About: Estimating population immunity without serological testing

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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
title	Estimating population immunity without serological testing
Creator	Lesniewski, Andrew
source	MedRxiv
abstract	We propose an approximate methodology for estimating the overall level of immunity against COVID-19 in a population that has been affected by the recent epidemic. The methodology relies on the currently available mortality data and utilizes the properties of the SIR model. We illustrate the application of the method by estimating the recent levels of immunity in 10 US states with highest case numbers of COVID-19.
has issue date	2020-04-26(xsd:dateTime)
bibo:doi	10.1101/2020.04.23.20076786
has license	medrxiv
sha1sum (hex)	d299c603eb79bd94e43acdecc58a226e087b1f58
schema:url	https://doi.org/10.1101/2020.04.23.20076786
resource representing a document's title	Estimating population immunity without serological testing
resource representing a document's body	covid:d299c603eb79bd94e43acdecc58a226e087b1f58#body_text
is schema:about of	named entity 'SIR model' named entity 'population' named entity 'serological testing' named entity 'approximate' named entity 'illustrate' »more»

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