Dai Jingyi, Yang Lin, Zhao Jun
Department of Infectious Diseases, The Third People's Hospital of Kunming City, Kunming, Yunnan Province, People's Republic of China.
School of Public Health and Management, Hubei University of Medicine, Shiyan, Hubei Province, People's Republic of China.
Risk Manag Healthc Policy. 2020 Aug 11;13:1111-1117. doi: 10.2147/RMHP.S257907. eCollection 2020.
Factors associated with the incubation period of COVID-19 are not fully known. The aim of this study was to estimate the incubation period of COVID-19 using epidemiological contact tracing data, and to explore whether there were different incubation periods among different age gr1oups.
We collected contact tracing data in a municipality in Hubei province during the full outbreak period of COVID-19. The exposure periods were inferred from the history of travel in Wuhan and/or history of exposure to confirmed cases. The incubation periods were estimated using parametric accelerated failure time models accounting for interval censoring of exposures.
The incubation period of COVID-19 follows a Weibull distribution and has a median of 5.8 days with a bootstrap 95% CI: 5.4-6.7 days. Of the symptomatic cases, 95% showed symptoms by 14.3 days (95% CI: 13.0-15.7), and 99% showed symptoms by 18.7 days (95% CI: 16.7-20.9). The incubation periods were not found significantly different between male and female. Elderly cases had significant longer incubation periods than young age cases (HR 1.49 with 95% CI: 1.09-2.05). The median incubation period was estimated at 4.0 days (95% CI: 3.5-4.4) for cases aged under 30, 5.8 days (95% CI: 5.6-6.0) for cases aged between 30 and 59, and 7.7 days (95% CI: 6.9-8.4) for cases aged greater than or equal to 60.
The current practice of a 14-day quarantine period in many regions is reasonable for any age. Older people infected with SARS-CoV2 have longer incubation period than that of younger people. Thus, more attention should be paid to asymptomatic elderly people who had a history of exposure.
与新型冠状病毒肺炎(COVID-19)潜伏期相关的因素尚不完全清楚。本研究旨在利用流行病学接触追踪数据估计COVID-19的潜伏期,并探讨不同年龄组之间的潜伏期是否存在差异。
我们收集了湖北省某直辖市在COVID-19疫情全面爆发期间的接触追踪数据。暴露期根据在武汉的旅行史和/或接触确诊病例的历史来推断。潜伏期采用参数加速失效时间模型进行估计,该模型考虑了暴露的区间删失。
COVID-19的潜伏期呈威布尔分布,中位数为5.8天,自抽样95%置信区间为:5.4 - 6.7天。有症状的病例中,95%在14.3天内出现症状(95%置信区间:13.0 - 15.7),99%在18.7天内出现症状(95%置信区间:16.7 - 20.9)。未发现男性和女性之间的潜伏期有显著差异。老年病例的潜伏期显著长于年轻病例(风险比为1.49,95%置信区间:1.09 - 2.05)。30岁以下病例的潜伏期估计中位数为4.0天(95%置信区间:3.5 - 4.4),30至59岁病例为5.8天(95%置信区间:5.6 - 6.0),60岁及以上病例为7.7天(95%置信区间:6.9 - 8.4)。
目前许多地区实行的14天隔离期对任何年龄都是合理的。感染严重急性呼吸综合征冠状病毒2(SARS-CoV2)的老年人潜伏期比年轻人更长。因此,应更加关注有接触史的无症状老年人。