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

Detalhes bibliográficos
Autor(a) principal: Tagliaferro, S
Data de Publicação: 2024
Outros Autores: 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, Snoj Tratnik, JS, Horvat, M, Kocman, D, Spiric, Z, Zickella, J, Fasola, S, La Grutta, S, Malizia, V, Montalbano, L, EarlyFOOD|, HEALS EXHES, Baldacci, S, Annesi-Maesano, I
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/161159
Resumo: 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), Łódź (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 µg/m3), Łódź for PM2.5 (25 µg/m3), Porto for NO2 (62 µg/m3) and Rijeka for O3 (92 µg/m3). Thessaloniki had the highest grey space (98%) and Łódź 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 µg/L), boron in Celje (24 mg/L) and lead in Paris (46.7 µg/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.
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spelling Assessing external exposome by implementing an Environmental Data Management System using Open DataDue 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), Łódź (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 µg/m3), Łódź for PM2.5 (25 µg/m3), Porto for NO2 (62 µg/m3) and Rijeka for O3 (92 µg/m3). Thessaloniki had the highest grey space (98%) and Łódź 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 µg/L), boron in Celje (24 mg/L) and lead in Paris (46.7 µg/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.Nature Research20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/161159eng2045-232210.1038/s41598-024-62924-0Tagliaferro, SMaio, SPirona, FStanisci, ISarno, GSilvi, PKermenidou, MPapaioannou, NPerchard, RPrpic, IPolanska, KJerzynska, JRamos, ERovira, JBelmonte, JSnoj Tratnik, JSHorvat, MKocman, DSpiric, ZZickella, JFasola, SLa Grutta, SMalizia, VMontalbano, LEarlyFOOD|HEALS EXHESBaldacci, SAnnesi-Maesano, Iinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-09-27T09:03:23Zoai:repositorio-aberto.up.pt:10216/161159Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-27T09:03:23Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing external exposome by implementing an Environmental Data Management System using Open Data
title Assessing external exposome by implementing an Environmental Data Management System using Open Data
spellingShingle Assessing external exposome by implementing an Environmental Data Management System using Open Data
Tagliaferro, S
title_short Assessing external exposome by implementing an Environmental Data Management System using Open Data
title_full Assessing external exposome by implementing an Environmental Data Management System using Open Data
title_fullStr Assessing external exposome by implementing an Environmental Data Management System using Open Data
title_full_unstemmed Assessing external exposome by implementing an Environmental Data Management System using Open Data
title_sort Assessing external exposome by implementing an Environmental Data Management System using Open Data
author Tagliaferro, S
author_facet 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
Snoj Tratnik, JS
Horvat, M
Kocman, D
Spiric, Z
Zickella, J
Fasola, S
La Grutta, S
Malizia, V
Montalbano, L
EarlyFOOD|
HEALS EXHES
Baldacci, S
Annesi-Maesano, I
author_role author
author2 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
Snoj Tratnik, JS
Horvat, M
Kocman, D
Spiric, Z
Zickella, J
Fasola, S
La Grutta, S
Malizia, V
Montalbano, L
EarlyFOOD|
HEALS EXHES
Baldacci, S
Annesi-Maesano, I
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv 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
Snoj Tratnik, JS
Horvat, M
Kocman, D
Spiric, Z
Zickella, J
Fasola, S
La Grutta, S
Malizia, V
Montalbano, L
EarlyFOOD|
HEALS EXHES
Baldacci, S
Annesi-Maesano, I
description 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), Łódź (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 µg/m3), Łódź for PM2.5 (25 µg/m3), Porto for NO2 (62 µg/m3) and Rijeka for O3 (92 µg/m3). Thessaloniki had the highest grey space (98%) and Łódź 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 µg/L), boron in Celje (24 mg/L) and lead in Paris (46.7 µg/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.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/161159
url https://hdl.handle.net/10216/161159
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2045-2322
10.1038/s41598-024-62924-0
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Research
publisher.none.fl_str_mv Nature Research
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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