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Genomic surveillance of SARS-CoV-2 Omicron variants on a university campus

Authors :
Ana A. Weil
Kyle G. Luiten
Amanda M. Casto
Julia C. Bennett
Jessica O’Hanlon
Peter D. Han
Luis S. Gamboa
Evan McDermot
Melissa Truong
Geoffrey S. Gottlieb
Zack Acker
Caitlin R. Wolf
Ariana Magedson
Eric J. Chow
Natalie K. Lo
Lincoln C. Pothan
Devon McDonald
Tessa C. Wright
Kathryn M. McCaffrey
Marlin D. Figgins
Janet A. Englund
Michael Boeckh
Christina M. Lockwood
Deborah A. Nickerson
Jay Shendure
Trevor Bedford
James P. Hughes
Lea M. Starita
Helen Y. Chu
Source :
Nature Communications. 13
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Novel variants continue to emerge in the SARS-CoV-2 pandemic. University testing programs may provide timely epidemiologic and genomic surveillance data to inform public health responses. We conducted testing from September 2021 to February 2022 in a university population under vaccination and indoor mask mandates. A total of 3,048 of 24,393 individuals tested positive for SARS-CoV-2 by RT-PCR; whole genome sequencing identified 209 Delta and 1,730 Omicron genomes of the 1,939 total sequenced. Compared to Delta, Omicron had a shorter median serial interval between genetically identical, symptomatic infections within households (2 versus 6 days, P = 0.021). Omicron also demonstrated a greater peak reproductive number (2.4 versus 1.8), and a 1.07 (95% confidence interval: 0.58, 1.57; P

Details

ISSN :
20411723
Volume :
13
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....016b41a7f3b65d78e43260d8af417220
Full Text :
https://doi.org/10.1038/s41467-022-32786-z