Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans

Several studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors a ect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and...

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Authors: Cos Guerra, Olga de|||0000-0002-2245-5378, Castillo Salcines, Valentín, Cantarero Prieto, David|||0000-0001-8082-0639
Format: article
Publication Date:2020
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:repositorio.unican.es:10902/20205
Online Access:http://hdl.handle.net/10902/20205
Access Level:Open access
Keyword:Spatial patterns
COVID-19
Microdata
Geographic information technologies
ArcGIS
Public health
Geoprevention
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spelling Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plansCos Guerra, Olga de|||0000-0002-2245-5378Castillo Salcines, ValentínCantarero Prieto, David|||0000-0001-8082-0639Spatial patternsCOVID-19MicrodataGeographic information technologiesArcGISPublic healthGeopreventionSeveral studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors a ect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and implementing a geospatial methodology and digital system called SITAR (Fast Action Territorial Information System, by its Spanish acronym). We analyze as a study case a region of Spain called Cantabria, geocoding a daily series of microdata coronavirus records provided by the health authorities (Government of Cantabria-Spain) with the permission of Medicines Ethics Committee from Cantabria (CEIm, June 2020). Geocoding allows us to provide a new point layer based on the microdata table that includes cases with a positive result in a COVID-19 test. Regarding general methodology, our research is based on Geographical Information Technologies using Environmental Systems Research Institute (ESRI) Technologies. This tool is a global reference for spatial COVID-19 research, probably due to the world-renowned COVID-19 dashboard implemented by the Johns Hopkins University team. In our analysis, we found that the spatial distribution of COVID-19 in urban locations presents a not random distribution with clustered patterns and density matters in the spread of the COVID-19 pandemic. As a result, large metropolitan areas or districts with a higher number of persons tightly linked together through economic, social, and commuting relationships are the most vulnerable to pandemic outbreaks, particularly in our case study. Furthermore, public health and geoprevention plans should avoid the idea of economic or territorial stigmatizations. We hold the idea that SITAR in particular and Geographic Information Technologies in general contribute to strategic spatial information and relevant results with a necessary multi-scalar perspective to control the pandemic.This research was funded by Government of Cantabria (Spain) grant number UC: 10.3834.64001 called “Asistencia en la adecuación de Cantabria al plan para la transición haca una nueva normalidad en tiempos del Covid-19: aportaciones socioeconómicas” University of Cantabria—IDIVAL Valdecilla—Government of Cantabria (Spain). And the APC was funded by IDIVAL support program.MDPIUniversidad de Cantabria20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/20205International Journal of Environmental Research and Public Health, 2020, 17, 8468reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución 3.0 Españahttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/202052026-06-02T12:39:31Z
dc.title.none.fl_str_mv Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
title Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
spellingShingle Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
Cos Guerra, Olga de|||0000-0002-2245-5378
Spatial patterns
COVID-19
Microdata
Geographic information technologies
ArcGIS
Public health
Geoprevention
title_short Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
title_full Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
title_fullStr Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
title_full_unstemmed Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
title_sort Facing a second wave from a regional view: spatial patterns of COVID-19 as a key determinant for public health and geoprevention plans
dc.creator.none.fl_str_mv Cos Guerra, Olga de|||0000-0002-2245-5378
Castillo Salcines, Valentín
Cantarero Prieto, David|||0000-0001-8082-0639
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|||0000-0001-8082-0639
author_role author
author2 Castillo Salcines, Valentín
Cantarero Prieto, David|||0000-0001-8082-0639
author2_role author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Spatial patterns
COVID-19
Microdata
Geographic information technologies
ArcGIS
Public health
Geoprevention
topic Spatial patterns
COVID-19
Microdata
Geographic information technologies
ArcGIS
Public health
Geoprevention
description Several studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors a ect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and implementing a geospatial methodology and digital system called SITAR (Fast Action Territorial Information System, by its Spanish acronym). We analyze as a study case a region of Spain called Cantabria, geocoding a daily series of microdata coronavirus records provided by the health authorities (Government of Cantabria-Spain) with the permission of Medicines Ethics Committee from Cantabria (CEIm, June 2020). Geocoding allows us to provide a new point layer based on the microdata table that includes cases with a positive result in a COVID-19 test. Regarding general methodology, our research is based on Geographical Information Technologies using Environmental Systems Research Institute (ESRI) Technologies. This tool is a global reference for spatial COVID-19 research, probably due to the world-renowned COVID-19 dashboard implemented by the Johns Hopkins University team. In our analysis, we found that the spatial distribution of COVID-19 in urban locations presents a not random distribution with clustered patterns and density matters in the spread of the COVID-19 pandemic. As a result, large metropolitan areas or districts with a higher number of persons tightly linked together through economic, social, and commuting relationships are the most vulnerable to pandemic outbreaks, particularly in our case study. Furthermore, public health and geoprevention plans should avoid the idea of economic or territorial stigmatizations. We hold the idea that SITAR in particular and Geographic Information Technologies in general contribute to strategic spatial information and relevant results with a necessary multi-scalar perspective to control the pandemic.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
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 http://hdl.handle.net/10902/20205
url http://hdl.handle.net/10902/20205
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
Atribución 3.0 España
http://creativecommons.org/licenses/by/3.0/es/
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
Atribución 3.0 España
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv International Journal of Environmental Research and Public Health, 2020, 17, 8468
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
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score 15.300719

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