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Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection
[Figure: see text]
| Autores principales: | , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The British Infection Association. Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428766/ https://www.ncbi.nlm.nih.gov/pubmed/34953907 http://dx.doi.org/10.1016/j.jinf.2021.12.013 |
| _version_ | 1784779196112830464 |
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| author | Coltella, Luana Ranno, Stefania Piccioni, Livia Linardos, Giulia Colagrossi, Luna Agosta, Marilena Russo, Cristina Concato, Carlo Campana, Andrea Onetti Muda, Andrea Villani, Alberto Perno, Carlo Federico |
| author_facet | Coltella, Luana Ranno, Stefania Piccioni, Livia Linardos, Giulia Colagrossi, Luna Agosta, Marilena Russo, Cristina Concato, Carlo Campana, Andrea Onetti Muda, Andrea Villani, Alberto Perno, Carlo Federico |
| author_sort | Coltella, Luana |
| collection | PubMed |
| description | [Figure: see text] |
| format | Online Article Text |
| id | pubmed-9428766 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | The British Infection Association. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-94287662022-08-31 Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection Coltella, Luana Ranno, Stefania Piccioni, Livia Linardos, Giulia Colagrossi, Luna Agosta, Marilena Russo, Cristina Concato, Carlo Campana, Andrea Onetti Muda, Andrea Villani, Alberto Perno, Carlo Federico J Infect Letters to the Editor [Figure: see text] The British Infection Association. Published by Elsevier Ltd. 2022-03 2021-12-22 /pmc/articles/PMC9428766/ /pubmed/34953907 http://dx.doi.org/10.1016/j.jinf.2021.12.013 Text en © 2021 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 | Letters to the Editor Coltella, Luana Ranno, Stefania Piccioni, Livia Linardos, Giulia Colagrossi, Luna Agosta, Marilena Russo, Cristina Concato, Carlo Campana, Andrea Onetti Muda, Andrea Villani, Alberto Perno, Carlo Federico Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title | Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title_full | Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title_fullStr | Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title_full_unstemmed | Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title_short | Quantitative SARS-CoV-2 antigen test as a tool able to predict the stage of the infection |
| title_sort | quantitative sars-cov-2 antigen test as a tool able to predict the stage of the infection |
| topic | Letters to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428766/ https://www.ncbi.nlm.nih.gov/pubmed/34953907 http://dx.doi.org/10.1016/j.jinf.2021.12.013 |
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