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
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
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Link(s) : https://research.vu.nl/en/publications/56b70176-3965-41b0-b1d6-c0a2f8b421d9