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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Reihe/Periodikum: | Lakerveld , J , Wagtendonk , A , Vaartjes , I , Karssenberg , D , GECCO Consortium , Koster , A & Stehouwer , C 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 , no. 1 , 49 . https://doi.org/10.1186/s12942-020-00235-z |
Schlagwörter: | Exposome / Exposure / Upstream determinants / Big data / Environment / Cohorts / Non-communicable disease / Prevention / Data science / AIR-POLLUTION / ASSOCIATIONS / REGRESSION / DISEASE / GREEN |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26821124 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://cris.maastrichtuniversity.nl/en/publications/27de5c8c-4ffa-498e-9a2e-fc011cfa870d |