Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

A geographic perspective is essential in tackling COVID-19. This research study is framed in the collaboration project set up by the University of Cantabria, the Valdecilla Hospital Research Institute (IDIVAL) and the Regional Government of Cantabria. The case study is the Santander functional urba...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Olga De Cos Guerra, Valentín Castillo Salcines, David Cantarero Prieto
Formato:	article
Lenguaje:	EN ES
Publicado:	Asociación Española de Geografía 2021
Materias:	emerging hot-spots geo-technologies micro-data social space multi-scale Environmental sciences GE1-350 Geography (General) G1-922
Acceso en línea:	https://doaj.org/article/77032c5b2d7348f3b0459f2924aa7e49
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:77032c5b2d7348f3b0459f2924aa7e49
record_format	dspace
spelling	oai:doaj.org-article:77032c5b2d7348f3b0459f2924aa7e492021-12-05T10:44:23ZData mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic10.21138/bage.31450212-94262605-3322https://doaj.org/article/77032c5b2d7348f3b0459f2924aa7e492021-12-01T00:00:00Zhttps://bage.age-geografia.es/ojs/index.php/bage/article/view/3145https://doaj.org/toc/0212-9426https://doaj.org/toc/2605-3322 A geographic perspective is essential in tackling COVID-19. This research study is framed in the collaboration project set up by the University of Cantabria, the Valdecilla Hospital Research Institute (IDIVAL) and the Regional Government of Cantabria. The case study is the Santander functional urban area (FUA), which is considered from a multi-scale perspective. The main source is the daily records of micro-data on COVID-19 cases and the methodology is based on ESRI geo-technologies, and more specifically on a tool called SITAR (a Spanish acronym which stands for Fast-Action Territorial Information System). The main goal is to analyse and contribute to knowledge of the spatial patterns of COVID-19 at neighbourhood level from a space-time perspective. To that end the research is based on data mining methods (3D bins and emerging hot-spots) and exploratory geo-statistical analysis (Global Moran’s Index, Nearest Neighbourhood and Ordinary Least Square analyses, among others). The study identifies space-time patterns that show significant hot-spots and demonstrates a high presence of the virus at building level in neighbourhoods where residential and economic uses are mixed. Knowing the spatial behaviour of the virus is strategically important for proposing geo-prevention keys, reducing spread and balancing trade-offs between potential health gains and economic burdens resulting from interventions to deal with the pandemic. Olga De Cos GuerraValentín Castillo SalcinesDavid Cantarero PrietoAsociación Española de Geografíaarticleemerging hot-spotsgeo-technologiesmicro-datasocial spacemulti-scaleEnvironmental sciencesGE1-350Geography (General)G1-922ENESBoletín de la Asociación de Geógrafos Españoles, Iss 91 (2021)
institution	DOAJ
collection	DOAJ
language	EN ES
topic	emerging hot-spots geo-technologies micro-data social space multi-scale Environmental sciences GE1-350 Geography (General) G1-922
spellingShingle	emerging hot-spots geo-technologies micro-data social space multi-scale Environmental sciences GE1-350 Geography (General) G1-922 Olga De Cos Guerra Valentín Castillo Salcines David Cantarero Prieto Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
description	A geographic perspective is essential in tackling COVID-19. This research study is framed in the collaboration project set up by the University of Cantabria, the Valdecilla Hospital Research Institute (IDIVAL) and the Regional Government of Cantabria. The case study is the Santander functional urban area (FUA), which is considered from a multi-scale perspective. The main source is the daily records of micro-data on COVID-19 cases and the methodology is based on ESRI geo-technologies, and more specifically on a tool called SITAR (a Spanish acronym which stands for Fast-Action Territorial Information System). The main goal is to analyse and contribute to knowledge of the spatial patterns of COVID-19 at neighbourhood level from a space-time perspective. To that end the research is based on data mining methods (3D bins and emerging hot-spots) and exploratory geo-statistical analysis (Global Moran’s Index, Nearest Neighbourhood and Ordinary Least Square analyses, among others). The study identifies space-time patterns that show significant hot-spots and demonstrates a high presence of the virus at building level in neighbourhoods where residential and economic uses are mixed. Knowing the spatial behaviour of the virus is strategically important for proposing geo-prevention keys, reducing spread and balancing trade-offs between potential health gains and economic burdens resulting from interventions to deal with the pandemic.
format	article
author	Olga De Cos Guerra Valentín Castillo Salcines David Cantarero Prieto
author_facet	Olga De Cos Guerra Valentín Castillo Salcines David Cantarero Prieto
author_sort	Olga De Cos Guerra
title	Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
title_short	Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
title_full	Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
title_fullStr	Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
title_full_unstemmed	Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic
title_sort	data mining and socio-spatial patterns of covid-19: geo-prevention keys for tackling the pandemic
publisher	Asociación Española de Geografía
publishDate	2021
url	https://doaj.org/article/77032c5b2d7348f3b0459f2924aa7e49
work_keys_str_mv	AT olgadecosguerra dataminingandsociospatialpatternsofcovid19geopreventionkeysfortacklingthepandemic AT valentincastillosalcines dataminingandsociospatialpatternsofcovid19geopreventionkeysfortacklingthepandemic AT davidcantareroprieto dataminingandsociospatialpatternsofcovid19geopreventionkeysfortacklingthepandemic
_version_	1718372389275828224

Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

Ejemplares similares