Forecasting COVID-19 Cases in Egypt, Using ARIMA-Based Time-Series Analysis
Eurasian Journal of Medicine and Oncology • 2021
Publication Information
Authors
Ibrahim Sabry Amir Hussain Idrisi, Abdel-Hamid Ismail Mourad and M.Elwakil
Keywords
ARIMA; coronavirus; COVID-19; forecast, Egypt; pandemic
Journal
Eurasian Journal of Medicine and Oncology
Publisher
Not Available
Volume
5
Issue
2
Pages
Not Available
publication.type
International
Paper Link
Open Link
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.
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.
Staff Members - Benha University