A geographically weighted regression approach to investigate air pollution effect on lung cancer

Detalhes bibliográficos
Autor(a) principal: Cardoso, Diogo
Data de Publicação: 2019
Outros Autores: Painho, Marco, Roquette, Rita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.4081/gh.2019.701
Resumo: Cardoso, D., Painho, M., & Roquette, R. (2019). A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal. Geospatial Health, 14(1), 35-45. [701]. https://doi.org/10.4081/gh.2019.701
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spelling A geographically weighted regression approach to investigate air pollution effect on lung cancerA case study in PortugalAir pollutionGeographically weighted regressionLung cancer mortalityPM10PortugalMedicine (miscellaneous)Health(social science)Geography, Planning and DevelopmentHealth PolicySDG 3 - Good Health and Well-beingSDG 11 - Sustainable Cities and CommunitiesCardoso, D., Painho, M., & Roquette, R. (2019). A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal. Geospatial Health, 14(1), 35-45. [701]. https://doi.org/10.4081/gh.2019.701The risk of developing lung cancer might to a certain extent be attributed to tobacco. Nevertheless, the role of air pollution, both form urban and industrial sources, needs to be addressed. Numerous studies have concluded that long-term exposure to air pollution is an important environmental risk factor for lung cancer mortality. Still, there are only a few studies on air pollution and lung cancer in Portugal and none addressing its spatial dimension. The goal was to determine the influence of air pollution and urbanization rate on lung cancer mortality. A geographically weighted regression (GWR) model was performed to evaluate the relation between particle matter10 (PM10) emissions and lung cancer mortality relative risk (RR) for males and females in Portugal between 2007 and 2011. RR was computed with the BYM model. For a more in-depth analysis, the urbanization rate and the percentage of industrial area in each municipality were added. GWR efforts led to identifying three variables that were statistically significant in explaining lung cancer relative risk mortality, PM10 emissions, urbanization rate and the percentage of industrial area with an adjusted R2 of 0,63 for men and 0,59 for women. A small set of 8 municipalities with high correlation values was also identified (local R2 above 0,70). Stronger relationships were found in the north-western part of mainland Portugal. The local R2 tends to be higher when the emissions of PM10 are joined by urbanization and industrial areas. However, when assessing the industrial areas alone, it was noted that its impact was lower overall. As one of the first communications on this subject in Portugal, we have identified municipalities where possible impacts of air pollution on lung cancer mortality RR are higher thereby highlighting the role of geography and spatial analysis in explaining the associations between a disease and its determinants.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNCardoso, DiogoPainho, MarcoRoquette, Rita2019-06-19T03:29:53Z2019-05-132019-05-13T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11application/pdfhttps://doi.org/10.4081/gh.2019.701eng1827-1987PURE: 13784615http://www.scopus.com/inward/record.url?scp=85066851005&partnerID=8YFLogxKhttps://doi.org/10.4081/gh.2019.701info: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:RCAAP2024-03-11T04:33:53Zoai:run.unl.pt:10362/72993Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:17.293512Repositório 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 A geographically weighted regression approach to investigate air pollution effect on lung cancer
A case study in Portugal
title A geographically weighted regression approach to investigate air pollution effect on lung cancer
spellingShingle A geographically weighted regression approach to investigate air pollution effect on lung cancer
Cardoso, Diogo
Air pollution
Geographically weighted regression
Lung cancer mortality
PM10
Portugal
Medicine (miscellaneous)
Health(social science)
Geography, Planning and Development
Health Policy
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
title_short A geographically weighted regression approach to investigate air pollution effect on lung cancer
title_full A geographically weighted regression approach to investigate air pollution effect on lung cancer
title_fullStr A geographically weighted regression approach to investigate air pollution effect on lung cancer
title_full_unstemmed A geographically weighted regression approach to investigate air pollution effect on lung cancer
title_sort A geographically weighted regression approach to investigate air pollution effect on lung cancer
author Cardoso, Diogo
author_facet Cardoso, Diogo
Painho, Marco
Roquette, Rita
author_role author
author2 Painho, Marco
Roquette, Rita
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Cardoso, Diogo
Painho, Marco
Roquette, Rita
dc.subject.por.fl_str_mv Air pollution
Geographically weighted regression
Lung cancer mortality
PM10
Portugal
Medicine (miscellaneous)
Health(social science)
Geography, Planning and Development
Health Policy
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
topic Air pollution
Geographically weighted regression
Lung cancer mortality
PM10
Portugal
Medicine (miscellaneous)
Health(social science)
Geography, Planning and Development
Health Policy
SDG 3 - Good Health and Well-being
SDG 11 - Sustainable Cities and Communities
description Cardoso, D., Painho, M., & Roquette, R. (2019). A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal. Geospatial Health, 14(1), 35-45. [701]. https://doi.org/10.4081/gh.2019.701
publishDate 2019
dc.date.none.fl_str_mv 2019-06-19T03:29:53Z
2019-05-13
2019-05-13T00:00:00Z
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://doi.org/10.4081/gh.2019.701
url https://doi.org/10.4081/gh.2019.701
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1827-1987
PURE: 13784615
http://www.scopus.com/inward/record.url?scp=85066851005&partnerID=8YFLogxK
https://doi.org/10.4081/gh.2019.701
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11
application/pdf
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
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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
repository.mail.fl_str_mv
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