Meta-analysis of several epidemic characteristics of COVID-19.
Meta-analysis of several epidemic characteristics of COVID-19.
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DOI：
10.6339/jds.202007_18(3).0019
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发表时间：
2020-07
期刊：
影响因子：
--
通讯作者：
Xie SX
中科院分区：
文献类型：
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作者：
Zhang P;Wang T;Xie SX
由于COVID-19大流行严重扰乱了人们的日常工作和生活，因此进行了大量的科学研究来了解这种新流行病的主要特征。在这篇手稿中，我们重点关注有关 COVID-19 的四个关键流行病指标，即基本繁殖数、潜伏期、系列间隔和流行病倍增时间。我们根据中国的 COVID-19 数据收集相关研究，并进行荟萃分析，以获得对四个指标的汇总估计。从总结结果来看，我们得出的结论是，COVID-19 的传播性比 SARS 更强，这意味着需要采取严格的公共卫生策略。
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.