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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 metropolitan areas, municipalities, boroughs, neighbourhoods and census sections.
[[File:Logo Monografía.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_Densidad-de-poblacion-en-la-Union-Europea_2019_mapa_18193_spa.pdf PDF]. [//centrodedescargas.cnig.es/CentroDescargas/busquedaRedirigida.do?ruta=PUBLICACION_CNIG_DATOS_VARIOS/aneTematico/Europa_Densidad-de-poblacion-en-la-Union-Europea_2019_mapa_18193_spa.zip Datos].]]
The first image to emerge is the decisive importance of human factors on the incidence of the pandemic in cities and metropolitan 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 be taken into account when assessing the impact on health. This chapter goes one step further by considering synthetic indices that highlight risk, vulnerability and danger in even smaller spatial units, such as census sections.
