Modeling the COVID-19 Pandemic Dynamics in Egypt and Saudi Arabia

被引:8
|
作者
Mansour, Mahmoud M. [1 ,2 ]
A. Farsi, Mohammed [3 ]
Mohamed, Salah M. [4 ]
Abd Elrazik, Enayat M. [1 ,2 ]
机构
[1] Taibah Univ, Dept Management Informat Syst, Yanbu 46421, Saudi Arabia
[2] Benha Univ, Dept Stat Math & Insurance, Banha 13513, Egypt
[3] Taibah Univ, Coll Comp Sci & Engn, Yanbu 46421, Saudi Arabia
[4] Cairo Univ, Fac Grad Studies Stat Res, Dept Appl Stat, Giza 12613, Egypt
关键词
coronavirus COVID-19 pandemic; Egypt; Saudi Arabia; mathematical modeling; statistical methods; Nadarajah-Haghighi distribution; maximum likelihood; moment;
D O I
10.3390/math9080827
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
During the abrupt outbreak of the COVID-19 pandemic, the public health system of most of the world's nations has been tested. However, it is the concern of governments and other responsible entities to provide the correct statistics and figures to take any practicable necessary steps such as allocation of the requisite quarantine operations, calculation of the needed number of places in hospitals, determination of the extent of personal security, and determining the degree of isolation of infectious people, among others. Where the statistical literature supposes that a model governs every real phenomenon, once we know the model, we can evaluate the dilemma. Therefore, in this article, we compare the COVID-19 pandemic dynamics of two neighboring Arabic countries, Egypt and Saudi Arabia, to provide a framework to arrange appropriate quarantine activities. A new generalized family of distributions is developed to provide the best description of COVID-19 daily cases and data on daily deaths in Egypt and Saudi Arabia. Some of the mathematical properties of the proposed family are studied.
引用
收藏
页数:13
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