Journal Article

·2023 OPEN ACCESS

Statistical Analysis of Covid-19 Outbreak with Benford’s Law

Ali Hasan Doğan YTU , Cemali Altuntaş YTU , Caneren Gül YTU , Nursu Tunalıoğlu YTU , Bahattin Erdoğan YTU

Yönetim ve Ekonomi Araştırmaları Dergisi

Abstract

The coronavirus disease first identified in mid-December 2019 in Wuhan, China is an ongoing pandemic and the virus has spread around the world. As of 13 March 2020, the number of new cases started to increase significantly in Europe, and Europe was considered as the new center of the Covid-19 pandemic as announced by the WHO. Confirmed case rate (CCR), computed from the numbers of confirmed cases over numbers of tests of the countries can be used to confirm the quality of the numbers, and to detect the manipulation for health surveillance systems of the countries for managing the situation by testing whether or not follow Benford’s Law (BL). The main aim of this study is to test CCRs of the countries in Europe by BL to detect the data qualities and to monitor the manipulations, which can help to take precautions for the health surveillance systems of the countries.

Keywords

Benford's law Pandemic Coronavirus disease 2019 (COVID-19) Outbreak Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) China 2019-20 coronavirus outbreak Coronavirus Geography Medicine Virology Environmental health Demography Infectious disease (medical specialty) Statistics Political science Law Disease Pathology Mathematics Sociology

Subject Areas

Benford’s Law and Fraud Detection ·Statistics and Probability ·Physical Sciences

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