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The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)

This study focuses on the space-time patterns of the COVID-19 Omicron wave at a regional scale, using municipal data. We analyze the Basque Country and Cantabria, two adjacent regions in the north of Spain, which between them numbered 491,816 confirmed cases in their 358 municipalities from 15th Nov...

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Autores principales: De Cos, Olga, Castillo, Valentín, Cantarero, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955519/
https://www.ncbi.nlm.nih.gov/pubmed/36829090
http://dx.doi.org/10.1007/s11524-023-00720-3
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author De Cos, Olga
Castillo, Valentín
Cantarero, David
author_facet De Cos, Olga
Castillo, Valentín
Cantarero, David
author_sort De Cos, Olga
collection PubMed
description This study focuses on the space-time patterns of the COVID-19 Omicron wave at a regional scale, using municipal data. We analyze the Basque Country and Cantabria, two adjacent regions in the north of Spain, which between them numbered 491,816 confirmed cases in their 358 municipalities from 15th November 2021 to 31st March 2022. The study seeks to determine the role of functional urban areas (FUAs) in the spread of the Omicron variant of the virus, using ESRI Technology (ArcGIS Pro) and applying intelligence location methods such as 3D-bins and emerging hot spots. Those methods help identify trends and types of problem area, such as hot spots, at municipal level. The results demonstrate that FUAs do not contain an over-concentration of COVID-19 cases, as their location coefficient is under 1.0 in relation to population. Nevertheless, FUAs do have an important role as drivers of spread in the upward curve of the Omicron wave. Significant hot spot patterns are found in 85.0% of FUA area, where 98.9% of FUA cases occur. The distribution of cases shows a spatially stationary linear correlation linked to demographically progressive areas (densely populated, young profile, and with more children per woman) which are well connected by highways and railroads. Based on this research, the proposed GIS methodology can be adapted to other case studies. Considering geo-prevention and WHO Health in All Policies approaches, the research findings reveal spatial patterns that can help policymakers in tackling the pandemic in future waves as society learns to live with the virus.
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spelling pubmed-99555192023-02-28 The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain) De Cos, Olga Castillo, Valentín Cantarero, David J Urban Health Original Article This study focuses on the space-time patterns of the COVID-19 Omicron wave at a regional scale, using municipal data. We analyze the Basque Country and Cantabria, two adjacent regions in the north of Spain, which between them numbered 491,816 confirmed cases in their 358 municipalities from 15th November 2021 to 31st March 2022. The study seeks to determine the role of functional urban areas (FUAs) in the spread of the Omicron variant of the virus, using ESRI Technology (ArcGIS Pro) and applying intelligence location methods such as 3D-bins and emerging hot spots. Those methods help identify trends and types of problem area, such as hot spots, at municipal level. The results demonstrate that FUAs do not contain an over-concentration of COVID-19 cases, as their location coefficient is under 1.0 in relation to population. Nevertheless, FUAs do have an important role as drivers of spread in the upward curve of the Omicron wave. Significant hot spot patterns are found in 85.0% of FUA area, where 98.9% of FUA cases occur. The distribution of cases shows a spatially stationary linear correlation linked to demographically progressive areas (densely populated, young profile, and with more children per woman) which are well connected by highways and railroads. Based on this research, the proposed GIS methodology can be adapted to other case studies. Considering geo-prevention and WHO Health in All Policies approaches, the research findings reveal spatial patterns that can help policymakers in tackling the pandemic in future waves as society learns to live with the virus. Springer US 2023-02-24 2023-04 /pmc/articles/PMC9955519/ /pubmed/36829090 http://dx.doi.org/10.1007/s11524-023-00720-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
De Cos, Olga
Castillo, Valentín
Cantarero, David
The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title_full The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title_fullStr The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title_full_unstemmed The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title_short The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)
title_sort role of functional urban areas in the spread of covid-19 omicron (northern spain)
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955519/
https://www.ncbi.nlm.nih.gov/pubmed/36829090
http://dx.doi.org/10.1007/s11524-023-00720-3
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