Isea, R (2020). How Valid are the Reported Cases of People Infected with Covid19 in the World?. International Journal of Coronaviruses 1(2), pp. 5356.
This work is cited by the following items of the Benford Online Bibliography:
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Agyemang, EF, Mensah, JA and Nyarko, E (2023). How dependable is World Continental COVID19 data? Disclosure of Inconsistencies in Daily Reportage Confirmed Cases, Recovered and Deaths During First Wave. Preprint – submitted to Heliyon. DOI:10.2139/ssrn.4516032.





Carmo, CRS, Nunes, FC and Caneppele, FdL (2023). The limits of conformity analysis under the NewcombBenford law and the COVID19 pandemic in Brazil
. Brazilian Journal of Biometrics 41, pp. 234248 . DOI:10.28951/bjb.v41i3.626.





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.





Palacios, NT (2020). Benford's Law. History, mathematical justification and applications. Degree in Statistics Final Degree Project, Universidad de Valladolid. Facultad de Ciencias.




