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Miranda, AT (2020)

World’s Distribution of Covid-19 Cases and The Benford’s Law

Cape Comorin II(V), Special Issue, pp. 16-20 .

ISSN/ISBN: Not available at this time. DOI: Not available at this time.



Abstract: A novel corona virus causing severe respiratory disease, now known as COVID-19, has been declared pandemic by the World Health Organization. It spread to almost all countries in the world, recording a number of COVID-19 positive cases, deaths, and recoveries. In this study, we examined the distribution of the reported COVID-19 data if it conforms to the principle of the Benford’s Law. Two months after the pandemic declaration, a test was conducted by comparing the relative frequency (Fr) distribution of the first digit number of the world’s COVID-19 cases with the Benford’s distribution. Kolmogorov-Smirnov test (KS) was then employed to analyse the difference between the two distributions. Results show that there is no significant difference between the first digit distribution of the COVID-19 data and the Benford’s distribution. In conclusion, the reported COVID-19 data sets conform to the principle of the Benford’s Distribution.


Bibtex:
@article{, author = {Aldwin T. Miranda}, title = {World’s Distribution of Covid-19 Cases and The Benford’s Law}, year = {2020}, journal = {Cape Comorin}, volume = {II}, number = {V}, pages = {16--20}, }


Reference Type: Journal Article

Subject Area(s): Medical Sciences