Cargando…

A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy

The aim of this article is to give a better understanding of the dynamics of the SARS-CoV-2 pandemic in the Bergamo province (Italy), one of the most hit areas of the world, between February and April 2020. A new compartmental model, called SIAT(3)HE, was designed and fitted on accurate data about t...

Descripción completa

Detalles Bibliográficos
Autores principales: Polver, Marco, Previdi, Fabio, Mazzoleni, Mirko, Zucchi, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562130/
http://dx.doi.org/10.1016/j.ifacol.2021.10.266
_version_ 1784593197951877120
author Polver, Marco
Previdi, Fabio
Mazzoleni, Mirko
Zucchi, Alberto
author_facet Polver, Marco
Previdi, Fabio
Mazzoleni, Mirko
Zucchi, Alberto
author_sort Polver, Marco
collection PubMed
description The aim of this article is to give a better understanding of the dynamics of the SARS-CoV-2 pandemic in the Bergamo province (Italy), one of the most hit areas of the world, between February and April 2020. A new compartmental model, called SIAT(3)HE, was designed and fitted on accurate data about the pandemic provided by ATS Bergamo, the health protection agency of the Bergamo province. Our results show that SARS-CoV-2 reached Bergamo in January and infected 318,000 people, the 28.8% of the province population. The 43.1% of the infected individuals stayed asymptomatic. As 6,028 people died due to COVID-19 till April 30th, the infection fatality ratio of SARS-CoV-2 in the Bergamo province was 1.9%. These results are in very good agreement with available information: the number of infections is consistent with the results of recent serological surveys and the number of deaths due to COVID-19 is close to the excess mortality of the considered period.
format Online
Article
Text
id pubmed-8562130
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
record_format MEDLINE/PubMed
spelling pubmed-85621302021-11-02 A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy Polver, Marco Previdi, Fabio Mazzoleni, Mirko Zucchi, Alberto IFAC-PapersOnLine Article The aim of this article is to give a better understanding of the dynamics of the SARS-CoV-2 pandemic in the Bergamo province (Italy), one of the most hit areas of the world, between February and April 2020. A new compartmental model, called SIAT(3)HE, was designed and fitted on accurate data about the pandemic provided by ATS Bergamo, the health protection agency of the Bergamo province. Our results show that SARS-CoV-2 reached Bergamo in January and infected 318,000 people, the 28.8% of the province population. The 43.1% of the infected individuals stayed asymptomatic. As 6,028 people died due to COVID-19 till April 30th, the infection fatality ratio of SARS-CoV-2 in the Bergamo province was 1.9%. These results are in very good agreement with available information: the number of infections is consistent with the results of recent serological surveys and the number of deaths due to COVID-19 is close to the excess mortality of the considered period. , IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 2021 2021-11-02 /pmc/articles/PMC8562130/ http://dx.doi.org/10.1016/j.ifacol.2021.10.266 Text en © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. 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
Polver, Marco
Previdi, Fabio
Mazzoleni, Mirko
Zucchi, Alberto
A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title_full A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title_fullStr A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title_full_unstemmed A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title_short A SIAT(3)HE model of the COVID-19 pandemic in Bergamo, Italy
title_sort siat(3)he model of the covid-19 pandemic in bergamo, italy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562130/
http://dx.doi.org/10.1016/j.ifacol.2021.10.266
work_keys_str_mv AT polvermarco asiat3hemodelofthecovid19pandemicinbergamoitaly
AT previdifabio asiat3hemodelofthecovid19pandemicinbergamoitaly
AT mazzolenimirko asiat3hemodelofthecovid19pandemicinbergamoitaly
AT zucchialberto asiat3hemodelofthecovid19pandemicinbergamoitaly
AT polvermarco siat3hemodelofthecovid19pandemicinbergamoitaly
AT previdifabio siat3hemodelofthecovid19pandemicinbergamoitaly
AT mazzolenimirko siat3hemodelofthecovid19pandemicinbergamoitaly
AT zucchialberto siat3hemodelofthecovid19pandemicinbergamoitaly