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Predictive mathematical models of the growth of the COVID-19 pandemic
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Biophysical Society. Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833069/ http://dx.doi.org/10.1016/j.bpj.2021.11.2805 |
| _version_ | 1784648846681309184 |
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| author | Luis Fernández-Martínez, Juan Fernández-Muñiz, Zulima Cernea, Ana Kloczkowski, Andrzej |
| author_facet | Luis Fernández-Martínez, Juan Fernández-Muñiz, Zulima Cernea, Ana Kloczkowski, Andrzej |
| author_sort | Luis Fernández-Martínez, Juan |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8833069 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Biophysical Society. Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-88330692022-02-14 Predictive mathematical models of the growth of the COVID-19 pandemic Luis Fernández-Martínez, Juan Fernández-Muñiz, Zulima Cernea, Ana Kloczkowski, Andrzej Biophys J Article Biophysical Society. Published by Elsevier Inc. 2022-02-11 2022-02-11 /pmc/articles/PMC8833069/ http://dx.doi.org/10.1016/j.bpj.2021.11.2805 Text en Copyright © 2021 Biophysical Society. Published by Elsevier Inc. 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 Luis Fernández-Martínez, Juan Fernández-Muñiz, Zulima Cernea, Ana Kloczkowski, Andrzej Predictive mathematical models of the growth of the COVID-19 pandemic |
| title | Predictive mathematical models of the growth of the COVID-19 pandemic |
| title_full | Predictive mathematical models of the growth of the COVID-19 pandemic |
| title_fullStr | Predictive mathematical models of the growth of the COVID-19 pandemic |
| title_full_unstemmed | Predictive mathematical models of the growth of the COVID-19 pandemic |
| title_short | Predictive mathematical models of the growth of the COVID-19 pandemic |
| title_sort | predictive mathematical models of the growth of the covid-19 pandemic |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833069/ http://dx.doi.org/10.1016/j.bpj.2021.11.2805 |
| work_keys_str_mv | AT luisfernandezmartinezjuan predictivemathematicalmodelsofthegrowthofthecovid19pandemic AT fernandezmunizzulima predictivemathematicalmodelsofthegrowthofthecovid19pandemic AT cerneaana predictivemathematicalmodelsofthegrowthofthecovid19pandemic AT kloczkowskiandrzej predictivemathematicalmodelsofthegrowthofthecovid19pandemic |