Wei Yongyue, Wei Liangmin, Liu Yihan, Huang Lihong, Shen Sipeng, Zhang Ruyang, Chen Jiajin, Zhao Yang, Shen Hongbing, Chen Feng
Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China.
China International Cooperation Center for Environment and Human Health, Center for Global Health, Nanjing Medical University, Nanjing, 211166, China.
Infection. 2022 Aug;50(4):803-813. doi: 10.1007/s15010-021-01682-x. Epub 2021 Aug 18.
To estimate the central tendency and dispersion for incubation period of COVID-19 and, in turn, assess the effect of a certain length of quarantine for close contacts in active monitoring.
Literature related to SARS-CoV-2 and COVID-19 was searched through April 26, 2020. Quality was assessed according to Agency for Healthcare Research and Quality guidelines. Log-normal distribution for the incubation period was assumed to estimate the parameters for each study. Incubation period median and dispersion were estimated, and distribution was simulated.
Fifty-six studies encompassing 4095 cases were included in this meta-analysis. The estimated median incubation period for general transmissions was 5.8 days [95% confidence interval (95% CI): 5.3, 6.2]. Incubation period was significantly longer for asymptomatic transmissions (median: 7.7 days; 95% CI 6.3, 9.4) than for general transmissions (P = 0.0408). Median and dispersion were higher for SARS-CoV-2 incubation compared to other viral respiratory infections. Furthermore, about 12 in 10,000 contacts in active monitoring would develop symptoms after 14 days, or below 1 in 10,000 for asymptomatic transmissions. Meta-regression suggested that each 10-year increase in age resulted in an average 16% increment in length of median incubation (incubation period ratio, 1.16, 95% CI 1.01, 1.32; P = 0.0250).
This study estimated the median and dispersion of the SARS-CoV-2 incubation period more precisely. A 14-day quarantine period is sufficient to trace and identify symptomatic infections.
估计新型冠状病毒肺炎(COVID-19)潜伏期的集中趋势和离散程度,进而评估在主动监测中对密切接触者进行一定时长隔离的效果。
检索截至2020年4月26日与严重急性呼吸综合征冠状病毒2(SARS-CoV-2)和COVID-19相关的文献。根据美国医疗保健研究与质量局的指南评估质量。假定潜伏期呈对数正态分布以估计每项研究的参数。估计潜伏期的中位数和离散程度,并模拟分布情况。
本荟萃分析纳入了56项研究,共4095例病例。一般传播的估计潜伏期中位数为5.8天[95%置信区间(95%CI):5.3,6.2]。无症状传播的潜伏期(中位数:7.7天;95%CI 6.3,9.4)明显长于一般传播(P = 0.0408)。与其他病毒性呼吸道感染相比,SARS-CoV-2潜伏期的中位数和离散程度更高。此外,在主动监测中,每10000名密切接触者中约有12人会在14天后出现症状,无症状传播的这一比例则低于万分之一。荟萃回归分析表明,年龄每增加10岁,潜伏期中位数平均增加16%(潜伏期比值为1.16,95%CI 1.01,1.32;P = 0.0250)。
本研究更精确地估计了SARS-CoV-2潜伏期的中位数和离散程度。14天的隔离期足以追踪和识别有症状的感染。