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Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19
| 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/PMC7773527/ https://www.ncbi.nlm.nih.gov/pubmed/33387568 http://dx.doi.org/10.1016/j.jinf.2020.12.026 |
| _version_ | 1783630060356370432 |
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| author | Liu, Ying Li, Min Liu, Dan Luo, Jian Fei Li, Nian Zhang, Xuan Tang, Xiao Ju Zhang, Xin Liu, Jia Wang, Ji Wang, Ting Zhou, Yong Zao Luo, Wen Xin Liang, Zong An Luo, Feng Ming Li, Wei Min Wang, Gang |
| author_facet | Liu, Ying Li, Min Liu, Dan Luo, Jian Fei Li, Nian Zhang, Xuan Tang, Xiao Ju Zhang, Xin Liu, Jia Wang, Ji Wang, Ting Zhou, Yong Zao Luo, Wen Xin Liang, Zong An Luo, Feng Ming Li, Wei Min Wang, Gang |
| author_sort | Liu, Ying |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7773527 |
| 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-77735272020-12-31 Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 Liu, Ying Li, Min Liu, Dan Luo, Jian Fei Li, Nian Zhang, Xuan Tang, Xiao Ju Zhang, Xin Liu, Jia Wang, Ji Wang, Ting Zhou, Yong Zao Luo, Wen Xin Liang, Zong An Luo, Feng Ming Li, Wei Min Wang, Gang J Infect Letter to the Editor The British Infection Association. Published by Elsevier Ltd. 2021-04 2020-12-31 /pmc/articles/PMC7773527/ /pubmed/33387568 http://dx.doi.org/10.1016/j.jinf.2020.12.026 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 Liu, Ying Li, Min Liu, Dan Luo, Jian Fei Li, Nian Zhang, Xuan Tang, Xiao Ju Zhang, Xin Liu, Jia Wang, Ji Wang, Ting Zhou, Yong Zao Luo, Wen Xin Liang, Zong An Luo, Feng Ming Li, Wei Min Wang, Gang Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title | Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title_full | Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title_fullStr | Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title_full_unstemmed | Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title_short | Developing a multivariable risk prediction model to predict prolonged viral clearance in patients with COVID-19 |
| title_sort | developing a multivariable risk prediction model to predict prolonged viral clearance in patients with covid-19 |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773527/ https://www.ncbi.nlm.nih.gov/pubmed/33387568 http://dx.doi.org/10.1016/j.jinf.2020.12.026 |
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