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新型冠状病毒肺炎平均潜伏期的估计:系统综述、荟萃分析和敏感性分析。

Estimation of the COVID-19 mean incubation time: Systematic review, meta-analysis, and sensitivity analysis.

机构信息

Department of Statistical and Actuarial Sciences, University of Western Ontario, London, Ontario, Canada.

Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario, London, Ontario, Canada.

出版信息

J Med Virol. 2022 Sep;94(9):4156-4169. doi: 10.1002/jmv.27841. Epub 2022 Jun 16.

Abstract

Providing sensible estimates of the mean incubation time for COVID-19 is important yet complex. This study aims to provide synthetic estimates of the mean incubation time of COVID-19 by capitalizing on available estimates reported in the literature and exploring different ways to accommodate heterogeneity involved in the reported studies. Online databases between January 1, 2020 and May 20, 2021 are first searched to obtain estimates of the mean incubation time of COVID-19, and meta-analyses are then conducted to generate synthetic estimates. Heterogeneity of the studies is examined via the use of Cochran's statistic and Higgin's & Thompson's statistic, and subgroup analyses are conducted using mixed effects models. The publication bias issue is assessed using the funnel plot and Egger's test. Using all those reported mean incubation estimates for COVID-19, the synthetic mean incubation time is estimated to be 6.43 days with a 95% confidence interval (CI) [5.90, 6.96], and using all those reported mean incubation estimates together with those transformed median incubation estimates, the estimated mean incubation time is 6.07 days with a 95% CI [5.70, 6.45]. The reported estimates of the mean incubation time of COVID-19 vary considerably due to multiple reasons, including heterogeneity and publication bias. To alleviate these issues, we take different angles to provide a sensible estimate of the mean incubation time of COVID-19. Our analyses show that the mean incubation time of COVID-19 between January 1, 2020 and May 20, 2021 ranges from 5.68 to 8.30 days.

摘要

提供合理的 COVID-19 平均潜伏期估计值很重要,但也很复杂。本研究旨在通过利用文献中报告的现有估计值,并探索不同方法来适应报告研究中涉及的异质性,来提供 COVID-19 平均潜伏期的综合估计值。首先搜索 2020 年 1 月 1 日至 2021 年 5 月 20 日之间的在线数据库,以获取 COVID-19 平均潜伏期的估计值,然后进行荟萃分析以生成综合估计值。使用 Cochran's 统计量和 Higgin's & Thompson's 统计量检查研究的异质性,并使用混合效应模型进行亚组分析。使用漏斗图和 Egger 检验评估发表偏倚问题。使用所有报告的 COVID-19 平均潜伏期估计值,综合平均潜伏期估计值为 6.43 天,95%置信区间(CI)为[5.90,6.96],使用所有报告的平均潜伏期估计值和转换后的中位数潜伏期估计值,估计的平均潜伏期为 6.07 天,95%CI 为[5.70,6.45]。由于多种原因,包括异质性和发表偏倚,报告的 COVID-19 平均潜伏期估计值差异很大。为了解决这些问题,我们从不同角度提供了 COVID-19 平均潜伏期的合理估计值。我们的分析表明,2020 年 1 月 1 日至 2021 年 5 月 20 日期间 COVID-19 的平均潜伏期在 5.68 至 8.30 天之间。

相似文献

本文引用的文献

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Incubation period of COVID-19: A systematic review and meta-analysis.新型冠状病毒肺炎潜伏期:系统评价与荟萃分析。
Rev Clin Esp (Barc). 2021 Feb;221(2):109-117. doi: 10.1016/j.rceng.2020.08.002. Epub 2020 Nov 28.

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