About: Seroconversion of a city: Longitudinal monitoring of SARS-CoV-2 seroprevalence in New York City

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About: Seroconversion of a city: Longitudinal monitoring of SARS-CoV-2 seroprevalence in New York City Goto Sponge NotDistinct Permalink

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

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Seroconversion of a city: Longitudinal monitoring of SARS-CoV-2 seroprevalence in New York City
Creator	Krammer, Florian Simon, Viviana Amanat, Fatima Nowak, Michael Arunkumar, Guha Fabre, Hernandez, Matthew Jhang, Jeffrey Jiang, Kaijun Mcmahon, Meagan Sordillo, Emilia Stadlbauer, Daniel Tan, Jessica Teo, Catherine Shelcie, Van 6 Bakel, Harm
Source	MedRxiv
abstract	By conducting a retrospective, cross-sectional analysis of SARS-CoV-2 seroprevalence in a sentinel group (enriched for SARS-CoV-2 infections) and a screening group (representative of the general population) using >5,000 plasma samples from patients at Mount Sinai Hospital in New York City (NYC), we identified seropositive samples as early as in the week ending February 23, 2020. A stark increase in seropositivity in the sentinel group started the week ending March 22 and in the screening group in the week ending March 29. By the week ending April 19, the seroprevalence in the screening group reached 19.3%, which is well below the estimated 67% needed to achieve community immunity to SARS-CoV-2. These data potentially suggest an earlier than previously documented introduction of SARS-CoV-2 into the NYC metropolitan area.
has issue date	2020-06-29(xsd:dateTime)
bibo:doi	10.1101/2020.06.28.20142190
has license	medrxiv
sha1sum (hex)	b5d9d83fd761e84dc3efe8d97645b950e486eecf
schema:url	https://doi.org/10.1101/2020.06.28.20142190
resource representing a document's title	Seroconversion of a city: Longitudinal monitoring of SARS-CoV-2 seroprevalence in New York City
resource representing a document's body	covid:b5d9d83fd761e84dc3efe8d97645b950e486eecf#body_text
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