| publication name | 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 | https://ejmo.org/10.14744/ejmo.2021.64251/ |
| Full paper | download |
| 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.