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{{ANEEtiqueta|palabrasclave=pandemiapandemic, covid19, COVID-19, población absolutaabsolute population, casos de COVID-19cases, focos de contagio por COVID-19hotspots, tasa de frecuentación de COVID-19frequenting rate, riesgo de contagio por risk of COVID-19infection, vulnerabilidad al contagio por vulnerability to COVID-19, vulnerabilidad socialvulnerability|descripcion=Análisis de los comportamientos espaciales diferenciados a través de mapas y tablas del Analysis of different spatial behaviours through maps and tables from the National Atlas Nacional de Españaof Spain.|url=valor}}{{ANEObra|Serie=Monographs from the National Atlas of Spain|Logo=[[File:Logo Monografía.jpg|left|50x50px|link=]]|Título=The COVID-19 pandemic in Spain|Subtítulo=First wave: from the first cases to the end of June 2020|Año=2021|Contenido=New content}}{{ANENavegacionCapitulo (monografía COVID-19)|estructura=[[Thematic structure(COVID-19 monograph)]]|seccion=[[The COVID-19 pandemic in Spain]]|capitulo=Different spatial behaviours}}{{ANEIndiceCapitulo|colorcaja=#628D93

}}<br>{{ANENavegacionHermanos |anterior=[[Overview]] |siguiente=[[Internal territorial governance]] }}

<div style="text-align:right"><div style="color:MediumBlue"><div style="padding-top: 0em; padding-right: 3em6em; padding-bottom: 0em; padding-left: 0em>'''POPULATIONS AS OF 1 JANUARY 2020'''</div>

| style= "background:White; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Corunna / A Coruña||style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px; width:100px"|247,640

| style="background:Ivory; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Vigo|| style="background:Ivory; text-align:right; color:#000000; border: solid; border-width: 1px" |296,629

| style="background:White; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Ourense|| style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px"|105,643

| style="background:Ivory; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" |Santiago de Compostela||style="background:Ivory; text-align:right; color:#000000; border: solid; border-width: 1px" |97,848

| style="background:White; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Saragossa / Zaragoza|| style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px"|681,877

| style="background:Ivory; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Barcelona || style="background:Ivory; text-align:right; color:#000000; border: solid; border-width: 1px" |1,664,182

| style="background:White; text-align:left;color:#000000; border: solid; border-width: 1px; width:200px300px" | Madrid||style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px"|3,334,730

| style="background:Ivory; text-align:left; color:#000000; border: solid; border-width: 1px; width:150px300px" |Málaga || style="background:Ivory; text-align:right; color:#000000; border: solid; border-width: 1px" |578,460

| style= "background:White; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Galicia||style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px"|2,701,819

| style="background:Ivory; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Metropolitan Area of Barcelona||style="background:Ivory; text-align:right; color:#000000; border: solid; border-width: 1px" |3,339,279

| style= "background:White; text-align:left; color:#000000; border: solid; border-width: 1px; width:200px300px" | Region of Madrid|| style="background:White; text-align:right; color:#000000; border: solid; border-width: 1px"| 6,779,888

| colspan=2; style="background:white; text-align:left" | <div style="padding-top: 0em0.5em; padding-right: 0.5em; padding-bottom: 0em0.5em; padding-left: 0.5em; style="background:White; font-size: 95%"><small style="color:#959595">FuenteSource: Estadística del Padrón continuo Continuous Register Statistics 2020. INENational Statistics Institute. List of municipalities and over-municipal territories analysed in this chapter. Se relacionan las ciudades y ámbitos supramunicipales que se analizan en los ejemplos contenidos en este temaThey are listed in the order in which they appear on this publication. Figuran en el orden en el que aparecen en la publicación</small></div>

<div style="text-align:left">[[File:Logo MonografíaSpain_Key-map-to-the-areas-analysed_2020_map_18050_eng.jpg||left|thumb|300px|Map: Key map to the areas analysed. 2020. Spain.[//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_DensidadSpain_Key-demap-poblacionto-enthe-laareas-Union-Europea_2019_mapa_18193_spaanalysed_2020_map_18050_eng.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_DensidadEspana_Localizacion-de-poblacion-en-lacomportamientos-Unionespaciales-Europea_2019_mapa_18193_spadiferenciados_2020_mapa_18050_spa.zip DatosMore information].]]The impact first image to emerge is the decisive importance of human factors on the first wave incidence of the COVID-19 pandemic on health in Spain was uneven from a spatial point of viewurban areas. AccordinglyMobility, income, unemployment, whilst percentage of the province was population living below the territorial unit poverty line, type of housing and spatial distribution of nursing homes are just some of analysis the factors that shall be taken into account when assessing the impact on health. This chapter goes one step further by considering synthetic indices that highlight risk, hazard and mapping vulnerability in preceding chapters, this excerpt looks through a more detailed lens at metropolitan areaseven smaller spatial units, municipalities, boroughs, neighbourhoods and such as census sections.

The first image key map shows the five areas used to emerge is assess the decisive importance of human factors on the incidence impact of the pandemic on health in cities and metropolitan urban areas, i. Mobilitye. Galicia, incomethe cities of Saragossa (Zaragoza) and Málaga, unemploymentBarcelona and its metropolitan area, percentage and the city of Madrid together with the population living below Region of Madrid (Comunidad de Madrid). Maps for the poverty line, type cities of housing Saragossa (Zaragoza) and spatial distribution of nursing homes Málaga are just some of limited to the municipal boundaries. In Galicia, an overview on the factors that must be whole region is first taken whilst the text delves afterwards into account when assessing the impact on healthspecific towns of Corunna (A Coruña), Ourense, Santiago de Compostela and Vigo. This chapter goes one step further by considering synthetic indices that highlight risk, vulnerability Both a metropolitan and danger in even smaller spatial units, such as census sectionsa municipal perspective is taken for Barcelona.

The key map shows the five areas used to assess the impact of the pandemic on health in urban areas, i.e. Galicia, the cities of Saragossa (Zaragoza) and Málaga, Barcelona and its metropolitan area, and the city of Madrid together with the Region of Madrid (Comunidad de Madrid). Maps for the cities of Saragossa (Zaragoza) and Málaga are limited to the municipal boundaries. In Galicia, an overview on the whole region is first taken whilst the text delves afterwards into the specific towns of Corunna (A Coruña), Ourense, Santiago de Compostela and Vigo. Both a metropolitan and a municipal perspective is taken for Barcelona, including the surrounding towns, boroughs and neighbourhoods. A two-pronged approach is also used for Madrid, looking at both the boroughs in the city and a more general framework: the Region of Madrid (Comunidad de Madrid). In addition, a synthetic index of for social vulnerability was developed for the cities of Barcelona and Madrid, using the census section as the spatial unit of analysis.

1. Population The spatial distribution of the population influenced the incidence of the pandemic. Scattered population and reduced physical contact worked to contain the spread of the virus.

2. Poverty and difficult social situations vulnerability caused more infections and resulted in more deaths.

3. One of the factors that affected influenced the impact of the pandemic was the lower capacity to reduce mobility amongst social groups that use public transport. This links to the type of work undertaken by these people as well as their more fragile financial position.

<div style{{ANENavegacionHermanos |anterior="text-align:left">[[Overview]] |siguiente=[[Internal territorial governance]]}} 

</div> {{ANENavegacionHermanos |anterior=[[Overviewes:Comportamientos_espaciales_diferenciados]] |siguiente=[[Internal territorial governance]]}} [[CategoríaCategory:Servicios y equipamientos socialesSocial facilities]][[CategoríaCategory:PoblaciónPopulation, poblamiento y sociedadhuman settlements and society]]