Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

Fauver, Joseph R. and Petrone, Mary E. and Hodcroft, Emma B. and Shioda, Kayoko and Ehrlich, Hanna Y. and Watts, Alexander G. and Vogels, Chantal B. F. and Brito, Anderson F. and Alpert, Tara and Muyombwe, Anthony and Razeq, Jafar and Downing, Randy and Cheemarla, Nagarjuna R. and Wyllie, Anne L. and Kalinich, Chaney C. and Ott, Isabel M. and Quick, Joshua and Loman, Nicholas J. and Neugebauer, Karla M. and Greninger, Alexander L. and Jerome, Keith R. and Roychoudhury, Pavitra and Xie, Hong and Shrestha, Lasata and Huang, Meei-Li and Pitzer, Virginia E. and Iwasaki, Akiko and Omer, Saad B. and Khan, Kamran and Bogoch, Isaac I. and Martinello, Richard A. and Foxman, Ellen F. and Landry, Marie L. and Neher, Richard A. and Ko, Albert I. and Grubaugh, Nathan D.. (2020) Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States. Cell, 181 (5). pp. 990-996.e5.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/79827/

Downloads: Statistics Overview

Abstract

The novel coronavirus SARS-CoV-2 was first detected in the Pacific Northwest region of the United States in January 2020, with subsequent COVID-19 outbreaks detected in all 50 states by early March. To uncover the sources of SARS-CoV-2 introductions and patterns of spread within the United States, we sequenced nine viral genomes from early reported COVID-19 patients in Connecticut. Our phylogenetic analysis places the majority of these genomes with viruses sequenced from Washington state. By coupling our genomic data with domestic and international travel patterns, we show that early SARS-CoV-2 transmission in Connecticut was likely driven by domestic introductions. Moreover, the risk of domestic importation to Connecticut exceeded that of international importation by mid-March regardless of our estimated effects of federal travel restrictions. This study provides evidence of widespread sustained transmission of SARS-CoV-2 within the United States and highlights the critical need for local surveillance.

Faculties and Departments:	05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Computational Modeling of Biological Processes (Neher)
UniBasel Contributors:	Neher, Richard A and Hodcroft, Emma
Item Type:	Article, refereed
Article Subtype:	Research Article
Publisher:	Cell Press
ISSN:	0092-8674
e-ISSN:	1097-4172
Note:	Publication type according to Uni Basel Research Database: Journal article
Related URLs:	Green Open Access
Identification Number:	doi: 10.1016/j.cell.2020.04.021 pmid: 32386545 isi: 000537399500007
Last Modified:	31 Jan 2022 11:07
Deposited On:	31 Jan 2022 11:07

Repository Staff Only: item control page