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Wei, A and Vellwock, AE (2020)

Is COVID-19 data reliable? A statistical analysis with Benford's Law

Preprint, posted September.

ISSN/ISBN: Not available at this time. DOI: 10.13140/RG.2.2.31321.75365/1



Abstract: Benfordís Law is applied as a method to analyze and find data manipulation in large datasets. It is consistently recognized as a valid method to combat financial fraud and tax evasion. Here, we studied its application to datasets of COVID-19, targeting data manipulation in the following: total confirmed cases, daily confirmed cases, total confirmed deaths, daily confirmed deaths. We considered countries among the most total confirmed cases on the day 1 September 2020 and China. General results showed that COVID-19ís numbers do follow Benfordís Law. Moreover, no evidence of data manipulation is seen for data from the USA, Brazil, India, Peru, South Africa, Colombia, Mexico, Spain, Argentina, Chile, the United Kingdom, France, Saudi Arabia, China, Philippines, Belgium, Pakistan, and Italy. Results suggest a high possibility of data manipulations for Russiaís data. A small divergence is present in Iranís numbers.


Bibtex:
@misc{, AUTHOR = {Anran Wei and Andre E. Vellwock}, TITLE = {Is COVID-19 data reliable? A statistical analysis with Benford's Law}, YEAR = {2020}, URL = {https://www.researchgate.net/publication/344164702_Is_COVID-19_data_reliable_A_statistical_analysis_with_Benford's_Law}, }


Reference Type: Preprint

Subject Area(s): Medical Sciences, Statistics, Voting Fraud