Service d'Hygiène, Épidémiologie, Infectiovigilance et Prévention, Hospices Civils de Lyon, Lyon, France; Équipe Épidémiologie et Santé Internationale, Laboratoire des Pathogènes Émergents - Fondation Mérieux, Centre International de Recherche en Infectiologie, Institut National de la Santé et de la Recherche Médicale U1111, Centre National de la Recherche Scientifique Unité Mixte de Recherche 5308, École Nationale Supérieure de Lyon, Université Claude Bernard Lyon 1, Lyon, France.
Service d'Hygiène, Épidémiologie, Infectiovigilance et Prévention, Hospices Civils de Lyon, Lyon, France.
Int J Infect Dis. 2021 Mar;104:708-710. doi: 10.1016/j.ijid.2021.01.069. Epub 2021 Feb 3.
A valid measurement of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) incubation period is needed for case definitions and for adapting appropriate isolation measures but is challenging in an emergency context. Our objective was to systematically review recent literature reporting estimates of the distribution of the incubation period of SARS-CoV-2 and describe the distribution and its variability and dispersion through a meta-analysis.
A systematic review was carried out on studies published from 1 January 2020 to 10 January 2021 reporting the SARS-CoV-2 incubation period. Individual mean and standard deviation were used to produce the pooled estimate. Sources of heterogeneity were explored by age, gender and study design using a meta-regression.
In total, 99 studies were eligible for analysis in our meta-analysis. The pooled estimate of the mean incubation period across the studies was 6.38 days, 95% CI (5.79; 6.97).
Calculation of the mean incubation period will help with the identification of time of exposure, however, determinants of its variations/range might be explored for potential links with the clinical outcome or pathogenic steps at the early stage of infection. A real-time meta-analysis, named the InCoVid Lyon, is proposed following this initial analysis.
严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 的潜伏期需要有效的测量，以制定病例定义并采取适当的隔离措施，但在紧急情况下这是具有挑战性的。我们的目的是系统地回顾最近报告 SARS-CoV-2 潜伏期分布的文献，并通过荟萃分析描述其分布及其变异性和离散性。
对 2020 年 1 月 1 日至 2021 年 1 月 10 日期间发表的报告 SARS-CoV-2 潜伏期的研究进行了系统回顾。使用个体平均值和标准差来产生汇总估计值。使用荟萃回归分析年龄、性别和研究设计来探讨异质性的来源。
共有 99 项研究符合荟萃分析的条件。研究中平均潜伏期的汇总估计值为 6.38 天，95%置信区间（5.79；6.97）。
计算平均潜伏期将有助于确定暴露时间，然而，可能会探索其变化范围的决定因素，以寻找与临床结果或感染早期的致病步骤的潜在联系。在进行初始分析后，我们提出了一项名为“InCoVid Lyon”的实时荟萃分析。
