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Phylogenetic analysis of SARS-CoV-2 in Boston highlights the impact of superspreading events

Authors :
David C. Hooper
Anthony A. Philippakis
Jessie M. Gaeta
Sinéad B. Chapman
Christopher Tomkins-Tinch
Caroline N. Cusick
Matthew R. Bauer
John A. Branda
Steven K. Reilly
Lawrence C. Madoff
Kim A. Lagerborg
Stephen F. Schaffner
Molly Kemball
Timelia Fink
Bronwyn MacInnis
Melissa Rudy
Damien Slater
Jeremy Luban
Daniel J. Park
Jacob E. Lemieux
Edward T. Ryan
William P. Hanage
Melis N. Anahtar
Andreas Gnirke
Sushma Chaluvadi
Felecia Cerrato
Adrianne Gladden-Young
Katelyn Flowers
James J. O’Connell
Anna Neumann
Tami D. Lieberman
Eric S. Rosenberg
Catherine M. Brown
Cameron Myhrvold
Bennett M. Shaw
Erica Normandin
Katherine C. DeRuff
Katherine J. Siddle
Jason B. Harris
Sarah E Turbett
Glen R. Gallagher
Travis P. Baggett
Christine Loreth
Pardis C. Sabeti
Virginia M. Pierce
Lydia A. Krasilnikova
Sandra Smole
Amber Carter
Maha R. Farhat
Regina C. LaRocque
Meagan Burns
Aaron E. Lin
Gordon Adams
Source :
Science
Publication Year :
2020
Publisher :
American Association for the Advancement of Science (AAAS), 2020.

Abstract

Phylogenetics of superspreading One important characteristic of coronavirus epidemiology is the occurrence of superspreading events. These are marked by a disproportionate number of cases originating from often-times asymptomatic individuals. Using a rich sequence dataset from the early stages of the Boston outbreak, Lemieux et al. identified superspreading events in specific settings and analyzed them phylogenetically (see the Perspective by Alizon). Using ancestral trait inference, the authors identified several importation events, further investigated the context and contribution of particular superspreading events to the establishment of local and wider SARS-CoV-2 transmission, and used viral phylogenies to describe sustained transmission. Science , this issue p. eabe3261 ; see also p. 574

Details

Language :
English
ISSN :
10959203 and 00368075
Database :
OpenAIRE
Journal :
Science
Accession number :
edsair.doi.dedup.....45a098c0e7d41c24a05e6f49c914d778
Full Text :
https://doi.org/10.1126/science.abe3261