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Challenges for mathematical epidemiological modelling
| 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/PMC8902375/ https://www.ncbi.nlm.nih.gov/pubmed/35247639 http://dx.doi.org/10.1016/j.accpm.2022.101053 |
| _version_ | 1784664585000714240 |
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| author | Crépey, Pascal Noël, Harold Alizon, Samuel |
| author_facet | Crépey, Pascal Noël, Harold Alizon, Samuel |
| author_sort | Crépey, Pascal |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-8902375 |
| 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-89023752022-03-08 Challenges for mathematical epidemiological modelling Crépey, Pascal Noël, Harold Alizon, Samuel Anaesth Crit Care Pain Med Editorial Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. 2022-04 2022-03-02 /pmc/articles/PMC8902375/ /pubmed/35247639 http://dx.doi.org/10.1016/j.accpm.2022.101053 Text en © 2022 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 Crépey, Pascal Noël, Harold Alizon, Samuel Challenges for mathematical epidemiological modelling |
| title | Challenges for mathematical epidemiological modelling |
| title_full | Challenges for mathematical epidemiological modelling |
| title_fullStr | Challenges for mathematical epidemiological modelling |
| title_full_unstemmed | Challenges for mathematical epidemiological modelling |
| title_short | Challenges for mathematical epidemiological modelling |
| title_sort | challenges for mathematical epidemiological modelling |
| topic | Editorial |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902375/ https://www.ncbi.nlm.nih.gov/pubmed/35247639 http://dx.doi.org/10.1016/j.accpm.2022.101053 |
| work_keys_str_mv | AT crepeypascal challengesformathematicalepidemiologicalmodelling AT noelharold challengesformathematicalepidemiologicalmodelling AT alizonsamuel challengesformathematicalepidemiologicalmodelling |