Cargando…
Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy
COVID-19 is a worldwide emergency since it has rapidly spread from China to almost all the countries worldwide. Italy has been one of the most affected countries after China. North Italian regions, such as Lombardia and Veneto, had an abnormally large number of cases. COVID-19 patients management re...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277753/ https://www.ncbi.nlm.nih.gov/pubmed/32408508 http://dx.doi.org/10.3390/ijerph17103344 |
_version_ | 1783543191808507904 |
---|---|
author | Guzzi, Pietro Hiram Tradigo, Giuseppe Veltri, Pierangelo |
author_facet | Guzzi, Pietro Hiram Tradigo, Giuseppe Veltri, Pierangelo |
author_sort | Guzzi, Pietro Hiram |
collection | PubMed |
description | COVID-19 is a worldwide emergency since it has rapidly spread from China to almost all the countries worldwide. Italy has been one of the most affected countries after China. North Italian regions, such as Lombardia and Veneto, had an abnormally large number of cases. COVID-19 patients management requires availability of sufficiently large number of Intensive Care Units (ICUs) beds. Resources shortening is a critical issue when the number of COVID-19 severe cases are higher than the available resources. This is also the case at a regional scale. We analysed Italian data at regional level with the aim to: (i) support health and government decision-makers in gathering rapid and efficient decisions on increasing health structures capacities (in terms of ICU slots) and (ii) define a geographic model to plan emergency and future COVID-19 patients management using reallocating them among health structures. Finally, we retain that the here proposed model can be also used in other countries. |
format | Online Article Text |
id | pubmed-7277753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72777532020-06-12 Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy Guzzi, Pietro Hiram Tradigo, Giuseppe Veltri, Pierangelo Int J Environ Res Public Health Article COVID-19 is a worldwide emergency since it has rapidly spread from China to almost all the countries worldwide. Italy has been one of the most affected countries after China. North Italian regions, such as Lombardia and Veneto, had an abnormally large number of cases. COVID-19 patients management requires availability of sufficiently large number of Intensive Care Units (ICUs) beds. Resources shortening is a critical issue when the number of COVID-19 severe cases are higher than the available resources. This is also the case at a regional scale. We analysed Italian data at regional level with the aim to: (i) support health and government decision-makers in gathering rapid and efficient decisions on increasing health structures capacities (in terms of ICU slots) and (ii) define a geographic model to plan emergency and future COVID-19 patients management using reallocating them among health structures. Finally, we retain that the here proposed model can be also used in other countries. MDPI 2020-05-12 2020-05 /pmc/articles/PMC7277753/ /pubmed/32408508 http://dx.doi.org/10.3390/ijerph17103344 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guzzi, Pietro Hiram Tradigo, Giuseppe Veltri, Pierangelo Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title | Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title_full | Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title_fullStr | Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title_full_unstemmed | Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title_short | Spatio-Temporal Resource Mapping for Intensive Care Units at Regional Level for COVID-19 Emergency in Italy |
title_sort | spatio-temporal resource mapping for intensive care units at regional level for covid-19 emergency in italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7277753/ https://www.ncbi.nlm.nih.gov/pubmed/32408508 http://dx.doi.org/10.3390/ijerph17103344 |
work_keys_str_mv | AT guzzipietrohiram spatiotemporalresourcemappingforintensivecareunitsatregionallevelforcovid19emergencyinitaly AT tradigogiuseppe spatiotemporalresourcemappingforintensivecareunitsatregionallevelforcovid19emergencyinitaly AT veltripierangelo spatiotemporalresourcemappingforintensivecareunitsatregionallevelforcovid19emergencyinitaly |