论文标题

流行时间趋势的非参数比较:Covid-19

Nonparametric comparison of epidemic time trends: the case of COVID-19

论文作者

Khismatullina, Marina, Vogt, Michael

论文摘要

COVID-19大流行是目前最紧迫的问题之一。一个问题对政府和政策制定者特别重要的问题是:该病毒在不同国家中是否以相同的方式传播?还是在流行病的发展上存在显着差异?在本文中,我们设计了新的推理方法,以允许以统计严格的方式检测各个国家的共同流行病的发展差异。在我们的实证研究中,我们使用这些方法比较了许多欧洲国家中流行病的爆发模式。

The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there significant differences in the development of the epidemic? In this paper, we devise new inference methods that allow to detect differences in the development of the COVID-19 epidemic across countries in a statistically rigorous way. In our empirical study, we use the methods to compare the outbreak patterns of the epidemic in a number of European countries.

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