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This study was supported by FEDER through the Operational Programme Competitiveness and Internationalization and national funding from the Foundation for Science and Technology – FCT (Portuguese Ministry of Science, Technology and Higher Education) under the Unidade de Investigação em Epidemiologia - Instituto de Saúde Pública da Universidade do Porto (EPIUnit) (POCI-01-0145-FEDER-006862; Ref. UID/DTP/04750/2013). This study was also funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by national funding from the Foundation for Science and Technology (FCT) under the scope of the project PTDC/GES-AMB/30193/2017 (POCI-01-0145-FEDER-030193, 02/SAICT/2017 - 30193). The research leading to these results has received funding from the European Community's Horizon 2020 programme under grant agreement no 633666 – the Lifepath project.
The EDI-PT was produced for the smallest area unit possible (n = 18084 census block groups, mean/area = 584 inhabitants) and resulted from the weighted sum of the eight selected variables. It was then categorized into quintiles (Q1-least deprived to Q5-most deprived). Publication: Ribeiro AI, Launay L, Guillaume E, Launoy G, Barros H (2018) The Portuguese version of the European Deprivation Index: Development and association with all-cause mortality. PLOS ONE 13(12): e0208320. https://doi.org/10.1371/journal.pone.0208320
HUG project, public health, socioeconomic factors, epidemiology, neighbourhood socioeconomic deprivation, geography, socio-spatial inequalities
HUG project, public health, socioeconomic factors, epidemiology, neighbourhood socioeconomic deprivation, geography, socio-spatial inequalities
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