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Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe
The impact of the COVID-19 pandemic varied significantly across different countries, with important consequences in the definition of control and response strategies. In this work, to investigate the heterogeneity of this crisis, we analyse the spatial patterns of deaths attributed to COVID-19 in se...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493647/ https://www.ncbi.nlm.nih.gov/pubmed/34631400 http://dx.doi.org/10.1016/j.spasta.2021.100543 |
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author | Bucci, A. Ippoliti, L. Valentini, P. Fontanella, S. |
author_facet | Bucci, A. Ippoliti, L. Valentini, P. Fontanella, S. |
author_sort | Bucci, A. |
collection | PubMed |
description | The impact of the COVID-19 pandemic varied significantly across different countries, with important consequences in the definition of control and response strategies. In this work, to investigate the heterogeneity of this crisis, we analyse the spatial patterns of deaths attributed to COVID-19 in several European countries. To this end, we propose a Bayesian nonparametric approach, based on mixture of Gaussian processes coupled with Dirichlet process, to group the COVID-19 mortality curves. The model provides a flexible framework for the analysis of time series data, allowing the inclusion in the clustering procedure of different features of the series, such as spatial correlations, time varying parameters and measurement errors. We evaluate the proposed methodology on the death counts recorded at NUTS-2 regional level for several European countries in the period from March 2020 to February 2021. |
format | Online Article Text |
id | pubmed-8493647 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84936472021-10-06 Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe Bucci, A. Ippoliti, L. Valentini, P. Fontanella, S. Spat Stat Article The impact of the COVID-19 pandemic varied significantly across different countries, with important consequences in the definition of control and response strategies. In this work, to investigate the heterogeneity of this crisis, we analyse the spatial patterns of deaths attributed to COVID-19 in several European countries. To this end, we propose a Bayesian nonparametric approach, based on mixture of Gaussian processes coupled with Dirichlet process, to group the COVID-19 mortality curves. The model provides a flexible framework for the analysis of time series data, allowing the inclusion in the clustering procedure of different features of the series, such as spatial correlations, time varying parameters and measurement errors. We evaluate the proposed methodology on the death counts recorded at NUTS-2 regional level for several European countries in the period from March 2020 to February 2021. Elsevier B.V. 2022-06 2021-10-06 /pmc/articles/PMC8493647/ /pubmed/34631400 http://dx.doi.org/10.1016/j.spasta.2021.100543 Text en © 2021 Elsevier B.V. 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 Bucci, A. Ippoliti, L. Valentini, P. Fontanella, S. Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title | Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title_full | Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title_fullStr | Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title_full_unstemmed | Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title_short | Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe |
title_sort | clustering spatio-temporal series of confirmed covid-19 deaths in europe |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493647/ https://www.ncbi.nlm.nih.gov/pubmed/34631400 http://dx.doi.org/10.1016/j.spasta.2021.100543 |
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