This work is cited by the following items of the Benford Online Bibliography:
Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID-19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |
Filho, DF, Silva, L and Medeiros, H (2022). “Won’t get fooled again”: statistical fault detection in COVID-19 Latin American data. Globalization and Health 18, pp.105. DOI:10.1186/s12992-022-00899-1. | ![]() |
![]() |
![]() |
![]() |
Filho, TMR, Mendes, JFF, Lucio, ML and Moret, MA (2022). Reliability of COVID-19 data and government policies. Preprint arXiv:2208.11226 [physics.soc-ph]; last accessed August 31, 2022. | ![]() |
![]() |
![]() |
![]() |
Filho, TMR, Mendes, JFF, Lucio, ML and Moret, MA (2023). COVID-19 data, mitigation policies and Newcomb–Benford law. Chaos, Solitons and Fractals 174 p. 113814. DOI:10.1016/j.chaos.2023.113814. | ![]() |
![]() |
![]() |
![]() |
Gardian, W (2025). Die digitale Betriebsprüfung in der Gastronomie Benford's Law in Theorie und Praxis [Digital auditing in the hospitality industry: Benford's Law in theory and practice]. Verlag Dr. Kovac; Reihe: QM - Quantitative Methoden in Forschung und Praxis; Reihen-Nr.55. ISSN/ISBN:978-3-339-14350-1. GER | ![]() |
![]() |
![]() |
![]() |
Hulme, PE, Ahmed, DA, Haubrock, PJ, Kaiser, BA, Kourantidou, M, Leroy, B and McDermott, SM (2023). Widespread imprecision in estimates of the economic costs of invasive alien species worldwide. Science of the Total Environment, pp. 167997. DOI:10.1016/j.scitotenv.2023.167997. | ![]() |
![]() |
![]() |
![]() |
Jiang, C, Zhang, X and Hu, B (2024). Government reporting credibility as immunity: Evidence from a public health event. Journal of Multinational Financial Management 73. DOI:10.1016/j.mulfin.2024.100847. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |
Parreño, SJE (2024). Analyzing crop production statistics of the Philippines using the newcomb-benford law. Multidisciplinary Science Journal 6(6), pp. 2024079–9.. DOI:10.31893/multiscience.2024079. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |
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. | ![]() |
![]() |
![]() |
![]() |