Emergency Office and Acute Infectious Disease Prevention Institute, Jiangxi Center for Disease Control and Prevention, Nanchang 330029, China.
J Infect Dev Ctries. 2021 Mar 31;15(3):326-332. doi: 10.3855/jidc.14025.
This paper aims to estimate the incubation period and serial intervals for SARS-CoV-2 based on confirmed cases in Jiangxi Province of China and meta-analysis method.
Distributions of incubation period and serial interval of Jiangxi epidemic data were fitted by "fitdistrplus" package of R software, and the meta-analysis was conducted by "meta" package of R software.
Based on the epidemic data of Jiangxi, we found the median days of incubation period and serial interval were 5.9 days [IQR: 3.8 - 8.6] and 5.7 days [IQR: 3.6 - 8.3], respectively. The median days of the infectivity period at pre-symptomatic was 1.7 days [IQR: 1.1 - 2.4]. The meta-analysis based on 64 papers showed the pooled means of the incubation period and serial interval were 6.25 days (95% CrI: 5.75 - 6.75) and 5.15 days (95% CrI: 4.73 - 5.57), respectively.
Our results contribute to a better understanding of COVID-19 and provide useful parameters for modelling the dynamics of disease transmission. The serial interval is shorter than the incubation period, which indicates that the patients are infectious at pre-symptomatic period, and isolation of detected cases alone is likely to be difficult to halt the spread of SARS-CoV-2.
本研究旨在基于中国江西省确诊病例数据,采用荟萃分析方法估算 SARS-CoV-2 的潜伏期和序列间隔。
利用 R 软件中的“fitdistrplus”包对江西疫情数据的潜伏期和序列间隔分布进行拟合,采用 R 软件中的“meta”包进行荟萃分析。
基于江西疫情数据,我们发现潜伏期和序列间隔的中位数分别为 5.9 天[IQR:3.8-8.6]和 5.7 天[IQR:3.6-8.3]。无症状期的感染期中位数为 1.7 天[IQR:1.1-2.4]。基于 64 篇论文的荟萃分析显示,潜伏期和序列间隔的合并平均值分别为 6.25 天(95%可信区间:5.75-6.75)和 5.15 天(95%可信区间:4.73-5.57)。
本研究结果有助于更好地了解 COVID-19,并为疾病传播动力学模型提供有用的参数。序列间隔短于潜伏期,这表明患者在无症状期具有传染性,仅对已发现病例进行隔离可能难以阻止 SARS-CoV-2 的传播。