《Science,2月5日,Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events》

  • 来源专题:COVID-19科研动态监测
  • 编译者: zhangmin
  • 发布时间:2021-02-25
  • Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events
    View ORCID ProfileJacob E. Lemieux1,2,*,†, View ORCID ProfileKatherine J. Siddle1,3,*, View ORCID ProfileBennett M. Shaw1,2, View ORCID ProfileChristine Loreth1, View ORCID ProfileStephen F. Schaffne...

    Science  05 Feb 2021:
    Vol. 371, Issue 6529, eabe3261
    DOI: 10.1126/science.abe3261

    Structured Abstract
    INTRODUCTION
    We used genomic epidemiology to investigate the introduction and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the Boston area across the first wave of the pandemic, from March through May 2020, including high-density sampling early in this period. Our analysis provides a window into the amplification of transmission in an urban setting, including the impact of superspreading events on local, national, and international spread.

    RATIONALE
    Superspreading is recognized as an important driver of SARS-CoV-2 transmission, but the determinants of superspreading—why apparently similar circumstances can lead to very different outcomes—are poorly understood. The broader impact of such events, both on local transmission and on the overall trajectory of the pandemic, can also be difficult to determine. Our dataset includes hundreds of cases that resulted from superspreading events with different epidemiological features, which allowed us to investigate the nature and effect of superspreading events in the first wave of the pandemic in the Boston area and to track their broader impact.

  • 原文来源:https://science.sciencemag.org/content/371/6529/eabe3261
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  • 《2月5日_波士顿SARS-CoV-2的系统发育分析突出超级传播事件的影响》

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    • 编译者:zhangmin
    • 发布时间:2021-02-25
    • 哈佛大学和波士顿大学等机构的研究人员2月5日在期刊Science上在线发表了题为“Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events”的文章。 文章称,对波士顿地区早期流行的772个不同的SARS-CoV-2基因组的分析显示,多种SARA-COV-2病毒输入了该地区,其中少数毒株导致了大多数病例。这些数据揭示了两个超级传播事件。一次是在护理机构,病毒在弱势群体中快速传播,并导致了较高的死亡率,但此次传播范围很小,病毒并未被传染到其他机构和地区。第二次是在一次国际商业会议上,此次传播持续时间较久,病毒被传播到了其他社区、地区和国家。在这两个事件中,病毒在遗传变异上有很大的不同,表明在超传播事件中有着不同的传播动力学。研究结果显示了基因组层面的流行病学有助于研究人员理解单个集群和更广泛的社区传播之间的联系。 原文链接:https://science.sciencemag.org/content/371/6529/eabe3261