@article{27de5c8c4ffa498e9a2efc011cfa870d,
title = "Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands",
keywords = "Exposome, Exposure, Upstream determinants, Big data, Environment, Cohorts, Non-communicable disease, Prevention, Data science, AIR-POLLUTION, ASSOCIATIONS, EXPOSURE, ENVIRONMENT, REGRESSION, DISEASE, GREEN",
author = "Jeroen Lakerveld and Alfred Wagtendonk and Ilonca Vaartjes and Derek Karssenberg and {GECCO Consortium} and Annemarie Koster and Coen Stehouwer",
year = "2020",
month = nov,
day = "13",
doi = "10.1186/s12942-020-00235-z",
language = "English",
volume = "19",
journal = "International Journal of Health Geographics",
issn = "1476-072X",
publisher = "BioMed Central",
number = "1",
}