文章基本信息

标题：Meta-Analysis of Several Epidemic Characteristics of COVID-19
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作者：Panpan Zhang ; Tiandong Wang ; Sharon X. Xie 等
期刊名称：Journal of Data Science
印刷版ISSN：1680-743X
电子版ISSN：1683-8602
出版年度：2020
卷号：18
期号：3
页码：536-549
DOI：10.6339/JDS.202007_18(3).0019
出版社：Tingmao Publish Company
摘要：As the COVID-19 pandemic has strongly disrupted people’s daily work and life, a great amount of scientific research has been conducted to understand the key characteristics of this new epidemic. In this manuscript, we focus on four crucial epidemic metrics with regard to the COVID-19, namely the basic reproduction number, the incubation period, the serial interval and the epidemic doubling time. We collect relevant studies based on the COVID-19 data in China and conduct a meta-analysis to obtain pooled estimates on the four metrics. From the summary results, we conclude that the COVID-19 has stronger transmissibility than SARS, implying that stringent public health strategies are necessary.
关键词：basic reproduction number; epidemic doubling time; incubation period; sensitivity analysis; serial interval.