Deep phenotyping meets big data:the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands
Environmental exposures are increasingly investigated as possible drivers of health behaviours and disease outcomes. So-called exposome studies that aim to identify and better understand the effects of exposures on behaviours and disease risk across the life course require high-quality environmental exposure data. The Netherlands has a great variety of environmental data available, including high spatial and often temporal resolution information on urban infrastructure, physico-chemical exposures, presence and availability of community services, and others. Until recently, these environmental... Mehr ...
Dokumenttyp: | Artikel |
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Erscheinungsdatum: | 2020 |
Reihe/Periodikum: | GECCO Consortium 2020 , ' Deep phenotyping meets big data : the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands ' , International Journal of Health Geographics , vol. 19 , 49 , pp. 1-16 . https://doi.org/10.1186/s12942-020-00235-z |
Schlagwörter: | Big data / Cohorts / Data science / Environment / Exposome / Exposure / Non-communicable disease / Prevention / Upstream determinants / /dk/atira/pure/sustainabledevelopmentgoals/sustainable_cities_and_communities / name=SDG 11 - Sustainable Cities and Communities |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26843949 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/56b70176-3965-41b0-b1d6-c0a2f8b421d9 |