Assessing external exposome by implementing an Environmental Data Management System using Open Data

Identifier:  imarina:9379089

Handle: https://hdl.handle.net/20.500.11797/imarina9379089

Authors:  Tagliaferro, S; Maio, S; Pirona, F; Stanisci, I; Sarno, G; Silvi, P; Kermenidou, M; Papaioannou, N; Perchard, R; Prpic, I; Polanska, K; Jerzynska, J; Ramos, E; Rovira, J; Belmonte, J; Tratnik, JSS; Horvat, M; Kocman, D; Spiric, Z; Zickella, J; Fasola, S; La Grutta, S; Malizia, V; Montalbano, L; Baldacci, S; Annesi-Maesano, I

Abstract:
Due to the increasing importance of exposome in environmental epidemiology, feasibility and usefulness of an Environmental Data Management System (EDMS) using Open Data was evaluated. The EDMS includes data from 10 European cities (Celje (Slovenia), & Lstrok;& oacute;d & zacute; (Poland), Manchester (UK), Palermo (Italy), Paris (France), Porto (Portugal), Regensburg (Germany), Reus (Spain), Rijeka (Croatia), Thessaloniki (Greece)) about external non-specific and specific exposome factors at the city or country level (2017-2020). Findings showed that the highest values of life expectancy were in Reus females (86 years) and Palermo males (81 years). UK had the highest obesity rate (28%), Croatia the highest prescribed drug consumption (62%), Greece and Portugal the highest smoking rates (37%, 42%) and daily alcohol consumption (21%), respectively. The most polluted cities were Thessaloniki for PM10 (38 mu g/m3), & Lstrok;& oacute;d & zacute; for PM2.5 (25 mu g/m3), Porto for NO2 (62 mu g/m3) and Rijeka for O3 (92 mu g/m3). Thessaloniki had the highest grey space (98%) and & Lstrok;& oacute;d & zacute; the highest cumulative amount of pollen (39,041 p/m3). The highest daily noise levels >= 55 dB was in Reus (81% to traffic) and Regensburg (21% to railway). In drinking water, arsenic had the highest value in Thessaloniki (6.4 mu g/L), boron in Celje (24 mg/L) and lead in Paris (46.7 mu g/L). Portugal and Greece showed the highest pesticide residues in food (7%). In conclusion, utilizing open-access databases enables the translation of research findings into actionable strategies for public health interventions.