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...

Descripción completa

Detalles Bibliográficos
Autores: Cos Guerra, Olga de|||0000-0002-2245-5378, Castillo Salcines, Valentín, Cantarero Prieto, David
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/28956
Acceso en línea:https://hdl.handle.net/10902/28956
Access Level:acceso abierto
Palabra clave:Space-time trend
Emerging hot spots
Functional urban areas
Geographic Information Systems
Municipalities
id ES_1dac8346030810c0ae7cc710ec8f9fc3
oai_identifier_str oai:repositorio.unican.es:10902/28956
network_acronym_str ES
network_name_str España
repository_id_str
spelling The role of functional urban areas in the spread of COVID-19 Omicron (Northern Spain)Cos Guerra, Olga de|||0000-0002-2245-5378Castillo Salcines, ValentínCantarero Prieto, DavidSpace-time trendEmerging hot spotsFunctional urban areasGeographic Information SystemsMunicipalitiesThis 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.This research was funded by the research project INNVAL20/03 (IDIVAL) entitled “Test de estrés o resistencia en el Sistema Cántabro de Salud, desarrollo de tecnologías innovadoras digitales para modelizar escenarios de mayor utilización sanitaria y soluciones de impacto socioeconómico y humano frente a la COVID-19.”Springer New York LLCUniversidad de Cantabria20232023-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/28956Journal of Urban Health, 2023, 100, 314-326reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/289562026-06-02T12:39:31Z
dc.title.none.fl_str_mv 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)
spellingShingle The role of functional urban areas in the spread of COVID-19 Omicron (Northern Spain)
Cos Guerra, Olga de|||0000-0002-2245-5378
Space-time trend
Emerging hot spots
Functional urban areas
Geographic Information Systems
Municipalities
title_short 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_sort The role of functional urban areas in the spread of COVID-19 Omicron (Northern Spain)
dc.creator.none.fl_str_mv Cos Guerra, Olga de|||0000-0002-2245-5378
Castillo Salcines, Valentín
Cantarero Prieto, David
author Cos Guerra, Olga de|||0000-0002-2245-5378
author_facet Cos Guerra, Olga de|||0000-0002-2245-5378
Castillo Salcines, Valentín
Cantarero Prieto, David
author_role author
author2 Castillo Salcines, Valentín
Cantarero Prieto, David
author2_role author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Space-time trend
Emerging hot spots
Functional urban areas
Geographic Information Systems
Municipalities
topic Space-time trend
Emerging hot spots
Functional urban areas
Geographic Information Systems
Municipalities
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.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/28956
url https://hdl.handle.net/10902/28956
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer New York LLC
publisher.none.fl_str_mv Springer New York LLC
dc.source.none.fl_str_mv Journal of Urban Health, 2023, 100, 314-326
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869404293896863744
score 15,301603

Similares en LA Referencia