Ali, A and Haque, S (2022). Application of Benford’s law to COVID19 cases in selected countries of the Caribbean and globally. Caribbean Medical Journal. ISSN/ISBN:26645599.





Campanelli, L (2022). Breaking Benford’s law: A statistical analysis of Covid19 data using the Euclidean distance statistic. Preprint submitted to Statistics in Transition.





Farhadi, N (2021). Can we rely on COVID19 data? An assessment of data from over 200 countries worldwide. Science Progress 104(2). DOI:10.1177/00368504211021232.





Farhadi, N and Lahooti, H (2021). Are COVID19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152. DOI:10.3390/covid1010013.





Farhadi, N and Lahooti, H (2021). Pandemic Growth and Benfordness: Empirical Evidence from 176 Countries Worldwide. COVID 1(1), pp. 366383. DOI:10.3390/covid1010031.





Koesters, N, McMenemy, A and Bélanger, Y (2020). Simulating Epidemics with a SIRD Model and Testing with Benford’s Law. Preprint.





Liao, Z, Menon, D, Zhang, L, Lim, YJ, Li, W, Li, X and Zhao, Y (2022). Management of the COVID19 Pandemic in Singapore from 2020 to 2021: A Revisit. Reports 5(3), 35. DOI:10.3390/reports5030035.





Moreau, VH (2021). Inconsistencies in Countries COVID19 Data Revealed by Benford’s Law’. Model Assisted Statistics and Applications 16(1), pp. 7379. DOI:10.3233/MAS210517.





Us, D (2021). Benford's Law: An Empirical Analysis of Reported Covid19 Cases and Institutional Structures Around the Globe
. Undergraduate Thesis, Università commerciale Luigi Bocconi, Milan. DOI:10.13140/RG.2.2.28839.88488.





Vellwock, AE and Wei, A (2020). On the Benfordness of academic citations. Preprint posted on research gate.net; last accessed March 16, 2021. DOI:10.13140/RG.2.2.22108.82562.




