Forecasting COVID-19 Cases in Egypt Using ARIMA-Based Time-Series Analysis
Ibrahim Sabry1, Mohamed ElWakil2, Amir Hussain Idrisi3, Abdel-Hamid Ismail Mourad41Department of Manufacturing Engineering, Modern Academy for Engineering and Technology, Cairo, Egypt Department of Manufacturing Engineering, Modern Academy for Engineering and Technology, Cairo, Egypt, 2Department of Production Engineering and Mechanical Design, Faculty of Engineering, Tanta University, Tanta, Egypt, 3Department of Mechanical Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates, 4On leave from Mechanical Design of Department, Faculty of Engineering, Helwan University, Cairo, Egypt,
Objectives: The World Health Organization declared the novel coronavirus (COVID-19) outbreak a public health emergency of international concern on January 30, 2020. Since it was first identified, COVID-19 has infected more than one hundred million people worldwide, with more than two million fatalities. This study focuses on the interpretation of the distribution of COVID-19 in Egypt to develop an effective forecasting model that can be used as a decision-making mechanism to administer health interventions and mitigate the transmission of COVID-19. Methods: A model was developed using the data collected by the Egyptian Ministry of Health and used it to predict possible COVID-19 cases in Egypt. Results: Statistics obtained based on time-series and kinetic model analyses suggest that the total number of COVID-19 cases in mainland Egypt could reach 11076 per week (March 1, 2020 through January 24, 2021) and the number of simple regenerations could reach 12. Analysis of the ARIMA (2, 1, 2) and (2, 1, 3) sequences shows a rise in the number of COVID-19 events. Conclusion: The developed forecasting model can help the government and medical personnel plan for the imminent conditions and ensure that healthcare systems are prepared to deal with them. Keywords: ARIMA, coronavirus, COVID-19, forecast, Egypt, pandemic
Cite This Article
Sabry I, ElWakil M, Idrisi A, Mourad A. Forecasting COVID-19 Cases in Egypt Using ARIMA-Based Time-Series Analysis. EJMO. 2021; 5(2): 123-131
Corresponding Author: Abdel-Hamid Ismail Mourad