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dc.contributor.authorCos Guerra, Olga de 
dc.contributor.authorCastillo Salcines, Valentín 
dc.contributor.authorCantarero Prieto, David 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2023-05-18T08:53:22Z
dc.date.available2023-05-18T08:53:22Z
dc.date.issued2023-02
dc.identifier.issn1099-3460
dc.identifier.issn1468-2869
dc.identifier.urihttps://hdl.handle.net/10902/28956
dc.description.abstractThis 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.es_ES
dc.description.sponsorshipThis 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.”es_ES
dc.format.extent13 p.es_ES
dc.language.isoenges_ES
dc.publisherSpringer New York LLCes_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceJournal of Urban Health, 2023, 100, 314-326es_ES
dc.subject.otherSpace-time trendes_ES
dc.subject.otherEmerging hot spotses_ES
dc.subject.otherFunctional urban areases_ES
dc.subject.otherGeographic Information Systemses_ES
dc.subject.otherMunicipalitieses_ES
dc.titleThe role of functional urban areas in the spread of COVID-19 Omicron (Northern Spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s11524-023-00720-3es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1007/s11524-023-00720-3
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcepto si se señala otra cosa, la licencia del ítem se describe como Attribution 4.0 International