This dataset presents the burden of disease from air pollution due to exposure to three main pollutants (PM2.5, NO2 and O3) at country, different NUTS and city levels. The calculations are made from year 2005 and are updated every year (YY) adding the results for year YY-2. The concentrations data are taken from the ETC/HE interpolated maps (EEA geospatial data catalogue: https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/82700fbd-2953-467b-be0a-78a520c3a7ef). The methodology is as described in several ETC and EEA Reports, available at "ETC HE Reports on the environmental burden of disease attributable to air pollution in Europe - Eionet Portal" (https://www.eionet.europa.eu/etcs/etc-he/products/etc-he-reports-on-the-environmental-burden-of-disease-attributable-to-air-pollution-in-europe)
This series refers to datasets related to the presence of people; livelihoods; species or ecosystems; environmental functions, services, and resources; infrastructure; or economic, social, or cultural assets in places and settings that could be adversely affected by climate hazards, including flooding, wildfires and urban heat island effects. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/
This series refers to datasets related to the potential occurrence of a climate-induced physical event or trend that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems and environmental resources. It includes datasets on flooding, drought, urban heat island and heatwaves, extreme temperatures and precipitations, fire danger as well as climate suitability for vectors of infectious diseases. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/
Im Rahmen der an der Universitaet Bielefeld mit dem WS 96/97 beginnenden Gesundheitsberatung fuer Studierende wird vom Gesundheitslabor eine umweltorientierte Gesundheitsberatung angeboten. Die Beratung wird in Bezug auf umweltrelevante Erkrankungen mit dem Schwerpunkt indoor-Gifte evaluiert werden. In Hinsicht auf den durch indoor-Gifte vermutlich ausgeloesten Formenkreis von Erkrankungen, zu denen das Sick-building-Syndrom und das Multiple-chemical-sensitivity-Syndrom gerechnet werden, soll eine Population von betroffenen Studenten biomedizinisch (Spirometrie, Biomass-Index) und immunologisch-physiologisch (weisses Blutbild, Leukozytensubpopulation, Cotininbestimmung, Monooxidase-Aktivitaet, Stressfaktoren) sowie mit Hilfe des Biomonitorings im Vergleich zu einer Kontrollgruppe untersucht werden. Das Spektrum der moeglichen Ausloeserfaktoren dieser Erkrankungen soll auf sozio-oekonomische und psychische Faktoren unter Verwendung eines Fragebogens erweitert werden. Ziel des Projektes ist es, weitere Erkenntnisse ueber die Ursachen des Formenkreises Sick-building-Syndrom/Multiple-chemical-sensitivity-Syndrom zu gewinnen.
This raster dataset provides the modelling of the climate suitability index values (0-100%) for tiger mosquito (Aedes albopictus) for 100 European cities for the years 2008-2009, with a resolution of 100 m. Aedes Albopictus has become a common occurrence in Southern Europe and transmits diseases such as Zika, dengue and chikungunya. The climatic suitability for tiger mosquito depends on factors such as sufficient amounts of rainfall, high summer temperatures and mild winters. Climate change is anticipated to further facilitate the spread of tiger mosquitoes across Europe by changing temperature and precipitation patterns, thereby increasing the suitable habitat. In the framework of the Copernicus Climate Change Service (C3S) SIS European Health, VITO has provided to the Climate Data Store 100m resolution hourly temperature data for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). From this dataset, this climate suitability dataset has been generated based on annual precipitation and the average temperature in January and during the summer period (months June, July and August) for the years 2008-2009, following the methodology by European Centre for Disease Prevention and Control (ECDC, 2009). The 100 European cities for the urban simulations were selected based on user requirements within the health community.
The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas all under the terms of the Environmental Noise Directive (END). Data covers the EEA32 member countries and the United Kingdom (excluding Turkey for the third round of noise mapping in 2017).
Im Institut fuer Medizin (IME) erfolgt die Untersuchung des Verhaltens von Spurenelementkonzentrationen in menschlichen Koerperfluessigkeiten in Antwort auf unterschiedliche Belastungen (koerperliche Arbeit, Ernaehrung, Medikamente) unter besonderer Beruecksichtigung spezieller Organleistungen wie z.B. Bauchspeicheldruese, zur Verbesserung der klinischen Diagnostik. - Messung der genetisch bedingten und umweltbedingten Spurenelementkonzentrationsaenderungen in Saeugetierorganen und Korrelation zu verschiedenen Erkrankungen.
The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September
This metadata refers 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. (note this could have been across a national border). The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.
This metadata refers to the vector data covering 100 cities in Europe in 2021, for which Urban Heat Island modelling is available, the percentage of educational facilities that are located within the extent of urban heat island of 2 degrees Celsius or more than the regional average. The Urban Heat Island intensity exacerbates high temperatures in cities and thus may pose additional risks to human thermal comfort and health. Urban heat island (UHI) is an urban or metropolitan area that is significantly warmer than its surrounding rural areas due to human activities. The temperature difference is usually larger at night than during the day, and is most apparent when winds are weak. UHI is most noticeable during the summer and winter. The main cause of the UHI effect is from the modification of land surfaces. The data is included in the European Climate and Health Observatory: https://climate-adapt.eea.europa.eu/observatory. The European Climate and Health Observatory platform provides easy access to a wide range of relevant publications, tools, websites and other resources related to climate change and human health.
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