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A model study on predicting new COVID-19 cases in China based on social and news media
| 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/PMC8743377/ https://www.ncbi.nlm.nih.gov/pubmed/35021113 http://dx.doi.org/10.1016/j.jinf.2022.01.009 |
| _version_ | 1784629889942421504 |
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| author | Lin, Mengxuan Chen, Hui Wang, Yuqi Qiu, Shaofu Yang, Mingjuan Du, Xinying Zheng, Tao Song, Hongbin Wang, Ligui |
| author_facet | Lin, Mengxuan Chen, Hui Wang, Yuqi Qiu, Shaofu Yang, Mingjuan Du, Xinying Zheng, Tao Song, Hongbin Wang, Ligui |
| author_sort | Lin, Mengxuan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8743377 |
| 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-87433772022-01-10 A model study on predicting new COVID-19 cases in China based on social and news media Lin, Mengxuan Chen, Hui Wang, Yuqi Qiu, Shaofu Yang, Mingjuan Du, Xinying Zheng, Tao Song, Hongbin Wang, Ligui J Infect Letter to the Editor The British Infection Association. Published by Elsevier Ltd. 2022-04 2022-01-10 /pmc/articles/PMC8743377/ /pubmed/35021113 http://dx.doi.org/10.1016/j.jinf.2022.01.009 Text en © 2022 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 Lin, Mengxuan Chen, Hui Wang, Yuqi Qiu, Shaofu Yang, Mingjuan Du, Xinying Zheng, Tao Song, Hongbin Wang, Ligui A model study on predicting new COVID-19 cases in China based on social and news media |
| title | A model study on predicting new COVID-19 cases in China based on social and news media |
| title_full | A model study on predicting new COVID-19 cases in China based on social and news media |
| title_fullStr | A model study on predicting new COVID-19 cases in China based on social and news media |
| title_full_unstemmed | A model study on predicting new COVID-19 cases in China based on social and news media |
| title_short | A model study on predicting new COVID-19 cases in China based on social and news media |
| title_sort | model study on predicting new covid-19 cases in china based on social and news media |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8743377/ https://www.ncbi.nlm.nih.gov/pubmed/35021113 http://dx.doi.org/10.1016/j.jinf.2022.01.009 |
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