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

Details

• Alternative Title:
  Science
• Personal Author:
  Lemieux, Jacob E. ; Siddle, Katherine J. ; Shaw, Bennett M. ; Loreth, Christine ; Schaffner, Stephen F. ; Gladden-Young, Adrianne ; Adams, Gordon ; Fink, Timelia ; Tomkins-Tinch, Christopher H. ; Krasilnikova, Lydia A. ; DeRuff, Katherine C. ; Rudy, Melissa ; Bauer, Matthew R. ; Lagerborg, Kim A. ; Normandin, Erica ; Chapman, Sinéad B. ; Reilly, Steven K. ; Anahtar, Melis N. ; Lin, Aaron E. ; Carter, Amber ; Myhrvold, Cameron ; Kemball, Molly E. ; Chaluvadi, Sushma ; Cusick, Caroline ; Flowers, Katelyn ; Neumann, Anna ; Cerrato, Felecia ; Farhat, Maha ; Slater, Damien ; Harris, Jason B. ; Branda, John A. ; Hooper, David ; Gaeta, Jessie M. ; Baggett, Travis P. ; O’Connell, James ; Gnirke, Andreas ; Lieberman, Tami D. ; Philippakis, Anthony ; Burns, Meagan ; Brown, Catherine M. ; Luban, Jeremy ; Ryan, Edward T. ; Turbett, Sarah E. ; LaRocque, Regina C. ; Hanage, William P. ; Gallagher, Glen R. ; Madoff, Lawrence C. ; Smole, Sandra ; Pierce, Virginia M. ; Rosenberg, Eric ; Sabeti, Pardis C. ; Park, Daniel J. ; MacInnis, Bronwyn L.
• Description:
  Analysis of 772 complete severe acute respiratory syndrome coronavirus 2 (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, whereas 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 substantially in the genetic variation they generated, suggesting varying transmission dynamics in superspreading events. Our results show how genomic epidemiology can help to understand the link between individual clusters and wider community spread.
• Subjects:
  Article Boston COVID-19 Disease Outbreaks Epidemiological Monitoring Genome, Viral Humans Phylogeny SARS-CoV-2
• Source:
  Science. 371(6529)
• Pubmed ID:
  33303686
• Pubmed Central ID:
  PMC7857412
• Document Type:
  Journal Article
• Funding:
  K99 HG010669/HG/NHGRI NIH HHSUnited States/ ; R37 AI147868/AI/NIAID NIH HHSUnited States/ ; U01 CK000490/CK/NCEZID CDC HHSUnited States/ ; U54 GM088558/GM/NIGMS NIH HHSUnited States/ ; R01 AI128344/AI/NIAID NIH HHSUnited States/ ; U19 AI110818/AI/NIAID NIH HHSUnited States/ ; U01CK000490/ACL/ACL HHSUnited States/ ; R01 AI148784/AI/NIAID NIH HHSUnited States/ ; R00 HG010669/HG/NHGRI NIH HHSUnited States/
• Volume:
  371
• Issue:
  6529
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:a41c0b229068313da9a457b4e401ab7ce3f3cd89eff7eac1477e440321c25a55
• Download URL:
  https://stacks.cdc.gov/view/cdc/102174/cdc_102174_DS1.pdf
• File Type:
  [PDF - 818.43 KB ]