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An Early Pandemic Analysis of SARS-CoV-2 Population Structure and Dynamics in Arizona

Authors :
Rabia Maqsood
Victor Waddell
Crystal M. Hepp
Kenneth Komatsu
Jolene Bowers
Michael Worobey
Megan Folkerts
Grace Quirk
J. Gregory Caporaso
Brendan B. Larsen
Darrin Lemmer
Hayley Yaglom
Thomas D. Watts
Emily A Kaelin
Evan Bolyen
Jason W. Sahl
Krystal Sheridan
Ashlyn Pfeiffer
Jason T. Ladner
Paul Keim
Efrem S. Lim
David M. Engelthaler
Nicholas A. Bokulich
Source :
mBio, 11 (5), mBio, mBio, Vol 11, Iss 5 (2020)
Publication Year :
2020
Publisher :
American Society for Microbiology, 2020.

Abstract

In December of 2019, a novel coronavirus, SARS-CoV-2, emerged in the city of Wuhan, China, causing severe morbidity and mortality. Since then, the virus has swept across the globe, causing millions of confirmed infections and hundreds of thousands of deaths. To better understand the nature of the pandemic and the introduction and spread of the virus in Arizona, we sequenced viral genomes from clinical samples tested at the TGen North Clinical Laboratory, the Arizona Department of Health Services, and those collected as part of community surveillance projects at Arizona State University and the University of Arizona. Phylogenetic analysis of 84 genomes from across Arizona revealed a minimum of 11 distinct introductions inferred to have occurred during February and March. We show that >80% of our sequences descend from strains that were initially circulating widely in Europe but have since dominated the outbreak in the United States. In addition, we show that the first reported case of community transmission in Arizona descended from the Washington state outbreak that was discovered in late February. Notably, none of the observed transmission clusters are epidemiologically linked to the original travel-related case in the state, suggesting successful early isolation and quarantine. Finally, we use molecular clock analyses to demonstrate a lack of identifiable, widespread cryptic transmission in Arizona prior to the middle of February 2020.<br />mBio, 11 (5)<br />ISSN:2150-7511<br />ISSN:2161-2129

Details

Language :
English
ISSN :
21507511 and 21612129
Database :
OpenAIRE
Journal :
mBio, 11 (5), mBio, mBio, Vol 11, Iss 5 (2020)
Accession number :
edsair.doi.dedup.....1a7d604544339df3265bdf97b46a27c0