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新型冠状病毒Omicron变异株BA.5.1.3亚型潜伏期研究题录
引用本文:李卫霞,曹莉,张德昊,蔡畅,黄丽菊,赵建农,宁毅.新型冠状病毒Omicron变异株BA.5.1.3亚型潜伏期研究题录[J].中华流行病学杂志,2023,44(3):367-372.
作者姓名:李卫霞  曹莉  张德昊  蔡畅  黄丽菊  赵建农  宁毅
作者单位:海南医学院公共卫生与全健康国际学院数理统计学教研室, 海口 571199;三亚市疾病预防控制中心, 三亚 572000;海南医学院, 海口 571199;海南医学院公共卫生与全健康国际学院数理统计学教研室, 海口 571199;海南医学院第一附属医院, 海口 570102
基金项目:海南省高层次人才项目(820RC649);海南省重点研发项目(ZDYF2021GXJS018)
摘    要:目的研究新型冠状病毒(新冠病毒)感染疫情的Omicron变异株BA.5.1.3亚型的潜伏期。方法基于315例新冠病毒感染者流行病学调查数据, 根据区间删失数据的特点, 采用log-normal和Gamma两种分布估计潜伏期, 利用离散时间马尔科夫链蒙特卡罗算法对分布函数的参数进行贝叶斯估计。结果 315例感染者年龄(42.01±16.54)岁, 男性占30.16%。其中156例报告了症状出现时间, 年龄(41.65±16.32)岁, log-normal和Gamma分布估计发病潜伏期M(Q1, Q3)分别为2.53(1.86, 3.44)d及2.64(1.91, 3.52)d;估计感染潜伏期M(Q1, Q3)分别为2.45(1.76, 3.40)d及2.57(1.81, 3.52)d。结论基于log-normal和Gamma分布进行贝叶斯估计的潜伏期接近, 潜伏期最佳分布均为Gamma分布, 感染潜伏期与发病潜伏期M相差较小, Omicron变异株BA.5.1.3亚型比以往的Omicron变异株的潜伏期M更短。

关 键 词:新型冠状病毒  Omicron变异株  潜伏期  贝叶斯估计
收稿时间:2022/12/12 0:00:00

Study of incubation period of infection with 2019-nCoV Omicron variant BA.5.1.3
Li Weixi,Cao Li,Zhang Dehao,Cai Chang,Huang Liju,Zhao Jiannong,Ning Yi.Study of incubation period of infection with 2019-nCoV Omicron variant BA.5.1.3[J].Chinese Journal of Epidemiology,2023,44(3):367-372.
Authors:Li Weixi  Cao Li  Zhang Dehao  Cai Chang  Huang Liju  Zhao Jiannong  Ning Yi
Institution:Department of Mathematical Statistics, International School of Public Health and One Health, Hainan Medical University, Haikou 571199, China;Sanya Center for Disease Control and Prevention, Sanya 572000, China; Department of Mathematical Statistics, International School of Public Health and One Health, Hainan Medical University, Haikou 571199, China;The First Affiliated Hospital of Hainan Medical University, Haikou 570102, China
Abstract:Objective To study the incubation period of the infection with 2019-nCoV Omicron variant BA.5.1.3. Methods Based on the epidemiological survey data of 315 COVID-19 cases and the characteristics of interval censored data structure, log-normal distribution and Gamma distribution were used to estimate the incubation. Bayes estimation was performed for the parameters of each distribution function using discrete time Markov chain Monte Carlo algorithm.Results The mean age of the 315 COVID-19 cases was (42.01±16.54) years, and men accounted for 30.16%. A total of 156 cases with mean age of (41.65±16.32) years reported the times when symptoms occurred. The log-normal distribution and Gamma distribution indicated that the M (Q1, Q3) of the incubation period from exposure to symptom onset was 2.53 (1.86, 3.44) days and 2.64 (1.91, 3.52) days, respectively, and the M (Q1, Q3) of the incubation period from exposure to the first positive nucleic acid detection was 2.45 (1.76, 3.40) days and 2.57 (1.81, 3.52) days, respectively.Conclusions The incubation period by Bayes estimation based on log-normal distribution and Gamma distribution, respectively, was similar to each other, and the best distribution of incubation period was Gamma distribution, the difference between the incubation period from exposure to the first positive nucleic acid detection and the incubation period from exposure to symptom onset was small. The median of incubation period of infection caused by Omicron variant BA.5.1.3 was shorter than those of previous Omicron variants.
Keywords:2019-nCoV  Omicron variant  Incubation period  Bayes estimation
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