Using time series models to predict the numbers of people afflicted with (COVID-19) in Iraq, Saudi Arabia and United Arab Emirates
Joint Authors
al-Sharut, Muhammad Habib
Ulwan, Habib Kazim
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 12, Issue 4 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
-Covid-19 disease is an infectious disease caused by the newly discovered Coronavirus.
There was no knowledge of this virus before an outbreak broke out in the Chinese city of Yuhan in December 2019.
The Corona epidemic has caused the world to go through a major challenge as it has claimed the lives of many people and also disrupted the economy in most countries of the world.
This has prompted many researchers in various disciplines to conduct studies and research to stand in the face of this epidemic.
It is known that statistical methods have great importance for all sciences The other that stood against this epidemic.In this paper, we use time series ARIMA models by Box- Jenkins to predict the numbers of people afflicted with (COVID-19) in Iraq, Saudi Arabia and United Arab Emirates and compare them based on a daily time series represent the numbers of people afflicted in those countries for the period from 3/15/2020 to 4/5/2020 the emergence of that epidemic in those countries.
American Psychological Association (APA)
al-Sharut, Muhammad Habib& Ulwan, Habib Kazim. 2020. Using time series models to predict the numbers of people afflicted with (COVID-19) in Iraq, Saudi Arabia and United Arab Emirates. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 12, no. 4, pp.1-17.
https://search.emarefa.net/detail/BIM-1263935
Modern Language Association (MLA)
al-Sharut, Muhammad Habib& Ulwan, Habib Kazim. Using time series models to predict the numbers of people afflicted with (COVID-19) in Iraq, Saudi Arabia and United Arab Emirates. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 12, no. 4 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1263935
American Medical Association (AMA)
al-Sharut, Muhammad Habib& Ulwan, Habib Kazim. Using time series models to predict the numbers of people afflicted with (COVID-19) in Iraq, Saudi Arabia and United Arab Emirates. al-Qadisiyah Journal for Computer Science and Mathematics. 2020. Vol. 12, no. 4, pp.1-17.
https://search.emarefa.net/detail/BIM-1263935
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 17
Record ID
BIM-1263935