Kilani, A and Georgiou, GP (2021). Countries with potential data misreport based on Benford’s law. Journal of Public Health.
This work is cited by the following items of the Benford Online Bibliography:
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Carmo, CRS, Nunes, FC and Caneppele, FdL (2023). The limits of conformity analysis under the Newcomb-Benford law and the COVID-19 pandemic in Brazil
. Brazilian Journal of Biometrics 41, pp. 234-248 . DOI:10.28951/bjb.v41i3.626.
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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.
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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.
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Kilani, A (2021). An interpretation of reported COVID-19 cases in post-Soviet states. Journal of Public Health, fdab091. DOI:10.1093/pubmed/fdab091.
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Kilani, A (2021). Authoritarian regimes' propensity to manipulate Covid-19 data: a statistical analysis using Benford's Law. Commonwealth & Comparative Politics 59(3), pp. 318-333. DOI:10.1080/14662043.2021.1916207.
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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.
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Patel, PC, Tsionas, MG and Guedes, MJ (2022). Benford's law, small business financial reporting, and survival. Managerial and Decision Economics 43(8), pp. 3301–3315. DOI:10.1002/mde.3595.
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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) vol. 13 (1), pp. 7-13.
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