Cryptic transmission of SARS-CoV-2 in Washington State

Abstract Following its emergence in Wuhan, China, in late November or early December 2019, the SARS-CoV-2 virus has rapidly spread throughout the world. Genome sequencing of SARS-CoV-2 strains allows for the reconstruction of transmission history connecting these infections. Here, we analyze 346 SARS-CoV-2 genomes from samples collected between 20 February and 15 March 2020 from infected patients in Washington State, USA. We found that the large majority of SARS-CoV-2 infections sampled during this time frame appeared to have derived from a single introduction event into the state in late January or early February 2020 and subsequent local spread, indicating cryptic spread of COVID-19 before active community surveillance was implemented. We estimate a common ancestor of this outbreak clade as occurring between 18 January and 9 February 2020. From genomic data, we estimate an exponential doubling between 2.4 and 5.1 days. These results highlight the need for large-scale community surveillance for SARS-CoV-2 and the power of pathogen genomics to inform epidemiological understanding..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

bioRxiv.org - (2022) vom: 20. Okt. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Bedford, Trevor [VerfasserIn]
Greninger, Alexander L. [VerfasserIn]
Roychoudhury, Pavitra [VerfasserIn]
Starita, Lea M. [VerfasserIn]
Famulare, Michael [VerfasserIn]
Huang, Meei-Li [VerfasserIn]
Nalla, Arun [VerfasserIn]
Pepper, Gregory [VerfasserIn]
Reinhardt, Adam [VerfasserIn]
Xie, Hong [VerfasserIn]
Shrestha, Lasata [VerfasserIn]
Nguyen, Truong N [VerfasserIn]
Adler, Amanda [VerfasserIn]
Brandstetter, Elisabeth [VerfasserIn]
Cho, Shari [VerfasserIn]
Giroux, Danielle [VerfasserIn]
Han, Peter D. [VerfasserIn]
Fay, Kairsten [VerfasserIn]
Frazar, Chris D. [VerfasserIn]
Ilcisin, Misja [VerfasserIn]
Lacombe, Kirsten [VerfasserIn]
Lee, Jover [VerfasserIn]
Kiavand, Anahita [VerfasserIn]
Richardson, Matthew [VerfasserIn]
Sibley, Thomas R. [VerfasserIn]
Truong, Melissa [VerfasserIn]
Wolf, Caitlin R. [VerfasserIn]
Nickerson, Deborah A. [VerfasserIn]
Rieder, Mark J. [VerfasserIn]
Englund, Janet A. [VerfasserIn]
Hadfield, James [VerfasserIn]
Hodcroft, Emma B. [VerfasserIn]
Huddleston, John [VerfasserIn]
Moncla, Louise H. [VerfasserIn]
Müller, Nicola F. [VerfasserIn]
Neher, Richard A. [VerfasserIn]
Deng, Xianding [VerfasserIn]
Gu, Wei [VerfasserIn]
Federman, Scot [VerfasserIn]
Chiu, Charles [VerfasserIn]
Duchin, Jeff [VerfasserIn]
Gautom, Romesh [VerfasserIn]
Melly, Geoff [VerfasserIn]
Hiatt, Brian [VerfasserIn]
Dykema, Philip [VerfasserIn]
Lindquist, Scott [VerfasserIn]
Queen, Krista [VerfasserIn]
Tao, Ying [VerfasserIn]
Uehara, Anna [VerfasserIn]
Tong, Suxiang [VerfasserIn]
MacCannell, Duncan [VerfasserIn]
Armstrong, Gregory L. [VerfasserIn]
Baird, Geoffrey S. [VerfasserIn]
Chu, Helen Y. [VerfasserIn]
Shendure, Jay [VerfasserIn]
Jerome, Keith R. [VerfasserIn]

Links:

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Themen:

570
Biology

doi:

10.1101/2020.04.02.20051417

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI017899230