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

Ali Hasan Doğan, Cem Altuntas, Caneren Gül, N. Tunalioglu, B. Erdoğan
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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.
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基于本福德定律的新冠肺炎疫情统计分析
2019年12月中旬在中国武汉首次发现的冠状病毒病是一场持续的大流行,该病毒已在世界各地传播。截至2020年3月13日,欧洲新发病例数开始大幅增加,世界卫生组织宣布欧洲为新冠肺炎大流行的新中心。根据确诊病例数与各国检测次数之比计算得出的确诊病例率(CCR)可用于确认数字的质量,并通过检测是否遵循本福德定律(Benford’s Law, BL)来检测各国卫生监测系统对情况管理的操纵。本研究的主要目的是通过BL对欧洲各国的ccr进行测试,以检测数据质量并监测操纵情况,从而有助于各国卫生监测系统采取预防措施。
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