| You are in:Home/Publications/Forecasting COVID-19 Cases in Egypt, Using ARIMA-Based Time-Series Analysis | |
Dr. Ibrahim Sabry Ibrahim Mahmoud :: Publications: |
|
| Title: | Forecasting COVID-19 Cases in Egypt, Using ARIMA-Based Time-Series Analysis |
| Authors: | Ibrahim Sabry Amir Hussain Idrisi, Abdel-Hamid Ismail Mourad and M.Elwakil |
| Year: | 2021 |
| Keywords: | ARIMA; coronavirus; COVID-19; forecast, Egypt; pandemic |
| Journal: | Eurasian Journal of Medicine and Oncology |
| Volume: | 5 |
| Issue: | 2 |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | |
| Full paper | Ibrahim Sabry Ibrahim Mahmoud_Forecasting COVID19 Cases in Egypt Using ARIMABased TimeSeries Analysis-64251.pdf |
| Supplementary materials | Not Available |
| Abstract: |
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. |
