STATISTICAL ANALYSIS OF COVID-19 PANDEMIC IN SAUDI ARABIA

被引:0
|
作者
Alotaibi, Naif [1 ]
Al-Dayel, Ibrahim [1 ]
Elbatal, I. [1 ]
Ezzeldin, Mohamed Rashed [2 ]
Elgarhy, M. [3 ]
Al-Karawi, Khamis A. [4 ]
机构
[1] Imam Mohammad Ibn Saud Univ IMSTU, Coll Sci, Dept Math & Stat, Riyadh 114352, Saudi Arabia
[2] Qassim Univ, Department Stat, Deanship Educ Serv, Buraydah, Saudi Arabia
[3] Higher Inst Commercial Sci Al Mahalla Al Kubra, Algarbia 31951, Egypt
[4] Salford Univ, Salford, England
关键词
pandemic; SARIMA; COVID-19; time series analysis; ADF; ARIMA model;
D O I
10.17654/0972361722020
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
COVID-19, a new coronavirus illness, initially reported in China in December 2019 has spread around the world. COVID-19 coronavirus has evolved into a worldwide health hazard, quickly infecting humans. Controlling the outbreak is crucial, and scientists have continued to look at potential treatments. COVID-19 can also be defeated with supportive treatment and hospital critical care services. COVID-19 might be avoided using statistical forecasting techniques. The purpose of this study is to create a forecasting model that could be used to predict the spread of COVID-19 in Saudi Arabia. An autoregressive (AR) integrated moving average (ARIMA) model was used to anticipate the number of deaths in three key Saudi Arabian regions: Riyadh, Eastern Region, and Qassim. According to our findings, the number of fatalities in Riyadh and Eastern Region was expected to decrease in August (2021), while the deaths in Qassim were expected to decrease in July (2021).
引用
收藏
页码:107 / 118
页数:12
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