Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551572.





Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 15245586/Vol. V, pp. 1734.





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.





Grammatikos, T and Papanikolaou, NI (2021). Applying Benford’s law to detect accounting data manipulation in the banking industry. Journal of Financial Services Research 59, pp. 115142. DOI:10.1007/s10693020003349.





Idrovo, AJ and ManriqueHernández, EF (2020). Data Quality of Chinese Surveillance of COVID19: Objective Analysis Based on WHO’s Situation Reports. Asia Pacific Journal of Public Health. DOI:10.1177/1010539520927265.





Isea, R (2020). How Valid are the Reported Cases of People Infected with Covid19 in the World?. International Journal of Coronaviruses 1(2), pp. 5356. DOI:10.14302/issn.26921537.ijcv203376.





Koch, C and Okamura, K (2020). Benford's Law and COVID19 Reporting. Posted on SSRN April 28, 2020; last accessed November 17, 2020. Published in Econ Lett 2020;196(109973) .





Lee, KB, Han, S and Jeong, Y (2020). COVID19, flattening the curve, and Benford’s law. Physica A: Statistical Mechanics and its Applications 559, 125090. DOI:10.1016/j.physa.2020.125090.





Newcomb, S (1881). Note on the frequency of use of the different digits in natural numbers. American Journal of Mathematics 4(1), pp. 3940. ISSN/ISBN:00029327. DOI:10.2307/2369148.





Roukema, BF (2014). A firstdigit anomaly in the 2009 Iranian presidential election. Journal of Applied Statistics 41(1), pp. 164199. DOI:10.1080/02664763.2013.838664.





Sambridge, M and Jackson, A (2020). National COVID numbers — Benford’s law looks for errors. Nature 581(7809), p. 384. DOI:10.1038/d41586020015655.





Wei, A and Vellwock, AE (2020). Is COVID19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1.




