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由不同严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变体引起的2019冠状病毒病(COVID-19)疫情:来自中国的一项描述性比较研究

COVID-19 outbreaks caused by different SARS-CoV-2 variants: a descriptive, comparative study from China.

作者信息

Chen Cao, Feng Yenan, Yin Zeyuan, Pang Mingfan, Shi Qi, Ma Xuejun, Dong Xiao-Ping

机构信息

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases (Zhejiang University), National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, China.

出版信息

Front Public Health. 2024 Dec 12;12:1416900. doi: 10.3389/fpubh.2024.1416900. eCollection 2024.

Abstract

OBJECTIVES

To understand the epidemic characteristics of various SARS-CoV-2 variants, we mainly focus on analyzing general epidemic profiles, viral mutation, and evolution of COVID-19 outbreaks caused by different SARS-CoV-2 variants of concern (VOCs) in China as of August 2022.

METHODS

We systematically sorted out the general epidemic profiles of outbreaks caused by various SARS-CoV-2 VOCs in China, compared the differences of outbreaks caused by Delta and Omicron VOCs, and analyzed the mutational changes of subvariants between the same outbreak and different outbreaks.

FINDINGS

By 15 August 2022, a total of 2, 33, and 124 COVID-19 outbreaks caused by Alpha, Delta, and Omicron VOCs, respectively, were reported in different regions of China. In terms of the number of outbreaks, the extent of affected areas, and the total number of confirmed cases, Omicron VOCs were more widespread than the other variants. The most frequently circulating PANGO lineages in China were B.1.617.2 and AY.122 in Delta VOCs, and BA.2.2.1, BA.2, BA.2.2, and BA.5 for Omicron VOCs. Additional mutations in the genome of the SARS-CoV-2 strain were frequently observed in outbreaks with longer duration and higher numbers of infections.

CONCLUSION

Through the comprehensive analysis of the COVID-19 outbreaks, the influences, and the evolution of the SARS-CoV-2 variants in China, we found differences between outbreaks caused by Delta and Omicron VOCs. The genome of SARS-CoV-2 continued to evolve within the same outbreak and across outbreaks occurring in different locations or at different times. These findings suggest that rapidly containing an Omicron virus outbreak can not only reduce the spread of the virus but also delay the virus's mutation frequency.

摘要

目的

为了解新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)变异株的流行特征,我们主要聚焦于分析截至2022年8月中国不同关注变异株(VOCs)引起的新型冠状病毒肺炎(COVID-19)疫情的总体流行概况、病毒突变及演变情况。

方法

我们系统梳理了中国不同SARS-CoV-2 VOCs引起的疫情总体流行概况,比较了德尔塔和奥密克戎VOCs引起的疫情差异,并分析了同一疫情及不同疫情间亚变体的突变变化。

研究结果

截至2022年8月15日,中国不同地区分别报告了由阿尔法、德尔塔和奥密克戎VOCs引起的2起、33起和124起COVID-19疫情。在疫情数量、受影响地区范围和确诊病例总数方面,奥密克戎VOCs比其他变异株传播更广泛。在中国,德尔塔VOCs中最常见的PANGO谱系是B.1.617.2和AY.122,奥密克戎VOCs中是BA.2.2.1、BA.2、BA.2.2和BA.5。在持续时间较长且感染人数较多的疫情中,经常观察到SARS-CoV-2毒株基因组的额外突变。

结论

通过对中国COVID-19疫情、SARS-CoV-2变异株的影响及演变进行综合分析,我们发现了德尔塔和奥密克戎VOCs引起的疫情之间的差异。SARS-CoV-2基因组在同一疫情内以及在不同地点或不同时间发生的不同疫情之间持续演变。这些发现表明,迅速控制奥密克戎病毒疫情不仅可以减少病毒传播,还可以延缓病毒的突变频率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74b1/11672794/d58cf365e5ee/fpubh-12-1416900-g001.jpg

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