ORIGINAL ARTICLE
Research on COVID-19 Virus Spreading Statistics based on the Examples of the Cases from Different Countries
 
More details
Hide details
1
Business and Technology University, GEORGIA
 
2
The Shota Rustaveli National Science Foundation of Georgia, GEORGIA
 
 
Online publication date: 2020-03-31
 
 
Publication date: 2020-03-31
 
 
Electron J Gen Med 2020;17(4):em209
 
KEYWORDS
ABSTRACT
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 counties. 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.
REFERENCES (15)
1.
Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020. https://doi.org/10.1056/nejmoa... PMid: 31978945.
 
2.
Wu JT, Leung K, Leung GM. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020:1-3. https://doi.org/10.1016/S0140-....
 
3.
Hopkins Johns. University Center for Systems and Science Engineering. Coronavirus COVID-19 Global Cases. Available at: https://coronavirus.jhu.edu/ma... (Accessed March 25, 2020).
 
4.
He F, Deng Y, Li W. Coronavirus Disease 2019 (COVID-19): What we know? J Med Virol. 2020;2019:0-2. https://doi.org/10.1002/jmv.25... PMid:32170865.
 
5.
Wu Z, McGoogan JM. Characteristics of and Important Lessons from the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention. Jama. 2020;2019:3-6. https://doi.org/10.1001/jama.2....
 
6.
Lu R, Zhao X, Li J, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. Lancet. 2020; 395(10224):565-74. https://doi.org/10.1016/S0140-....
 
7.
Zhou P, Yang XL, Wang XG, et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature. 2020. https://doi.org/10.1038/s41586... PMid:32015507 PMCid:PMC7095418.
 
8.
Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med. 2020; 382(8):727-33. https://doi.org/10.1056/NEJMoa... PMid:31978945.
 
9.
Organization WH. Coronavirus disease 2019 (COVID-19) Situation Report - 70. 30 March 2020.
 
10.
Wood PHN. The Mathematical Theory of Infectious Diseases and its applications. Immunology. 1978;34(5):955-6.
 
11.
Bailey NTJ. The total size of a general stochastic epidemic. Biometrika, 1953a;40:177. https://doi.org/10.1093/biomet....
 
12.
Becker NG, Britton T. Statistical studies of infectious disease incidence. J. R. Statist. Soc. B 1999;61(2):287-307. https://doi.org/10.1111/1467-9....
 
13.
Lan L, Xu D, Ye G, et al. Positive RT-PCR Test Results in Patients Recovered From COVID-19. JAMA. Published online February 27, 2020. https://doi.org/10.1001/jama.2... PMid:32105304.
 
14.
Kermack WO, McKendrick AG. A Contribution to the Mathematical Theory of Epidemics. Proceedings of the Royal Society of London. Series A, Containing Papers of a Mathematical and Physical Character 1927;115(772):700-21. https://doi.org/10.1098/rspa.1....
 
15.
Bailey NTJ. Maximum-likelihood estimation of the relative removal rate from the distribution of the total size of an intrahousehold epidemic. J Hyg (Lond). 1954;52(3):400-2. https://doi.org/10.1017/s00221... PMid:13212043 PMCid:PMC2217790.
 
eISSN:2516-3507
Journals System - logo
Scroll to top