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The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness()
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605801/ https://www.ncbi.nlm.nih.gov/pubmed/33160803 http://dx.doi.org/10.1016/j.ajem.2020.10.049 |
| _version_ | 1783604382759124992 |
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| author | Hertelendy, Attila J. Goniewicz, Krzysztof Khorram-Manesh, Amir |
| author_facet | Hertelendy, Attila J. Goniewicz, Krzysztof Khorram-Manesh, Amir |
| author_sort | Hertelendy, Attila J. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7605801 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Elsevier Inc. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-76058012020-11-03 The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() Hertelendy, Attila J. Goniewicz, Krzysztof Khorram-Manesh, Amir Am J Emerg Med Article Elsevier Inc. 2021-07 2020-11-02 /pmc/articles/PMC7605801/ /pubmed/33160803 http://dx.doi.org/10.1016/j.ajem.2020.10.049 Text en © 2020 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 Hertelendy, Attila J. Goniewicz, Krzysztof Khorram-Manesh, Amir The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title | The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title_full | The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title_fullStr | The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title_full_unstemmed | The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title_short | The COVID-19 pandemic: How predictive analysis, artificial intelligence and GIS can be integrated into a clinical command system to improve disaster response and preparedness() |
| title_sort | covid-19 pandemic: how predictive analysis, artificial intelligence and gis can be integrated into a clinical command system to improve disaster response and preparedness() |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7605801/ https://www.ncbi.nlm.nih.gov/pubmed/33160803 http://dx.doi.org/10.1016/j.ajem.2020.10.049 |
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