe Project, University of Zimbabwe, Harare, Zimbabwe
  2. SAGIT Innovation Center, Harare, Zimbabwe
  3. Independent Health Economist, Harare, Zimbabwe

IRJIET, Volume 5, Issue 6, June 2021 pp. 431-436

doi.org/10.47001/IRJIET/2021.506075

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References

  1. Last M (2020). The first wave of COVID19 in Israel—Initial analysis of publicly available data. PLoS ONE 15(10): e0240393. https://doi.org/ 10.1371/journal.pone.0240393
  2. Maradze, T. C., Nyoni, S. P., & Nyoni, T (2021). Modeling and Forecasting COVID-19 mortalities in the United States of America using artificial neural networks (ANN). International Journal of innovations in Engineering and Technology (IRJIET), 5 (3):533-539
  3. Miller, D. et al (2020). Full genome viral sequences inform patterns of SARS-CoV-2 spread into and within Israel. Nat. Commun. 11, 5518 (2020).
  4. Naizhuo Zhao., Katia Charland., Mabel Carabali., Elaine O., Nsoesie., Mathieu MaheuGiroux., Erin Rees., Mengru Yuan., Cesar Garcia Balaguera., Gloria Jaramillo Ramirez., & Kate Zinszer (2020). Machine learning and dengue forecasting: Comparing random forests and artificial neural networks for predicting dengue burden at national and sub-national scales in Colombia. PLOS Neglected Tropical Diseases | https://doi.org/10.1371/journal.pntd.0008056
  5. Nyoni, S. P., & Nyoni, T (2021). Forecasting ART coverage in Kenya using the Multilayer perceptron neural network. International Journal of Innovations in Engineering and Technology (IRJIET), 5 (3): 161-165.
  6. Nyoni, S. P., & Nyoni, T (2021). Forecasting ART coverage in Malawi using the Multilayer perceptron neural network. International Journal of Innovations in Engineering and Technology (IRJIET), 5 (3): 222-226
  7. Smartson P. Nyoni., Thabani Nyoni & Tatenda. A. Chihoho (2020). Prediction of daily new COVID-19 cases in Italy using artificial neural networks. IJARIIE-ISSN(O)-2395-4396 Vol-6 Issue-6 2020,
  8. Smartson. P. Nyoni, Thabani Nyoni, Tatenda. A. Chihoho (2020) Prediction of new Covid-19 cases in Ghana using artificial neural networks. IJARIIE Vol-6 Issue-6             2395-4396
  9. Smartson. P. Nyoni., Thabani Nyoni & Tatenda A. Chihoho (2020). Forecasting COVID-19 cases in Ethiopia using artificial neural networks, IJARIIE, 6, 6, 2395-4396
  10. The Times of Israel. Israel has highest rate in world of new coronavirus infections per capita – TV (2020), https://www.timesofisrael.com/israel-has-highest rate-in-world-of-new-coronavirus-infections-per-capita-tv.

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