张哲

个人信息Personal Information

教授 博士生导师 硕士生导师

任职 : Aging,Cancer,Cancer Genetics,Oncology Letters,General Physiology and Biophysics ,Experimental and Therapeutic Medicine,Food & Function, Psychosomatic Medicine Research(Section Editor), 赣南医学院学报, 中国生物工程杂志

性别:男

毕业院校:清华大学

学历:研究生(博士)毕业

学位:博士

在职信息:在职

所在单位:基础医学院

入职时间:2021-01-27

学科:遗传学
发育生物学
生物化学与分子生物学

办公地点:山东大学趵突泉校区电镜楼209

联系方式:zhezhang@sdu.edu.cn 课题组常年招聘助理教授,博士后;并欢迎博士生,硕士生,本科生报考和实习。


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Comparison of epidemiological characteristics and transmissibility of different strains of COVID-19 based on the incidence data of all local outbreaks in China as of March 1, 2022

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发表刊物:Frontiers in Public Health

摘要:Background: The epidemiological characteristics and transmissibility of Coronavirus Disease 2019 (COVID-19) may undergo changes due to the mutation of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains. The purpose of this study is to compare the differences in the outbreaks of the different strains with regards to aspects such as epidemiological characteristics, transmissibility, and difficulties in prevention and control.

Methods: COVID-19 data from outbreaks of pre-Delta strains, the Delta variant and Omicron variant, were obtained from the Chinese Center for Disease Control and Prevention (CDC). Case data were collected from China's direct-reporting system, and the data concerning outbreaks were collected by on-site epidemiological investigators and collated by the authors of this paper. Indicators such as the effective reproduction number (R eff), time-dependent reproduction number (R t), rate of decrease in transmissibility (RDT), and duration from the illness onset date to the diagnosed date (D ID )/reported date (D IR ) were used to compare differences in transmissibility between pre-Delta strains, Delta variants and Omicron variants. Non-parametric tests (namely the Kruskal-Wallis H and Mean-Whitney U tests) were used to compare differences in epidemiological characteristics and transmissibility between outbreaks of different strains. P < 0.05 indicated that the difference was statistically significant.

Results: Mainland China has maintained a "dynamic zero-out strategy" since the first case was reported, and clusters of outbreaks have occurred intermittently. The strains causing outbreaks in mainland China have gone through three stages: the outbreak of pre-Delta strains, the outbreak of the Delta variant, and outbreaks involving the superposition of Delta and Omicron variant strains. Each outbreak of pre-Delta strains went through two stages: a rising stage and a falling stage, Each outbreak of the Delta variant and Omicron variant went through three stages: a rising stage, a platform stage and a falling stage. The maximum R eff value of Omicron variant outbreaks was highest (median: 6.7; ranged from 5.3 to 8.0) and the differences were statistically significant. The RDT value of outbreaks involving pre-Delta strains was smallest (median: 91.4%; [IQR]: 87.30-94.27%), and the differences were statistically significant. The D ID and D IR for all strains was mostly in a range of 0-2 days, with more than 75%. The range of duration for outbreaks of pre-Delta strains was the largest (median: 20 days, ranging from 1 to 61 days), and the differences were statistically significant.

Conclusion: With the evolution of the virus, the transmissibility of the variants has increased. The transmissibility of the Omicron variant is higher than that of both the pre-Delta strains and the Delta variant, and is more difficult to suppress. These findings provide us with get a more clear and precise picture of the transmissibility of the different variants in the real world, in accordance with the findings of previous studies. R eff is more suitable than R t for assessing the transmissibility of the disease during an epidemic outbreak.

全部作者:Li Luo,Shiting Yang,Guzainuer Abudurusuli,Nijuan Xiang,Lei Zhou,Rui Wang,Ruiqi Ren,Chao Li,Xiaoye Wang,Dan Li,Zeyu Zhao,Jia Rui,Zhuoyang Li,Bin Deng,Weikang Liu,张哲,Kangguo Li,Chan Liu,Peihua Li,Jiefeng Huang,Tianlong Yang,Yao Wang,Tianmu Chen

第一作者:Niu Yan

论文类型:Journal paper

通讯作者:Qun Li

论文编号:10

卷号:10:949594.

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发表时间:2022-09-01

收录刊物:SCI