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广州市2起由新型冠状病毒奥密克戎变异株引起的本地疫情流行病学参数研究
引用本文:黄勇,郑志伟,陈纯,李科,陈思宇,陈远源,景钦隆,马钰,罗雷,杨智聪,张周斌.广州市2起由新型冠状病毒奥密克戎变异株引起的本地疫情流行病学参数研究[J].中华流行病学杂志,2022,43(11):1705-1710.
作者姓名:黄勇  郑志伟  陈纯  李科  陈思宇  陈远源  景钦隆  马钰  罗雷  杨智聪  张周斌
作者单位:广州市疾病预防控制中心, 广州 510440;广州医科大学公共卫生研究院, 广州 510440
基金项目:广州市医学重点学科(2021-2023-11);广州市卫生健康科技项目(20211A011051,20211A010045)
摘    要:目的 本研究旨在估计广州市2起由新型冠状病毒(新冠病毒)奥密克戎变异株(BA.2)引起的本地疫情的潜伏期、序列间隔和基本再生数(R0)等流行病学参数,探索不同场所聚集性对R0的影响,为奥密克戎变异株疫情防控提供科学依据。方法 收集2022年4-5月广州市2起新冠病毒奥密克戎变异株本地疫情病例数据,使用Weibull、Gamma和lognormal分布对奥密克戎变异株本地疫情的潜伏期、序列间隔分布进行估计,采用指数增长法和极大似然法估计R0结果 两起疫情中位潜伏期为2.94(95%CI:2.52~3.38)d;中位序列间隔为3.32(95%CI:2.89~3.81)d。小型场所聚集性疫情R0为4.40(95%CI:3.95~4.85),机场聚集性疫情R0为11.35(95%CI:11.02~11.67)。结论 广州市2起由新冠病毒奥密克戎变异株引起的本地疫情潜伏期较德尔塔变异株明显缩短。场所聚集程度越高,R0越大,传播速度越快,易呈现暴发疫情,应及时调整防控策略。

关 键 词:新型冠状病毒  奥密克戎变异株  潜伏期  序列间隔  基本再生数
收稿时间:2022/5/23 0:00:00

Epidemiological characteristics of two local COVID-19 outbreaks caused by 2019-nCoV Omicron variant in Guangzhou, China
Huang Yong,Zheng Zhiwei,Chen Chun,Li Ke,Chen Siyu,Chen Yuanyuan,Jing Qinlong,Ma Yu,Luo Lei,Yang Zhicong,Zhang Zhoubin.Epidemiological characteristics of two local COVID-19 outbreaks caused by 2019-nCoV Omicron variant in Guangzhou, China[J].Chinese Journal of Epidemiology,2022,43(11):1705-1710.
Authors:Huang Yong  Zheng Zhiwei  Chen Chun  Li Ke  Chen Siyu  Chen Yuanyuan  Jing Qinlong  Ma Yu  Luo Lei  Yang Zhicong  Zhang Zhoubin
Institution:Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China;Institute of Public Health, Guangzhou Medical University, Guangzhou 510440, China
Abstract:Objective To understand the epidemiological characteristics of two local COVID-19 outbreaks caused by 2019-nCoV Omicron variant in Guangzhou, such as incubation period, serial interval, basic reproductive number (R0) and the influence of gathering places on R0, and provide evidence for the prevention and control of Omicron variant infection. Methods The data of daily confirmed cases of Omicron variant infection from April 8 to May 8, 2022 in two COVID-19 outbreaks in Guangzhou were collected for model fitting. Weibull, Gamma and lognormal distribution were used to estimate incubation period and serial interval. Exponential growth method and the maximum likelihood estimation were used to estimate R0. Results The median of incubation period was 2.94 (95%CI:2.52-3.38) days and median of serial interval was 3.32 (95%CI:2.89-3.81) days. The estimated R0 in small-size place was 4.40 (95%CI:3.95-4.85), while the estimated R0 at airport was 11.35 (95%CI:11.02-11.67). Conclusion The incubation period of Omicron variant in two local COVID-19 outbreaks in Guangzhou is significantly shorter than that of delta variant. The higher the gathering degree in a place, the larger the R0. Due to its rapid transmission, COVID-19 epidemic is prone to occur. Therefore, the COVID-19 prevention and control strategy should be dynamically adjusted in time.
Keywords:2019-nCoV  Omicron variant  Incubation period  Serial interval  Basic reproductive number
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