The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)

Detalhes bibliográficos
Autor(a) principal: Roquette, Rita
Data de Publicação: 2018
Outros Autores: Nunes, Baltazar, Painho, Marco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1186/s12963-018-0164-6
Resumo: Roquette, R., Nunes, B., & Painho, M. (2018). The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013). Population Health Metrics, 16(1), [6]. DOI: 10.1186/s12963-018-0164-6
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spelling The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)BYMCancer mortalityPortugalSMRSpatial aggregation levelEpidemiologyPublic Health, Environmental and Occupational HealthSDG 3 - Good Health and Well-beingRoquette, R., Nunes, B., & Painho, M. (2018). The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013). Population Health Metrics, 16(1), [6]. DOI: 10.1186/s12963-018-0164-6Background: Knowledge regarding the geographical distribution of diseases is essential in public health in order to define strategies to improve the health of populations and quality of life. The present study aims to establish a methodology to choose a suitable geographic aggregation level of data and an appropriated method which allow us to analyze disease spatial patterns in mainland Portugal, avoiding the "small numbers problem." Malignant cancer mortality data for 2009-2013 was used as a case study. Methods: To achieve our aims, we used official data regarding the mortality by all malignant cancer, between 2009 and 2013, and the mainland Portuguese resident population in 2011. Three different spatial aggregation levels were applied: Nomenclature of Territorial Units for Statistics, level III (28 areas), municipalities (278 areas), and parishes (4050 areas). Standardized Mortality Ratio (SMR) and relative risk (RR) were computed with Besag, York and Mollié model (BYM) for the evaluation of geographic patterns of mortality data. We also estimated Global Moran's I, Local Moran's I, and posterior probability (PP) for the spatial cluster analysis. Results: Our results show that the occurrence of lower and higher extreme values of the standardized mortality ratio tend to increase with the decrease of data spatial aggregation. In addition, the number of local clusters is higher at small spatial aggregation levels, although the area of each cluster is generally smaller. Regarding global clustering, data forms clusters at all considered levels. Relative risk (RR) computed by Besag, York and Mollié model, in turn, also shows different results at the municipalities and parishes levels. However, the difference is smaller than the difference obtained by SMR computation. This statement is supported by the coefficient variation values. Conclusions: Our findings show that the choice of spatial data aggregation level has high importance in the research results, as different aggregation levels can lead to distinct results. In terms of the case study, we conclude that for the period of 2009-2013, cancer mortality in mainland Portugal formed clusters. The most suitable applicable spatial scale and method seemed to be at the municipalities level and Besag, York and Mollié model, respectively. However, further studies should be conducted in order to provide greater support to these results.NOVA Information Management School (NOVA IMS)Escola Nacional de Saúde Pública (ENSP)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNRoquette, RitaNunes, BaltazarPainho, Marco2018-04-09T22:14:56Z2018-03-272018-03-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1186/s12963-018-0164-6eng1478-7954PURE: 3871013http://www.scopus.com/inward/record.url?scp=85044511131&partnerID=8YFLogxKhttps://doi.org/10.1186/s12963-018-0164-6info: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:RCAAP2024-03-11T04:18:44Zoai:run.unl.pt:10362/34196Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:07.932704Repositório 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 The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
title The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
spellingShingle The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
Roquette, Rita
BYM
Cancer mortality
Portugal
SMR
Spatial aggregation level
Epidemiology
Public Health, Environmental and Occupational Health
SDG 3 - Good Health and Well-being
title_short The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
title_full The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
title_fullStr The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
title_full_unstemmed The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
title_sort The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013)
author Roquette, Rita
author_facet Roquette, Rita
Nunes, Baltazar
Painho, Marco
author_role author
author2 Nunes, Baltazar
Painho, Marco
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Escola Nacional de Saúde Pública (ENSP)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Roquette, Rita
Nunes, Baltazar
Painho, Marco
dc.subject.por.fl_str_mv BYM
Cancer mortality
Portugal
SMR
Spatial aggregation level
Epidemiology
Public Health, Environmental and Occupational Health
SDG 3 - Good Health and Well-being
topic BYM
Cancer mortality
Portugal
SMR
Spatial aggregation level
Epidemiology
Public Health, Environmental and Occupational Health
SDG 3 - Good Health and Well-being
description Roquette, R., Nunes, B., & Painho, M. (2018). The relevance of spatial aggregation level and of applied methods in the analysis of geographical distribution of cancer mortality in mainland Portugal (2009-2013). Population Health Metrics, 16(1), [6]. DOI: 10.1186/s12963-018-0164-6
publishDate 2018
dc.date.none.fl_str_mv 2018-04-09T22:14:56Z
2018-03-27
2018-03-27T00:00:00Z
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/10.1186/s12963-018-0164-6
url https://doi.org/10.1186/s12963-018-0164-6
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1478-7954
PURE: 3871013
http://www.scopus.com/inward/record.url?scp=85044511131&partnerID=8YFLogxK
https://doi.org/10.1186/s12963-018-0164-6
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.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
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