论文标题
与Newcomb-Benford Law的2019年冠状病毒疾病的测试病例数
Testing Case Number of Coronavirus Disease 2019 in China with Newcomb-Benford Law
论文作者
论文摘要
大约两个月前，2019年冠状病毒疾病在武汉爆发，导致了一千多人死亡。中国正在努力与世界各地的帮助与流行病作斗争。另一方面，似乎对报告的案例编号有疑问。在本文中，我们提出了对中国冠状病毒疾病的案例数量的测试。我们发现$ 92.8 \％$的$ p $价值对Newcomb-Benford Law遵守的累积案例数字有利。即使由于各种原因，报告的案件编号可能低于受影响人数的实际人数，但该测试似乎并没有表明欺诈的检测。
The coronavirus disease 2019 bursted out about two months ago in Wuhan has caused the death of more than a thousand people. China is fighting hard against the epidemics with the helps from all over the world. On the other hand, there appear to be doubts on the reported case number. In this article, we propose a test of the reported case number of coronavirus disease 2019 in China with Newcomb-Benford law. We find a $p$-value of $92.8\%$ in favour that the cumulative case numbers abide by the Newcomb-Benford law. Even though the reported case number can be lower than the real number of affected people due to various reasons, this test does not seem to indicate the detection of frauds.
