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{{ANEEtiqueta|palabrasclave=pandemic, covid19, COVID-19, absolute population, COVID-19 cases, COVID-19 hotspots, COVID-19 frequenting rate, riesgo de contagio por risk of COVID-19infection, vulnerabilidad al contagio por vulnerability to COVID-19, social vulnerability|descripcion=Analysis of different spatial behaviours through maps and tables from the National Atlas of 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

| 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">Source: Continuous Register Statistics 2020. National Statistics Institute. List of municipalities and over-municipal territories analysed in this chapter. They are listed in the order in which they appear on this publication.</small></div>

The impact of the first wave of the COVID-19 pandemic on health in Spain was uneven from a spatial point of view. Accordingly, whilst the province was the territorial unit of analysis and mapping in preceding chapters, this excerpt looks through a more detailed lens at regions, metropolitan areas, municipalities, boroughs, neighbourhoods and census sections.

[[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-la-Unionareas-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-encomportamientos-laespaciales-Union-Europea_2019_mapa_18193_spadiferenciados_2020_mapa_18050_spa.zip DatosMore information].]]The first image to emerge is the decisive importance of human factors on the incidence of the pandemic in cities and metropolitan urban areas. Mobility, income, unemployment, percentage of the population living below the poverty line, type of housing and spatial distribution of nursing homes are just some of the factors that must 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 vulnerability and danger in even smaller spatial units, such as census sections.

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.