Moreau, VH (2021). Inconsistencies in Countries COVID-19 Data Revealed by Benford’s Law’. Model Assisted Statistics and Applications 16(1), pp. 73-79.
This work is cited by the following items of the Benford Online Bibliography:
Note that this list may be incomplete, and is currently being updated. Please check again at a later date.
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.
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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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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.
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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.
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