Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example

Cheng Han Leung; Yu Bo Luo; Tan Cheng Lok; Zi Chen Luo

doi:doi:10.11648/j.si.20210902.14

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Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example

Cheng Han Leung, Yu Bo Luo, Tan Cheng Lok, Zi Chen Luo

Published in Science Innovation (Volume 9, Issue 2)

Received: 8 March 2021 Accepted: Published: 26 April 2021

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Abstract

In the absence of effective drugs to control the COVID-19 epidemic, the main intervention of human factors, namely strict isolation, may be the best prevention and control method at present. The conclusion of data empirical study using Benford's Law is of great significance.Research purpose of this paper analyze COVID - 19 data to predict the authenticity and reliability, and on this basis, the method is to use Benford's Law and the panel model for 51 countries or regions COVID - 19 data statistical analysis, the results of the study found that "other areas" unreliable data, Australia, Pakistan and global data are greatly influenced by artificial factors, Africa, Oceania data with several other states Data according to have significant difference, compared the southern hemisphere and northern hemisphere, the first phase of the data and the second stage also has the obvious difference between the data, The COVID-19 data are also predicted to suggest that the outbreak may have multiple iterations.In conclusion, in most cases, when COVID-19 data deviates from Benford's Law, epidemic prevention and control is better; otherwise, it is worse.

Published in	Science Innovation (Volume 9, Issue 2)
DOI	10.11648/j.si.20210902.14
Page(s)	53-62
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Benford's Law, COVID-19, Data Quality, Prediction

References

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APA Style

Cheng Han Leung, Yu Bo Luo, Tan Cheng Lok, Zi Chen Luo. (2021). Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Science Innovation, 9(2), 53-62. https://doi.org/10.11648/j.si.20210902.14

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ACS Style

Cheng Han Leung; Yu Bo Luo; Tan Cheng Lok; Zi Chen Luo. Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Sci. Innov. 2021, 9(2), 53-62. doi: 10.11648/j.si.20210902.14

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AMA Style

Cheng Han Leung, Yu Bo Luo, Tan Cheng Lok, Zi Chen Luo. Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Sci Innov. 2021;9(2):53-62. doi: 10.11648/j.si.20210902.14

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@article{10.11648/j.si.20210902.14,
  author = {Cheng Han Leung and Yu Bo Luo and Tan Cheng Lok and Zi Chen Luo},
  title = {Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example},
  journal = {Science Innovation},
  volume = {9},
  number = {2},
  pages = {53-62},
  doi = {10.11648/j.si.20210902.14},
  url = {https://doi.org/10.11648/j.si.20210902.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20210902.14},
  abstract = {In the absence of effective drugs to control the COVID-19 epidemic, the main intervention of human factors, namely strict isolation, may be the best prevention and control method at present. The conclusion of data empirical study using Benford's Law is of great significance.Research purpose of this paper analyze COVID - 19 data to predict the authenticity and reliability, and on this basis, the method is to use Benford's Law and the panel model for 51 countries or regions COVID - 19 data statistical analysis, the results of the study found that "other areas" unreliable data, Australia, Pakistan and global data are greatly influenced by artificial factors, Africa, Oceania data with several other states Data according to have significant difference, compared the southern hemisphere and northern hemisphere, the first phase of the data and the second stage also has the obvious difference between the data, The COVID-19 data are also predicted to suggest that the outbreak may have multiple iterations.In conclusion, in most cases, when COVID-19 data deviates from Benford's Law, epidemic prevention and control is better; otherwise, it is worse.},
 year = {2021}
}

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TY  - JOUR
T1  - Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example
AU  - Cheng Han Leung
AU  - Yu Bo Luo
AU  - Tan Cheng Lok
AU  - Zi Chen Luo
Y1  - 2021/04/26
PY  - 2021
N1  - https://doi.org/10.11648/j.si.20210902.14
DO  - 10.11648/j.si.20210902.14
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 53
EP  - 62
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20210902.14
AB  - In the absence of effective drugs to control the COVID-19 epidemic, the main intervention of human factors, namely strict isolation, may be the best prevention and control method at present. The conclusion of data empirical study using Benford's Law is of great significance.Research purpose of this paper analyze COVID - 19 data to predict the authenticity and reliability, and on this basis, the method is to use Benford's Law and the panel model for 51 countries or regions COVID - 19 data statistical analysis, the results of the study found that "other areas" unreliable data, Australia, Pakistan and global data are greatly influenced by artificial factors, Africa, Oceania data with several other states Data according to have significant difference, compared the southern hemisphere and northern hemisphere, the first phase of the data and the second stage also has the obvious difference between the data, The COVID-19 data are also predicted to suggest that the outbreak may have multiple iterations.In conclusion, in most cases, when COVID-19 data deviates from Benford's Law, epidemic prevention and control is better; otherwise, it is worse.
VL  - 9
IS  - 2
ER  -

