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SARS-CoV-2 viral load predicts COVID-19 mortality
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836878/ https://www.ncbi.nlm.nih.gov/pubmed/32771081 http://dx.doi.org/10.1016/S2213-2600(20)30354-4 |
| _version_ | 1783642840615616512 |
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| author | Pujadas, Elisabet Chaudhry, Fayzan McBride, Russell Richter, Felix Zhao, Shan Wajnberg, Ania Nadkarni, Girish Glicksberg, Benjamin S Houldsworth, Jane Cordon-Cardo, Carlos |
| author_facet | Pujadas, Elisabet Chaudhry, Fayzan McBride, Russell Richter, Felix Zhao, Shan Wajnberg, Ania Nadkarni, Girish Glicksberg, Benjamin S Houldsworth, Jane Cordon-Cardo, Carlos |
| author_sort | Pujadas, Elisabet |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7836878 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-78368782021-01-26 SARS-CoV-2 viral load predicts COVID-19 mortality Pujadas, Elisabet Chaudhry, Fayzan McBride, Russell Richter, Felix Zhao, Shan Wajnberg, Ania Nadkarni, Girish Glicksberg, Benjamin S Houldsworth, Jane Cordon-Cardo, Carlos Lancet Respir Med Correspondence Elsevier Ltd. 2020-09 2020-08-06 /pmc/articles/PMC7836878/ /pubmed/32771081 http://dx.doi.org/10.1016/S2213-2600(20)30354-4 Text en © 2020 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Correspondence Pujadas, Elisabet Chaudhry, Fayzan McBride, Russell Richter, Felix Zhao, Shan Wajnberg, Ania Nadkarni, Girish Glicksberg, Benjamin S Houldsworth, Jane Cordon-Cardo, Carlos SARS-CoV-2 viral load predicts COVID-19 mortality |
| title | SARS-CoV-2 viral load predicts COVID-19 mortality |
| title_full | SARS-CoV-2 viral load predicts COVID-19 mortality |
| title_fullStr | SARS-CoV-2 viral load predicts COVID-19 mortality |
| title_full_unstemmed | SARS-CoV-2 viral load predicts COVID-19 mortality |
| title_short | SARS-CoV-2 viral load predicts COVID-19 mortality |
| title_sort | sars-cov-2 viral load predicts covid-19 mortality |
| topic | Correspondence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836878/ https://www.ncbi.nlm.nih.gov/pubmed/32771081 http://dx.doi.org/10.1016/S2213-2600(20)30354-4 |
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