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A minimal model of hospital patients’ dynamics in COVID-19
Italy has been one of the countries hardest hit by the coronavirus disease (COVID-19) pandemic. While the overall policy in response to the epidemic was to a large degree centralised, the regional basis of the healthcare system represented an important factor affecting the natural dynamics of the di...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386477/ https://www.ncbi.nlm.nih.gov/pubmed/32834645 http://dx.doi.org/10.1016/j.chaos.2020.110157 |
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author | Papo, David Righetti, Marco Fadiga, Luciano Biscarini, Fabio Zanin, Massimiliano |
author_facet | Papo, David Righetti, Marco Fadiga, Luciano Biscarini, Fabio Zanin, Massimiliano |
author_sort | Papo, David |
collection | PubMed |
description | Italy has been one of the countries hardest hit by the coronavirus disease (COVID-19) pandemic. While the overall policy in response to the epidemic was to a large degree centralised, the regional basis of the healthcare system represented an important factor affecting the natural dynamics of the disease induced geographic specificities. Here, we characterise the region-specific modulation of COVID dynamics with a reduced exponential model leveraging available data on sub-intensive and intensive care unit patients made available by all regional councils from the very onset of the disease. This simple model provides a rather good fit of regional patient dynamics, particularly for regions where the affected population was large, highlighting important region-specific patterns of epidemic dynamics. |
format | Online Article Text |
id | pubmed-7386477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73864772020-07-29 A minimal model of hospital patients’ dynamics in COVID-19 Papo, David Righetti, Marco Fadiga, Luciano Biscarini, Fabio Zanin, Massimiliano Chaos Solitons Fractals Article Italy has been one of the countries hardest hit by the coronavirus disease (COVID-19) pandemic. While the overall policy in response to the epidemic was to a large degree centralised, the regional basis of the healthcare system represented an important factor affecting the natural dynamics of the disease induced geographic specificities. Here, we characterise the region-specific modulation of COVID dynamics with a reduced exponential model leveraging available data on sub-intensive and intensive care unit patients made available by all regional councils from the very onset of the disease. This simple model provides a rather good fit of regional patient dynamics, particularly for regions where the affected population was large, highlighting important region-specific patterns of epidemic dynamics. Elsevier Ltd. 2020-11 2020-07-28 /pmc/articles/PMC7386477/ /pubmed/32834645 http://dx.doi.org/10.1016/j.chaos.2020.110157 Text en © 2020 Elsevier Ltd. 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 Papo, David Righetti, Marco Fadiga, Luciano Biscarini, Fabio Zanin, Massimiliano A minimal model of hospital patients’ dynamics in COVID-19 |
title | A minimal model of hospital patients’ dynamics in COVID-19 |
title_full | A minimal model of hospital patients’ dynamics in COVID-19 |
title_fullStr | A minimal model of hospital patients’ dynamics in COVID-19 |
title_full_unstemmed | A minimal model of hospital patients’ dynamics in COVID-19 |
title_short | A minimal model of hospital patients’ dynamics in COVID-19 |
title_sort | minimal model of hospital patients’ dynamics in covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7386477/ https://www.ncbi.nlm.nih.gov/pubmed/32834645 http://dx.doi.org/10.1016/j.chaos.2020.110157 |
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