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Author Information

Cheng Han Leung

School of Business, City University of Macau, Macau, China
Yu Bo Luo

School of Business, City University of Macau, Macau, China
Tan Cheng Lok

School of Business, City University of Macau, Macau, China
Zi Chen Luo

Institute of Data Science, City University of Macau, Macau, China

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Plain Text BibTeX RIS

APA Style

Cheng Han Leung, Yu Bo Luo, Tan Cheng Lok, Zi Chen Luo. (2021). Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Science Innovation, 9(2), 53-62. https://doi.org/10.11648/j.si.20210902.14

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ACS Style

Cheng Han Leung; Yu Bo Luo; Tan Cheng Lok; Zi Chen Luo. Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Sci. Innov. 2021, 9(2), 53-62. doi: 10.11648/j.si.20210902.14

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AMA Style

Cheng Han Leung, Yu Bo Luo, Tan Cheng Lok, Zi Chen Luo. Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Sci Innov. 2021;9(2):53-62. doi: 10.11648/j.si.20210902.14

Copy | Download

@article{10.11648/j.si.20210902.14,
  author = {Cheng Han Leung and Yu Bo Luo and Tan Cheng Lok and Zi Chen Luo},
  title = {Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example},
  journal = {Science Innovation},
  volume = {9},
  number = {2},
  pages = {53-62},
  doi = {10.11648/j.si.20210902.14},
  url = {https://doi.org/10.11648/j.si.20210902.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.si.20210902.14},
  abstract = {In the absence of effective drugs to control the COVID-19 epidemic, the main intervention of human factors, namely strict isolation, may be the best prevention and control method at present. The conclusion of data empirical study using Benford's Law is of great significance.Research purpose of this paper analyze COVID - 19 data to predict the authenticity and reliability, and on this basis, the method is to use Benford's Law and the panel model for 51 countries or regions COVID - 19 data statistical analysis, the results of the study found that "other areas" unreliable data, Australia, Pakistan and global data are greatly influenced by artificial factors, Africa, Oceania data with several other states Data according to have significant difference, compared the southern hemisphere and northern hemisphere, the first phase of the data and the second stage also has the obvious difference between the data, The COVID-19 data are also predicted to suggest that the outbreak may have multiple iterations.In conclusion, in most cases, when COVID-19 data deviates from Benford's Law, epidemic prevention and control is better; otherwise, it is worse.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example
AU  - Cheng Han Leung
AU  - Yu Bo Luo
AU  - Tan Cheng Lok
AU  - Zi Chen Luo
Y1  - 2021/04/26
PY  - 2021
N1  - https://doi.org/10.11648/j.si.20210902.14
DO  - 10.11648/j.si.20210902.14
T2  - Science Innovation
JF  - Science Innovation
JO  - Science Innovation
SP  - 53
EP  - 62
PB  - Science Publishing Group
SN  - 2328-787X
UR  - https://doi.org/10.11648/j.si.20210902.14
AB  - In the absence of effective drugs to control the COVID-19 epidemic, the main intervention of human factors, namely strict isolation, may be the best prevention and control method at present. The conclusion of data empirical study using Benford's Law is of great significance.Research purpose of this paper analyze COVID - 19 data to predict the authenticity and reliability, and on this basis, the method is to use Benford's Law and the panel model for 51 countries or regions COVID - 19 data statistical analysis, the results of the study found that "other areas" unreliable data, Australia, Pakistan and global data are greatly influenced by artificial factors, Africa, Oceania data with several other states Data according to have significant difference, compared the southern hemisphere and northern hemisphere, the first phase of the data and the second stage also has the obvious difference between the data, The COVID-19 data are also predicted to suggest that the outbreak may have multiple iterations.In conclusion, in most cases, when COVID-19 data deviates from Benford's Law, epidemic prevention and control is better; otherwise, it is worse.
VL  - 9
IS  - 2
ER  -

Copy | Download