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A new approach to modeling the fade-out threshold of coronavirus disease
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Science China Press. Published by Elsevier B.V. and Science China Press.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195097/ https://www.ncbi.nlm.nih.gov/pubmed/32363046 http://dx.doi.org/10.1016/j.scib.2020.04.016 |
| _version_ | 1783528470209363968 |
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| author | Yue, Tianxiang Fan, Zemeng Fan, Bin Du, Zhengping Wilson, John P. Yin, Xiaozhe Zhao, Na Wang, Ying’an Zhou, Chenghu |
| author_facet | Yue, Tianxiang Fan, Zemeng Fan, Bin Du, Zhengping Wilson, John P. Yin, Xiaozhe Zhao, Na Wang, Ying’an Zhou, Chenghu |
| author_sort | Yue, Tianxiang |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7195097 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | Science China Press. Published by Elsevier B.V. and Science China Press. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-71950972020-05-02 A new approach to modeling the fade-out threshold of coronavirus disease Yue, Tianxiang Fan, Zemeng Fan, Bin Du, Zhengping Wilson, John P. Yin, Xiaozhe Zhao, Na Wang, Ying’an Zhou, Chenghu Sci Bull (Beijing) Article Science China Press. Published by Elsevier B.V. and Science China Press. 2020-08-15 2020-04-13 /pmc/articles/PMC7195097/ /pubmed/32363046 http://dx.doi.org/10.1016/j.scib.2020.04.016 Text en © 2020 Science China Press. Published by Elsevier B.V. and Science China Press. 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 | Article Yue, Tianxiang Fan, Zemeng Fan, Bin Du, Zhengping Wilson, John P. Yin, Xiaozhe Zhao, Na Wang, Ying’an Zhou, Chenghu A new approach to modeling the fade-out threshold of coronavirus disease |
| title | A new approach to modeling the fade-out threshold of coronavirus disease |
| title_full | A new approach to modeling the fade-out threshold of coronavirus disease |
| title_fullStr | A new approach to modeling the fade-out threshold of coronavirus disease |
| title_full_unstemmed | A new approach to modeling the fade-out threshold of coronavirus disease |
| title_short | A new approach to modeling the fade-out threshold of coronavirus disease |
| title_sort | new approach to modeling the fade-out threshold of coronavirus disease |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195097/ https://www.ncbi.nlm.nih.gov/pubmed/32363046 http://dx.doi.org/10.1016/j.scib.2020.04.016 |
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