Farhadi, N and Lahooti, H (2021). Are COVID19 Data Reliable? A Quantitative Analysis of Pandemic Data from 182 Countries. COVID 1, pp. 137–152.
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.
Awad, MM (2022). Evaluation of COVID19 Reported Statistical Data Using Cooperative Convolutional Neural Network Model (CCNN). COVID 2(5), pp. 674–690. DOI:10.3390/covid2050051.





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). 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.





Farhadi, N and Lahooti, H (2022). In Data We Trust: Proving Market Manipulation on the Tehran Stock Exchange. International Journal of Business and Management 17(4). DOI:10.5539/ijbm.v17n4p1.




