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Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations
This diagnostic study describes an online tool created with actual severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus copy number data to help policy makers understand how pooled testing compares with single-sample testing in different populations.
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729431/ https://www.ncbi.nlm.nih.gov/pubmed/33301014 http://dx.doi.org/10.1001/jamanetworkopen.2020.31517 |
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author | Polage, Christopher R. Lee, Mark J. Hubbard, Christopher Rehder, Catherine Cardona, Diana Denny, Thomas Datto, Michael B. |
author_facet | Polage, Christopher R. Lee, Mark J. Hubbard, Christopher Rehder, Catherine Cardona, Diana Denny, Thomas Datto, Michael B. |
author_sort | Polage, Christopher R. |
collection | PubMed |
description | This diagnostic study describes an online tool created with actual severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus copy number data to help policy makers understand how pooled testing compares with single-sample testing in different populations. |
format | Online Article Text |
id | pubmed-7729431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-77294312020-12-18 Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations Polage, Christopher R. Lee, Mark J. Hubbard, Christopher Rehder, Catherine Cardona, Diana Denny, Thomas Datto, Michael B. JAMA Netw Open Research Letter This diagnostic study describes an online tool created with actual severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus copy number data to help policy makers understand how pooled testing compares with single-sample testing in different populations. American Medical Association 2020-12-10 /pmc/articles/PMC7729431/ /pubmed/33301014 http://dx.doi.org/10.1001/jamanetworkopen.2020.31517 Text en Copyright 2020 Polage CR et al. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License. |
spellingShingle | Research Letter Polage, Christopher R. Lee, Mark J. Hubbard, Christopher Rehder, Catherine Cardona, Diana Denny, Thomas Datto, Michael B. Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title | Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title_full | Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title_fullStr | Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title_full_unstemmed | Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title_short | Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations |
title_sort | assessment of an online tool to simulate the effect of pooled testing for sars-cov-2 detection in asymptomatic and symptomatic populations |
topic | Research Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729431/ https://www.ncbi.nlm.nih.gov/pubmed/33301014 http://dx.doi.org/10.1001/jamanetworkopen.2020.31517 |
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