View Complete Reference

Kilani, A (2021)

An interpretation of reported COVID-19 cases in post-Soviet states

Journal of Public Health, fdab091.

ISSN/ISBN: Not available at this time. DOI: 10.1093/pubmed/fdab091

Abstract: Coronavirus disease 2019 (COVID-19) became the main concern in numerous fields in the globe.1 Benford’s law (BL) is mathematical theorem used as a detection technique to reveal accounting fraud,2 election fraud,3 in manipulated health data4 and even social media bots.5 Several studies have already applied BL to detect misreported data of COVID-19.6 Recently, the governmental statistics agency in Russia (ROSSTAT) announced that the reported death cases in the country are much higher than the official figures. Previous studies confirmed that Russia has indeed manipulated figures based on BL.7 Succinctly, this law dictates that there is a certain frequency of first digit distribution that occur in the natural system where digit 1 occurs more often than the subsequent digits (i.e. 2–9). Many good-to-fit tests can be applied to check if the observed distribution deviate from the theoretical distribution frequency.

@article{, author = {Kilani, Ahmad}, title = {An interpretation of reported COVID-19 cases in post-Soviet states}, journal = {Journal of Public Health}, year = {2021}, month = {04}, doi = {10.1093/pubmed/fdab091}, eprint = {}, }

Reference Type: Journal Article

Subject Area(s): Medical Sciences