Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands
Abstract 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 envir... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2020 |
Reihe/Periodikum: | International Journal of Health Geographics, Vol 19, Iss 1, Pp 1-16 (2020) |
Verlag/Hrsg.: |
BMC
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Schlagwörter: | Exposome / Exposure / Upstream determinants / Big data / Environment / Cohorts / Computer applications to medicine. Medical informatics / R858-859.7 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26804333 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1186/s12942-020-00235-z |