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This metadata refer to the vector dataset presenting, for NUTS3 regions, the average travel time to the nearest hospital in 2020. The data has been developed by Eurostat to measure how easily basic services can be reached by the resident population, based on spatial analyses of the location of healthcare facilities, combined with the road network. Healthcare facility were computed (note this could have been across a national border).
This data set presents assessment of health risk due to exposure to three main pollutants (PM2.5, NO2 and O3-SOMO35) at NUTS3 and Country levels. In addition, average and population weighted average concentration values are available in the data set for PM10, PM2.5, NO2 and O3 (SOMO35). The calculations are made for years 2005 to 2020. The concentrations data are taken from the ETC/ATNI interpolated maps (ETC/ATNI Eionet Reports 1/2020/ and 1/2021 and references therein). The methodology is as described in ETC/ATNI Eionet Report 10/2021, aggregating at country level.
This entry points at data related to the "Exposure of vulnerable groups and social infrastructure to climate-related risks" viewer on the European Climate and Health Observatory platform. The viewer analyses the exposure of vulnerable populations (the elderly and unemployed) and social infrastructure (schools and hospitals) to the risk of flooding. It also presents the exposure of social infrastructure to the Urban Heat Island effect for 100 European cities.
Heavy metals accumulate in ecosystems and damage human health. In line with the EU’s commitments under the Air Convention, specific legislation led to reductions in emissions of heavy metals across ...
For references, please go to https://www.eea.europa.eu/themes/human/dc or scan the QR code.
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