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A model to identify individuals with a high probability of a SARS-CoV-2 infection
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The British Infection Association. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686708/ https://www.ncbi.nlm.nih.gov/pubmed/33245942 http://dx.doi.org/10.1016/j.jinf.2020.11.028 |
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author | Kowall, B. Nonnemacher, M. Brune, B. Brinkmann, M. Dudda, M. Böttcher, J. Schmidt, B. Standl, F. Stolpe, S. Dittmer, U. Jöckel, KH Stang, A. |
author_facet | Kowall, B. Nonnemacher, M. Brune, B. Brinkmann, M. Dudda, M. Böttcher, J. Schmidt, B. Standl, F. Stolpe, S. Dittmer, U. Jöckel, KH Stang, A. |
author_sort | Kowall, B. |
collection | PubMed |
description | |
format | Online Article Text |
id | pubmed-7686708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The British Infection Association. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76867082020-11-25 A model to identify individuals with a high probability of a SARS-CoV-2 infection Kowall, B. Nonnemacher, M. Brune, B. Brinkmann, M. Dudda, M. Böttcher, J. Schmidt, B. Standl, F. Stolpe, S. Dittmer, U. Jöckel, KH Stang, A. J Infect Letter to the Editor The British Infection Association. Published by Elsevier Ltd. 2021-03 2020-11-25 /pmc/articles/PMC7686708/ /pubmed/33245942 http://dx.doi.org/10.1016/j.jinf.2020.11.028 Text en © 2020 The British Infection Association. Published by 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 | Letter to the Editor Kowall, B. Nonnemacher, M. Brune, B. Brinkmann, M. Dudda, M. Böttcher, J. Schmidt, B. Standl, F. Stolpe, S. Dittmer, U. Jöckel, KH Stang, A. A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title | A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title_full | A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title_fullStr | A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title_full_unstemmed | A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title_short | A model to identify individuals with a high probability of a SARS-CoV-2 infection |
title_sort | model to identify individuals with a high probability of a sars-cov-2 infection |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686708/ https://www.ncbi.nlm.nih.gov/pubmed/33245942 http://dx.doi.org/10.1016/j.jinf.2020.11.028 |
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