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Campolieti, M (2022). COVID-19 deaths in the USA: Benford’s law and under-reporting. Journal of Public Health 44(2), pp. e268-e271.

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Ahmad, S, Latif, DA, Mahmood, DM, Aslam, R, Abiddin, ZU, Mumtaz, H, Ahmed, K, Mehdi, W and begum, W (2022). Terminal digit preference and the accuracy of breast cancer diameter reporting based on Benford's law. Annals of Medicine and Surgery. DOI:10.1016/ j.amsu.2022.103993. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Atakan, S and Orman, G (2023). On the usage of Benford’s Law on coronavirus data statistics. Proceedings of 2023 IEEE International Conference on Big Data (BigData), pp. 4848-4853. DOI:10.1109/BigData59044.2023.10386606. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915. View Complete Reference Online information Works that this work references Works that reference this work
Cano‐Rodríguez, M, Licerán-Gutiérrez, A and Nunez-Nickel, M (2023). Does Divergence from Benford’s Distribution Signal Earnings Management?. Preprint available at SSRN; last accessed January 16, 2025. DOI:10.2139/ssrn.4475622. View Complete Reference Online information Works that this work references Works that reference this work
Carmo, CRS, Nunes, FC and Caneppele, FdL (2023). The limits of conformity analysis under the Newcomb-Benford law and the COVID-19 pandemic in Brazil . Brazilian Journal of Biometrics 41, pp. 234-248 . DOI:10.28951/bjb.v41i3.626. View Complete Reference Online information Works that this work references Works that reference this work
Dutta-Powell, R (2024). The perils of premature evaluation: reassessing the application of Benford’s Law to the USA’s COVID-19 data. Preprint on ResearchSquare.com. DOI:10.21203/rs.3.rs-5392071/v1. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Kolias, P (2022). Applying Benford’s law to COVID-19 data: the case of the European Union. Journal of Public Health 44(2), pp. e221-e226. DOI:10.1093/pubmed/fdac005. View Complete Reference Online information Works that this work references Works that reference this work
Natashekara, K (2021). COVID-19 cases in India and Kerala: a Benford’s law analysis. Journal of Public Health, fdab199. DOI:10.1093/pubmed/fdab199. View Complete Reference Online information Works that this work references Works that reference this work
Nickell, EB, Schwebke, J and Goldwater, P (2023). An introductory audit data analytics case study: Using Microsoft Power BI and Benford’s Law to detect accounting irregularities. Journal of Accounting Education 64, p. 100855 . DOI:10.1016/j.jaccedu.2023.100855. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Parreño, SJE (2024). Epidemiological anomaly detection in Philippine public health surveillance data through Newcomb-Benford analysis. Journal of Public Health 46(3), pp. e483–e493 . DOI:10.1093/pubmed/fdae062. 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
Sinaga, ES and Sudharma, NI (2024). Benford’s law analysis to evaluate the quality data of COVID-19 epidemiological surveillance in Indonesia. International Journal of Public Health Science (IJPHS) 13(1), pp. 7-13. DOI:10.11591/ijphs.v13i1.23437. View Complete Reference Online information Works that this work references Works that reference this work