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Principles of mathematical epidemiology and compartmental modelling application to COVID-19
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713430/ https://www.ncbi.nlm.nih.gov/pubmed/34971801 http://dx.doi.org/10.1016/j.accpm.2021.101017 |
| _version_ | 1784623767190765568 |
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| author | Reyné, Bastien Saby, Nicolas Sofonea, Mircea T. |
| author_facet | Reyné, Bastien Saby, Nicolas Sofonea, Mircea T. |
| author_sort | Reyné, Bastien |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8713430 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-87134302021-12-28 Principles of mathematical epidemiology and compartmental modelling application to COVID-19 Reyné, Bastien Saby, Nicolas Sofonea, Mircea T. Anaesth Crit Care Pain Med Editorial Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. 2022-02 2021-12-28 /pmc/articles/PMC8713430/ /pubmed/34971801 http://dx.doi.org/10.1016/j.accpm.2021.101017 Text en © 2021 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. 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 | Editorial Reyné, Bastien Saby, Nicolas Sofonea, Mircea T. Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title | Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title_full | Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title_fullStr | Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title_full_unstemmed | Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title_short | Principles of mathematical epidemiology and compartmental modelling application to COVID-19 |
| title_sort | principles of mathematical epidemiology and compartmental modelling application to covid-19 |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713430/ https://www.ncbi.nlm.nih.gov/pubmed/34971801 http://dx.doi.org/10.1016/j.accpm.2021.101017 |
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