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

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Ali, A and Haque, S (2022). Application of Benford’s law to COVID-19 cases in selected countries of the Caribbean and globally. Caribbean Medical Journal. ISSN/ISBN:2664-5599. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Anab, F, Khaliq, A and Younas, I (2021). A Statistical Analysis of Covid-19 Data of Pakistan by Applying Benford’s Law. Journal of Applied Pharmacy 13, pp. 55-60. View Complete Reference No online information available Works that this work references Works that reference this work
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2022). On the Euclidean distance statistic of Benford’s law. Communications in Statistics - Theory and Methods, pp. 1-24. DOI:10.1080/03610926.2022.2082480}. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2022). Testing Benford's Law: from small to very large data sets. Spanish Journal of Statistics 4(1), pp. 41-54. DOI:10.37830/SJS.2022.1.03. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2022). Breaking Benford’s law: A statistical analysis of Covid-19 data using the Euclidean distance statistic. Preprint submitted to Statistics in Transition. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2022). Monkeypox Obeys the (Benford's) Law: A Dynamic Analysis of Daily Case Counts in the United States of America. Preprint submitted to Statistics in Tran- sition new series.. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2022). Tuning up the Kolmogorov-Smirnov test for testing Benford’s law. Preprint on ResearchGate. View Complete Reference Online information Works that this work references Works that reference this work
Campanelli, L (2023). A test of significance for Benford’s law based on the Chebyshev distance. Preprint on Researchgate. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Chatterjee, S, Sarkar, A, Karmakar, M, Chatterjee, S and Paul, R (2020). EIRD model to study the asymptomatic growth during COVID-19 pandemic in India. Indian Journal of Physics. DOI:10.1007/s12648-020-01928-8. View Complete Reference Online information Works that this work references No Bibliography works reference this work
D'Alessandro, A (2020). Benford's law and metabolomics: A tale of numbers and blood. Transfusion and Apheresis Science 59(6), pp. 103019. DOI:10.1016/j.transci.2020.103019. View Complete Reference Online information Works that this work references Works that reference this work
Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N (2021). Can we rely on COVID-19 data? An assessment of data from over 200 countries worldwide. Science Progress 104(2). DOI:10.1177/00368504211021232. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2021). Are COVID-19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152. DOI:10.3390/covid1010013. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2021). Pandemic Growth and Benfordness: Empirical Evidence from 176 Countries Worldwide. COVID 1(1), pp. 366-383. DOI:10.3390/covid1010031. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2022). Forensic Analysis of COVID-19 Data from 198 Countries Two Years after the Pandemic Outbreak. COVID 2(4), pp. 472-484. DOI:10.3390/covid2040034. View Complete Reference Online information Works that this work references Works that reference this work
Farhadi, N and Lahooti, H (2022). In Data We Trust: Proving Market Manipulation on the Tehran Stock Exchange. International Journal of Business and Management 17(4). DOI:10.5539/ijbm.v17n4p1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Golbeck, J (2023). Benford’s Law applies to word frequency rank in English, German, French, Spanish, and Italian. PLoS ONE 18(9), pp. e0291337. DOI:10.1371/journal.pone.0291337. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Ileanu, B-V (2021). Time Lag Evidence of Anti-Abortion Decree and Perturbation of Births Distribution. A Benford Law Approach. Preprint arXiv:2106.15520 [physics.soc-ph]; last accessed July 30, 2021. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kazemitabar, J (2021). Double-Crossing Benford's Law. Preprint arXiv:2105.09812 [stat.AP]; last accessed May 31, 2021. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Koesters, N, McMenemy, A and Bélanger, Y (2020). Simulating Epidemics with a SIRD Model and Testing with Benford’s Law. Preprint. View Complete Reference Online information Works that this work references Works that reference this work
Novosel, D, Žunac, R and Alanović, M (2021). COVID-19 and Seasonal Flu Data Reliability Analysis of New Cases Reported in Croatia. Acta Scientific Medical Sciences 5(6), pp. 102-105. ISSN/ISBN:2582-0931. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pröger, L, Griesberger, P, Hackländer, K, Brunner, N and Kühleitner, M (2021). Benford’s Law for Telemetry Data of Wildlife. Stats 4(4), pp. 943–949. DOI:10.3390/ stats4040055. View Complete Reference Online information Works that this work references Works that reference this work
Rubin, AE (2021). Benford’s law: Applications to ordinary-chondrite mass distributions. Meteoritics & Planetary Science, pp. 1-14. DOI:10.1111/maps.13626. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Silva, LEdO and Figueiredo, D (2024). A novel approach to evaluate data integrity: evidence from COVID-19 in China. Brazilian Journal of Biometrics 42(1), pp. 78-87. DOI:10.28951/bjb.v42i1.659. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Szabo, JK, Forti, LR and Callaghan, CT (2023). Large biodiversity datasets conform to Benford's law: Implications for assessing sampling heterogeneity. Biological Conservation 280, pp. 109982. DOI:10.1016/j.biocon.2023.109982. View Complete Reference Online information Works that this work references Works that reference this work
Us, D (2021). Benford's Law: An Empirical Analysis of Reported Covid-19 Cases and Institutional Structures Around the Globe . Undergraduate Thesis, Università commerciale Luigi Bocconi, Milan. DOI:10.13140/RG.2.2.28839.88488. View Complete Reference Online information Works that this work references Works that reference this work
Wang, D, Chen, F, Mao, J, Liu, N and Rong, F (2022). Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries . Energy Economics, p. 106310. DOI:10.1016/j.eneco.2022.106310. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wang, H, Liu, T, Zhang, Y, Wu, Y, Sun, Y, Dong, J and Huang, W (2023). Last Digit Tendency: Lucky Numbers and Psychological Rounding in Mobile Transactions. Fundamental Research. DOI:10.1016/j.fmre.2023.11.011. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wei, A and Vellwock, AE (2020). Is COVID-19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1. View Complete Reference Online information Works that this work references Works that reference this work