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About:
Group Testing for Sars-Cov-2 to Enable Rapid Scale-Up of Testing and Real-Time Surveillance of Incidence
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schema:ScholarlyArticle
, within Data Space :
wasabi.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Group Testing for Sars-Cov-2 to Enable Rapid Scale-Up of Testing and Real-Time Surveillance of Incidence
Creator
Busch, Michael
Hanson, Carl
Bebell, Lisa
Christopoulos, Katerina
Gandhi, Monica
Hudgens, Michael
Laeyendecker, Oliver
Pilcher, Christopher
Pilcher, Joshua
We, Acknowledgements
Westreich, Daniel
source
Medline; PMC
abstract
High-throughput molecular testing for SARS-CoV-2 may be enabled by group testing in which pools of specimens are screened, and individual specimens tested only after a pool tests positive. Several labs have recently published examples of pooling strategies applied to SARS-CoV-2 specimens, but overall guidance on efficient pooling strategies is lacking. Therefore we developed a model of the efficiency and accuracy of specimen pooling algorithms based on available data on SAR-CoV-2 viral dynamics. For a fixed number of tests, we estimate that programs using group testing could screen 2 to 20 times as many specimens compared to individual testing; increase the total number of true positive infections identified; and improve the positive predictive value of results. We compare outcomes that may be expected in different testing situations and provide general recommendations for group testing implementation. A free, publicly-available web calculator is provided to help inform laboratory decisions on SARS-CoV-2 pooling algorithms.
has issue date
2020-06-27
(
xsd:dateTime
)
bibo:doi
10.1093/infdis/jiaa378
bibo:pmid
32592581
has license
no-cc
sha1sum (hex)
8c10b05b53886f2e8264d2036d0ccfbde290307c
schema:url
https://doi.org/10.1093/infdis/jiaa378
resource representing a document's title
Group Testing for Sars-Cov-2 to Enable Rapid Scale-Up of Testing and Real-Time Surveillance of Incidence
has PubMed Central identifier
PMC7337777
has PubMed identifier
32592581
schema:publication
J Infect Dis
resource representing a document's body
covid:8c10b05b53886f2e8264d2036d0ccfbde290307c#body_text
is
schema:about
of
named entity 'calculator'
named entity 'data'
named entity 'INDIVIDUAL'
named entity 'GUIDANCE'
named entity 'OUTCOMES'
named entity 'IMPLEMENTATION'
named entity 'TIMES'
named entity 'SARS-COV-2'
named entity 'INFORM'
named entity 'ALGORITHMS'
named entity 'TRUE POSITIVE'
named entity 'DIFFERENT'
named entity 'NUMBER OF'
named entity 'THROUGHPUT'
named entity 'FIXED'
named entity 'ACCURACY'
named entity 'IDENTIFIED'
named entity 'BASED'
named entity 'labs'
named entity 'estimate'
named entity 'strategies'
named entity 'specimens'
named entity 'based'
named entity 'specimens'
named entity 'inform'
named entity 'infections'
named entity 'SARS-CoV-2'
named entity 'tests positive'
named entity 'High-throughput'
named entity 'SARS-COV-2'
named entity 'specimens'
named entity 'China'
named entity '6.5 million'
named entity 'RNA'
named entity 'SARS-CoV-2'
named entity '1, 2'
named entity 'dynamic model'
named entity 'viral load'
named entity 'RNA'
named entity 'infection'
named entity 'virus'
named entity '4.2'
named entity 'SARS-CoV-2'
named entity 'viral RNA'
named entity 'viral load'
named entity 'Wuhan'
named entity 'viral load'
named entity 'PCR'
named entity 'Hong Kong'
named entity 'public health'
named entity 'COVID-19'
named entity '1, 2'
named entity 'RNA'
named entity 'Israel'
named entity 'antibody'
named entity 'antibody'
named entity 'RNA'
named entity 'SARS-CoV-2'
named entity 'probability'
named entity 'faston'
named entity 'viral dynamics'
named entity 'Nebraska'
named entity 'test screening'
named entity 'RNA'
named entity 'epidemic'
named entity 'PPV'
named entity 'virus'
named entity 'COVID-19'
named entity 'HIV-1'
named entity 'SARS-CoV-2'
named entity 'antibody tests'
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