Kilani, A (2021). An interpretation of reported COVID19 cases in postSoviet states. Journal of Public Health, fdab091.
This work cites the following items of the Benford Online Bibliography:
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.





Deckert, J, Myagkov, M and Ordeshook, PC (2011). Benford's Law and the Detection of Election Fraud. Political Analysis 19(3), pp. 245268. DOI:10.1093/pan/mpr014.





Golbeck, J (2019). Benfordâ€™s Law can detect malicious social bots. First Monday 24(8). DOI:10.5210/fm.v24i8.10163.





Kilani, A (2021). Authoritarian regimes' propensity to manipulate Covid19 data: a statistical analysis using Benford's Law. Commonwealth & Comparative Politics 59(3), pp. 318333. DOI:10.1080/14662043.2021.1916207.





Kilani, A and Georgiou, GP (2021). Countries with potential data misreport based on Benfordâ€™s law. Journal of Public Health. DOI:10.1093/pubmed/fdab001.





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) .





Nigrini, MJ (2012). Benford's Law: Applications for Forensic Accounting, Auditing, and Fraud Detection . John Wiley & Sons: Hoboken, New Jersey. ISSN/ISBN:9781118152850. DOI:10.1002/9781119203094.




