Ali, A and Haque, S (2022). Application of Benford’s law to COVID19 cases in selected countries of the Caribbean and globally. Caribbean Medical Journal. ISSN/ISBN:26645599.





Anab, F, Khaliq, A and Younas, I (2021). A Statistical Analysis of Covid19 Data of Pakistan by Applying Benford’s Law. Journal of Applied Pharmacy 13, pp. 5560.





Burgos, A and Santos, A (2021). The Newcomb–Benford law: Scale invariance and a simple Markov process based on it (Previous title: The Newcomb–Benford law: Do physicists use more frequently the key 1 than the key 9?). Preprint arXiv:2101.12068 [physics.popph]; last accessed August 8, 2022; Published Am. J. Phys. 89, pp. 851861.





Carmo, CRS, Caneppele, FdL and Nunes, FC (2021). Analysis of Covid19 Contamination and Deaths Cases in Brazil According to The NewcombBenford Law. Revista Brasileira de Biometria 39(4), pp.522535. DOI:10.28951/rbb.v39i4.535.





Chatterjee, S, Sarkar, A, Karmakar, M, Chatterjee, S and Paul, R (2020). EIRD model to study the asymptomatic growth during COVID19 pandemic in India. Indian Journal of Physics. DOI:10.1007/s12648020019288.





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.





Dissanayake, CK and Daniel, J (2021). Do Pandemic Related Datasets with High Artificial Control Still Follow the Benford’s Law?. Proceedings of the 4th European International Conference on Industrial Engineering and Operations Management, Rome, Italy, August 25.





Eckhartt, GM and Ruxton, GD (2023). Investigating and preventing scienti c misconduct using Benford’s Law. Research Integrity and Peer Review 8(1). DOI:10.1186/s4107302200126w.





Erfani, A, Zhang, K and Cui, Q (2021). TAB Bid Irregularity: DataDriven Model and Its Application. Journal of Management in Engineering 37(5), p. 04021055. DOI:10.1061/(ASCE)ME.19435479.0000958.





Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455.





Farhadi, N (2021). Can we rely on COVID19 data? An assessment of data from over 200 countries worldwide. Science Progress 104(2). DOI:10.1177/00368504211021232.





Farhadi, N and Lahooti, H (2021). Are COVID19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152. DOI:10.3390/covid1010013.





Farhadi, N and Lahooti, H (2021). Pandemic Growth and Benfordness: Empirical Evidence from 176 Countries Worldwide. COVID 1(1), pp. 366383. DOI:10.3390/covid1010031.





Farhadi, N and Lahooti, H (2022). Forensic Analysis of COVID19 Data from 198 Countries Two Years after the Pandemic Outbreak. COVID 2(4), pp. 472484. DOI:10.3390/covid2040034.





Hanci, F (2022). Application of Benford’s law in agricultural production statistics. Journal of the National Science Foundation of Sri Lanka 50 (2), pp. 387393. DOI:10.4038/jnsfsr.v50i2.10429.





Herteliu, C, Jianu, I, Dragan, IM, Apostu, S and Luchian, I (2021). Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania. Physica A: Statistical Mechanics and its Applications 582, p. 126221. DOI:10.1016/j.physa.2021.126221.





Ileanu, BV (2021). Time Lag Evidence of AntiAbortion Decree and Perturbation of Births Distribution. A Benford Law Approach. Preprint arXiv:2106.15520 [physics.socph]; last accessed July 30, 2021.





Jošić, H and Žmuk, B (2021). Assessing the Quality of COVID19 Data: Evidence from NewcombBenford Law. Facta Universitatis, in press. DOI:10.22190/FUEO210326008J.





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





Koesters, N, McMenemy, A and Bélanger, Y (2020). Simulating Epidemics with a SIRD Model and Testing with Benford’s Law. Preprint.





Kolias, P (2022). Applying Benford’s law to COVID19 data: the case of the European Union. Journal of Public Health, fdac005, pp. 16. DOI:10.1093/pubmed/fdac005.





Malvar, S and Meneghini, JR (2022). Machine learning approaches for localized lockdown during COVID19: a case study analysis. Preprint arXiv:2201.00715 [cs.LG]; last accessed January 9, 2022.





MorillasJurado, FG, CaballerTarazona, M and CaballerTarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046.





Pahuja, D (2021). Application of Benford’s Law to Detect if COVID19 Data is under Reported or Manipulated. In: Rahul Srivastava & Aditya Kumar Singh Pundir (eds.), New Frontiers in Communication and Intelligent Systems, pp. 85–91. Computing & Intelligent Systems, SCRS, India
. DOI:10.52458/978819550200411.





Us, D (2021). Benford's Law: An Empirical Analysis of Reported Covid19 Cases and Institutional Structures Around the Globe
. Undergraduate Thesis, Università commerciale Luigi Bocconi, Milan. DOI:10.13140/RG.2.2.28839.88488.





Wei, A and Vellwock, AE (2020). Is COVID19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1.





Wong, WK, Juwono, FH, Loh, WN and Ngu, IY (2020). NewcombBenford Law Analysis on COVID19
Daily Infection Cases and Deaths in Indonesia
and Malaysia. Research Square preprint. DOI:10.21203/rs.3.rs131072/v1.




