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Leung, CH, Luo, YB, Lok, TC and Luo, ZC (2021). Analysis and Prediction of COVID-19 Data Quality Based on Benford's Law-- Take Data from 51 Countries and Regions as an Example. Science Innovation 9(2), pp. 53-62. CHI

This work cites the following items of the Benford Online Bibliography:


Collins, JC (2017). Using Excel and Benford’s Law to detect fraud. Journal of Accountancy Feature/Technology Workshop, April 1. View Complete Reference Online information Works that this work references Works that reference this work
Crocetti, E and Randi, G (2016). Using the Benford's Law as a first step to assess the quality of the cancer registry data. Frontiers in Public Health 4:225. DOI:10.3389/fpubh.2016.00225. View Complete Reference Online information Works that this work references Works that reference this work
Daniels, J, Caetano, SJ, Huyer, D, Stephen, A, Fernandes, J, Lytwyn, A and Hoppe, FM (2017). Benford's Law for Quality Assurance of Manner of Death Counts in Small and Large Databases. Journal of Forensic Sciences 62(5), pp. 1326-1331. DOI:10.1111/1556-4029.13437. View Complete Reference Online information Works that this work references Works that reference this work
Goodman, WM (2016). The promises and pitfalls of Benford's law. Significance 13(3) pp. 38-41. DOI:10.1111/j.1740-9713.2016.00919.x. View Complete Reference Online information Works that this work references Works that reference this work
Idrovo, AJ, Bojórquez-Chapela, I, Fernández-Niño, JA and Moreno-Montoya, J (2011). Performance of public health surveillance systems during the influenza A(H1N1) pandemic in the Americas: testing a new method based on Benford's Law. Epidemiol. Infect. 139(12), pp. 1827-34. ISSN/ISBN:1469-4409. DOI:10.1017/S095026881100015X. View Complete Reference Online information Works that this work references Works that reference this work
Kuruppu, N (2019). The Application of Benford’s Law in Fraud Detection: A Systematic Methodology. International Business Research, Canadian Center of Science and Education 12(10), pp. 1-10. DOI:10.5539/ibr.v12n10p1. View Complete Reference Online information Works that this work references Works that reference this work
Lu, F and Boritz, JE (2005). Detecting Fraud in Health Insurance Data: Learning to Model Incomplete Benford’s Law Distributions. Machine Learning: ECML 2005 (Proceedings). Lecture Notes in Artificial Intelligence 3270, pp. 633-640. ISSN/ISBN:0302-9743. View Complete Reference Online information Works that this work references Works that reference this work
Manrique-Hernández, EF, Fernández-Niño, JA and Idrovo, AJ (2017). Global performance of epidemiologic surveillance of Zika virus: rapid assessment of an ongoing epidemic. Public Health 143, pp. 14-16. DOI:10.1016/j.puhe.2016.10.023 . View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (2019). The patterns of the numbers used in occupational fraud schemes. Managerial Auditing Journal 34(5), pp. 606--626. DOI:10.1108/MAJ-11-2017-1717. View Complete Reference Online information Works that this work references Works that reference this work
Pomykacz, M, Olmsted, C and Tantinan, K (2017). Benford’s Law in Appraisal. The Appraisal Journal, Fall, pp. 274-284. View Complete Reference Online information Works that this work references Works that reference this work
Sambridge, M, Tkalčić, H and Jackson, A (2010). Benford's law in the Natural Sciences. Geophysical Research Letters 37: L22301. DOI:10.1029/2010GL044830. View Complete Reference Online information Works that this work references Works that reference this work
Singleton, TW (2011). Understanding and applying Benford’s Law. ISACA Journal, v.3 pp.1-4. View Complete Reference Online information Works that this work references Works that reference this work
Zhang, J (2020). Testing Case Number of Coronavirus Disease 2019 in China with Newcomb-Benford Law. Preprint arXiv:2002.05695 [physics.soc-ph]; last accessed February 18, 2020. View Complete Reference Online information Works that this work references Works that reference this work