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Moreau, VH (2021). Inconsistencies in Countries COVID-19 Data Revealed by Benford’s Law’. Model Assisted Statistics and Applications 16(1), pp. 73-79.

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Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID-19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032. View Complete Reference Online information Works that this work references No Bibliography works reference this work
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. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Pahuja, D (2021). Application of Benford’s Law to Detect if COVID-19 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:10.52458/978-81-95502-00-4-11. View Complete Reference Online information Works that this work references Works that reference this work
Parreño, SJE (2023). Assessing the quality of dengue data in the Philippines using Newcomb-Benford law. Sapienza: International Journal of Interdisciplinary Studies 4(3). DOI:10.51798/sijis.v4i3.662. View Complete Reference No online information available Works that this work references Works that reference this work