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A method to identify patients with severe COVID-19
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Asian Surgical Association and Taiwan Robotic Surgery Association. Publishing services by Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220991/ https://www.ncbi.nlm.nih.gov/pubmed/34247943 http://dx.doi.org/10.1016/j.asjsur.2021.06.024 |
| _version_ | 1783711248663183360 |
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| author | Liu, Caifeng Guo, Shuai Bian, Pengfei Li, Qiang |
| author_facet | Liu, Caifeng Guo, Shuai Bian, Pengfei Li, Qiang |
| author_sort | Liu, Caifeng |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8220991 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Asian Surgical Association and Taiwan Robotic Surgery Association. Publishing services by Elsevier B.V. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-82209912021-06-23 A method to identify patients with severe COVID-19 Liu, Caifeng Guo, Shuai Bian, Pengfei Li, Qiang Asian J Surg Letter to Editor Asian Surgical Association and Taiwan Robotic Surgery Association. Publishing services by Elsevier B.V. 2021-09 2021-06-23 /pmc/articles/PMC8220991/ /pubmed/34247943 http://dx.doi.org/10.1016/j.asjsur.2021.06.024 Text en © 2021 Asian Surgical Association and Taiwan Robotic Surgery Association. Publishing services by Elsevier B.V. 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 Editor Liu, Caifeng Guo, Shuai Bian, Pengfei Li, Qiang A method to identify patients with severe COVID-19 |
| title | A method to identify patients with severe COVID-19 |
| title_full | A method to identify patients with severe COVID-19 |
| title_fullStr | A method to identify patients with severe COVID-19 |
| title_full_unstemmed | A method to identify patients with severe COVID-19 |
| title_short | A method to identify patients with severe COVID-19 |
| title_sort | method to identify patients with severe covid-19 |
| topic | Letter to Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220991/ https://www.ncbi.nlm.nih.gov/pubmed/34247943 http://dx.doi.org/10.1016/j.asjsur.2021.06.024 |
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