Journal
SCIENCE
Volume 371, Issue 6529, Pages 588-+Publisher
AMER ASSOC ADVANCEMENT SCIENCE
DOI: 10.1126/science.abe3261
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Funding
- National Institute of Allergy and Infectious Diseases [U19AI110818, R37AI147868, R01AI148784]
- National Human Genome Research Institute [K99HG010669]
- National Institute of General Medical Sciences of the National Institutes of Health [U54GM088558]
- U.S. Centers for Disease Control and Prevention [U01CK000490]
- Bill and Melinda Gates Foundation
- U.S. Food and Drug Administration [HHSF223201810172C]
- Doris Duke Charitable Foundation
- Howard Hughes Medical Institute
- Merck KGaA Future Insight Prize
- Herchel Smith Fellowship
- Evergrande COVID-19 Response Fund Award from the Massachusetts Consortium on Pathogen Readiness
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Analysis of 772 complete genomes of SARS-CoV-2 from early in the Boston-area epidemic shows multiple introductions of the virus, with two distinct superspreading events. One at a nursing facility resulted in rapid transmission and significant mortality, while the other at an international business conference led to sustained community transmission and widespread spread. The genetic variation generated by these events differed substantially, indicating varying transmission dynamics in superspreading events.
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.
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