About: Sequencing identifies multiple, early introductions of SARS-CoV2 to New York City Region

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About: Sequencing identifies multiple, early introductions of SARS-CoV2 to New York City Region Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Sequencing identifies multiple, early introductions of SARS-CoV2 to New York City Region
Creator	Raabe, Vanessa Aguero-Rosenfeld, Maria Mulligan, Mark Belovarac, Brendan Black, Margaret Boytard, Ludovic Cadley, John Chen, John Cotzia, Paolo Dimartino, Dacia Feng, Xiaojun Gindin, Tatyana Guzman, Emily Heguy, Adriana Hogan, Megan Huang, Emily Jour, George Lin, Lawrence Luther, Raven Lytle, Andrew Marier, Christian Maurano, Matthew Meyn, Peter Ordoñez, Raquel Osman, Iman Pinnell, Jared Ramaswami, Sitharam Rapkiewicz, Amy Ribeiro-Dos-Santos, André Samanovic-Golden, Marie Serrano, Antonio Shen, Guomiao Snuderl, Matija Vougiouklakis, Theodore Vulpescu, Nicholas Westby, Gael Zappile, Paul Zhang, Yutong
Source	MedRxiv; Medline; PMC
abstract	Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 236 SARS-CoV2 sequences from cases in the New York City metropolitan area during the initial stages of the 2020 COVID-19 outbreak. The majority of cases throughout the region had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that the majority were most related to cases from Europe. Our data are consistent with numerous seed transmissions from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of real-time genomic surveillance in addition to traditional epidemiological indicators.
has issue date	2020-04-23(xsd:dateTime)
bibo:doi	10.1101/2020.04.15.20064931
bibo:pmid	32511587
has license	cc-by-nc-nd
sha1sum (hex)	62a3ab3e1ec0c51bd2f65ec64b31b52119352eb1
schema:url	https://doi.org/10.1101/2020.04.15.20064931
resource representing a document's title	Sequencing identifies multiple, early introductions of SARS-CoV2 to New York City Region
has PubMed Central identifier	PMC7276014
has PubMed identifier	32511587
schema:publication	medRxiv
resource representing a document's body	covid:62a3ab3e1ec0c51bd2f65ec64b31b52119352eb1#body_text
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