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MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Published by Elsevier Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747403/ http://dx.doi.org/10.1016/j.jval.2022.09.1764 |
| _version_ | 1784849589464989696 |
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| author | Foglia, E Ferrario, LB Bellavia, D Schettini, F Falletti, E Gallese, C Nobile, MS Riva, SG |
| author_facet | Foglia, E Ferrario, LB Bellavia, D Schettini, F Falletti, E Gallese, C Nobile, MS Riva, SG |
| author_sort | Foglia, E |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9747403 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Published by Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97474032022-12-14 MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model Foglia, E Ferrario, LB Bellavia, D Schettini, F Falletti, E Gallese, C Nobile, MS Riva, SG Value Health Article Published by Elsevier Inc. 2022-12 2022-12-14 /pmc/articles/PMC9747403/ http://dx.doi.org/10.1016/j.jval.2022.09.1764 Text en Copyright © 2022 Published by Elsevier Inc. 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 Foglia, E Ferrario, LB Bellavia, D Schettini, F Falletti, E Gallese, C Nobile, MS Riva, SG MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title | MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title_full | MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title_fullStr | MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title_full_unstemmed | MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title_short | MSR32 COVID-19 Beds’ Occupancy and Hospital Complaints: A Predictive Model |
| title_sort | msr32 covid-19 beds’ occupancy and hospital complaints: a predictive model |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747403/ http://dx.doi.org/10.1016/j.jval.2022.09.1764 |
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