This work is cited by the following items of the Benford Online Bibliography:

Adam, A and Tsarsitalidou, S (2022). Data misreporting during the COVID19 crisis: The role of political institutions. Economics Letters 213, p. 110348. DOI:10.1016/j.econlet.2022.110348. | ||||

Anab, F, Khaliq, A and Younas, I (2021). A Statistical Analysis of Covid-19 Data of Pakistan by Applying Benford’s Law. Journal of Applied Pharmacy 13, pp. 55-60. | ||||

Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021. | ||||

Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. | ||||

Campolieti, M (2021). COVID-19 deaths in the USA: Benford’s law and under-reporting. Journal of Public Health, fdab161, pp. 1-4. DOI:10.1093/pubmed/fdab161. | ||||

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 2-5. | ||||

Farhadi, N (2021). Can we rely on COVID-19 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 COVID-19 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. 366-383. DOI:10.3390/covid1010031. | ||||

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. | ||||

Galvêas, D, Barros, F and Fuzo, CA (2021). A forensic analysis of SARS-CoV-2 cases and COVID-19 mortality misreporting in the Brazilian population. Public Health. DOI:10.1016/j.puhe.2021.05.010. | ||||

Giannakis, N and Burlac, L (2021). Benford’s Law: Analysis of the trustworthiness of COVID-19 reporting in the context of different political regimes. Bachelor’s Degree Project in Mathematics, Division of Mathematics and Physics Mälardalen University, Sweden. | ||||

Jošić, H and Žmuk, B (2021). Assessing the Quality of COVID-19 Data: Evidence from Newcomb-Benford Law. Facta Universitatis, in press. DOI:10.22190/FUEO210326008J. | ||||

Kilani, A (2021). An interpretation of reported COVID-19 cases in post-Soviet states. Journal of Public Health, fdab091. DOI:10.1093/pubmed/fdab091. | ||||

Kilani, A (2021). Authoritarian regimes' propensity to manipulate Covid-19 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. | ||||

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Morillas-Jurado, FG, Caballer-Tarazona, M and Caballer-Tarazona, V (2022). Applying Benford’s Law to Monitor Death Registration Data: A Management Tool for the COVID-19 Pandemic. Mathematics 10(1), 46. DOI:10.3390/math10010046. | ||||

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. | ||||

Pater, C and Mazrekaj, D (2020). Power Laws, Prices and National Accounts: Are There Any Irregularities?. Prepring SocArXiv, December 16; last accessed January 3, 2021. DOI:10.31235/osf.io/gwha2. | ||||

Ramos, PCR (2021). Lei de Benford: uma Integração no Trabalho de Auditoria [Benford Law - An Integration in the Audit Work]. Masters thesis, Universidade de Brasília, Brasília. POR | ||||

Souza, GC, Moreno, R and Pimenta, T (2021). Benford’s Law and Artificial Intelligence Applied to COVID-19. Proceedings of 2021 International Conference on Microelectronics (ICM), pp. 78-81. DOI:10.1109/ICM52667.2021.9664958.. | ||||

Wei, A and Vellwock, AE (2020). Is COVID-19 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). Newcomb-Benford Law Analysis on COVID-19 Daily Infection Cases and Deaths in Indonesia and Malaysia. Research Square preprint. DOI:10.21203/rs.3.rs-131072/v1. |