Research on COVID-19 Virus Spreading Statistics based on the Examples of the Cases from Different Countries

被引:21
作者
Gondauri, Davit [1 ]
Mikautadze, Ekaterine [2 ]
Batiashvili, Mikheil [1 ]
机构
[1] Business & Technol Univ, Tbilisi, Georgia
[2] Shota Rustaveli Natl Sci Fdn Georgia, Tbilisi, Georgia
来源
ELECTRONIC JOURNAL OF GENERAL MEDICINE | 2020年 / 17卷 / 04期
关键词
COVID-19; BAILEY's Model; regression slope; pearson correlation method;
D O I
10.29333/ejgm/7869
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The novel coronavirus COVID-19 originally identified in December 2019, based on the data issued by March 30, 2020 daily report, the epidemic of SARS-CoV-2 so far has caused 693224 cases and resulted in 33106 deaths in more than 200 countries. Referring to the data reported, World Health Organization declared the outbreak a pandemic. We considered the chain-binomial type of the model which involves short stages of high infectivity and approximately constant incubation periods. This research paper is to study and analyze the COVID-19 Virus spreading statistics on the examples of the cases from the different countries. High correlation coefficients (91.64%) and determinants (83.98%) between the total volumes of virus spread and recovery are considered to be high and indicate the correctness of the Bailey model. Thus, as of March 30, with the results of statistical and mathematical data processing, it is difficult to predict the future spread-reduction variables of the pandemic.
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页数:4
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