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About:
Substantial underestimation of SARS-CoV-2 infection in the United States due to incomplete testing and imperfect test accuracy
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Substantial underestimation of SARS-CoV-2 infection in the United States due to incomplete testing and imperfect test accuracy
Creator
Hsiang, Michelle
Hubbard, Alan
Arnold, Benjamin
Colford, John
Wu, Sean
Benjamin-Chung, Jade
Crider, Yoshika
Djajadi, Stephanie
Mertens, Andrew
Nguyen, Anna
Pokpongkiat, Nolan
Reingold, Art
Seth, Anmol
Source
MedRxiv
abstract
Accurate estimates of the burden of SARS-CoV-2 infection are critical to informing pandemic response. Current confirmed COVID-19 case counts in the U.S. do not capture the total burden of the pandemic because testing has been primarily restricted to individuals with moderate to severe symptoms due to limited test availability. Using a semi-Bayesian probabilistic bias analysis to account for incomplete testing and imperfect diagnostic accuracy, we estimated 6,275,072 cumulative infections compared to 721,245 confirmed cases (1.9% vs. 0.2% of the population) as of April 18, 2020. Accounting for uncertainty, the number of infections was 3 to 20 times higher than the number of confirmed cases. 86% (simulation interval: 64-99%) of this difference was due to incomplete testing, while 14% (0.3-36%) was due to imperfect test accuracy. Estimates of SARS-CoV-2 infections that transparently account for testing practices and diagnostic accuracy reveal that the pandemic is larger than confirmed case counts suggest.
has issue date
2020-05-18
(
xsd:dateTime
)
bibo:doi
10.1101/2020.05.12.20091744
has license
medrxiv
sha1sum (hex)
7d37959a44c69f0cd8a618e0e39cbee06116f010
schema:url
https://doi.org/10.1101/2020.05.12.20091744
resource representing a document's title
Substantial underestimation of SARS-CoV-2 infection in the United States due to incomplete testing and imperfect test accuracy
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covid:7d37959a44c69f0cd8a618e0e39cbee06116f010#body_text
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