新發現揭示波士頓SARS-CoV-2感染中的超級傳播事件
作者：
小柯機器人發布時間：2020/12/12 20:29:11
美國哈佛大學Bronwyn L. MacInnis等研究人員合作揭示波士頓SARS-CoV-2感染中的超級傳播事件。2020年12月10日，《科學》雜誌在線發表了這項成果。
通過對波士頓地區流行初期772個完整SARS-CoV-2基因組的分析，研究人員揭示了該病毒的大量傳入，其中少數導致大多數病例。數據顯示了兩個超級傳播事件。其中之一是，在一個熟練的護理機構中，這些易感人群導致了快速傳播和大量死亡，但傳播範圍很小，而其他傳入該機構的效果卻很小。在國際商務會議上，第二次傳播產生了持續的社區傳播並被輸出傳播，從而導致了廣泛的區域、國家和國際傳播。
這兩個事件在產生的遺傳變異上也有顯著差異，這表明超級傳播事件中的傳播動力學有所不同。這些結果揭示了基因組流行病學如何幫助理解單個集體與更廣泛的社區傳播之間的聯繫。
附：英文原文
Title: Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events
Author: Jacob E. Lemieux, Katherine J. Siddle, Bennett M. Shaw, Christine Loreth, Stephen F. Schaffner, Adrianne Gladden-Young, Gordon Adams, Timelia Fink, Christopher H. Tomkins-Tinch, Lydia A. Krasilnikova, Katherine C. DeRuff, Melissa Rudy, Matthew R. Bauer, Kim A. Lagerborg, Erica Normandin, Sinéad B. Chapman, Steven K. Reilly, Melis N. Anahtar, Aaron E. Lin, Amber Carter, Cameron Myhrvold, Molly E. Kemball, Sushma Chaluvadi, Caroline Cusick, Katelyn Flowers, Anna Neumann, Felecia Cerrato, Maha Farhat, Damien Slater, Jason B. Harris, John A. Branda, David Hooper, Jessie M. Gaeta, Travis P. Baggett, James O』Connell, Andreas Gnirke, Tami D. Lieberman, Anthony Philippakis, Meagan Burns, Catherine M. Brown, Jeremy Luban, Edward T. Ryan, Sarah E. Turbett, Regina C. LaRocque, William P. Hanage
Issue&Volume: 2020/12/10
Abstract: Analysis of 772 complete SARS-CoV-2 genomes from early in the Boston area epidemic revealed numerous introductions of the virus, a small number of which led to most cases. The data revealed two superspreading events. One, in a skilled nursing facility, led to rapid transmission and significant mortality in this vulnerable population but little broader spread, while other introductions into the facility had little effect. The second, at an international business conference, produced sustained community transmission and was exported, resulting in extensive regional, national, and international spread. The two events also differed significantly in the genetic variation they generated, suggesting varying transmission dynamics in superspreading events. Our results show how genomic epidemiology can help understand the link between individual clusters and wider community spread.
DOI: 10.1126/science.abe3261
Source: https://science.sciencemag.org/content/early/2020/12/09/science.abe3261
Science：《科學》，創刊於1880年。隸屬於美國科學促進會，最新IF：41.037