Georeferenced data in epidemiologic research

Detalhes bibliográficos
Autor(a) principal: Werneck,Guilherme Loureiro
Data de Publicação: 2008
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência & Saúde Coletiva (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232008000600010
Resumo: This paper reviews some conceptual and practical issues regarding the application of georeferenced data in epidemiologic research. Starting with the disease mapping tradition of geographical medicine, topics such as types of georeferenced data, implications for data analysis, spatial autocorrelation and main analytical approaches are heuristically discussed, relying on examples from the epidemiologic literature, most of them concerning mapping disease distribution, detection of disease spatial clustering, evaluation of exposure in environmental health investigation and ecological correlation studies. As for concluding remarks, special topics that deserve further development, including the misuses of the concept of space in epidemiologic research, issues related to data quality and confidentiality, the role of epidemiologic designs for spatial research, sensitivity analysis and spatiotemporal modeling, are presented.
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spelling Georeferenced data in epidemiologic researchEpidemiologyMedical geographyEpidemiologic methodsSmall-area analysisEcological studiesClusteringThis paper reviews some conceptual and practical issues regarding the application of georeferenced data in epidemiologic research. Starting with the disease mapping tradition of geographical medicine, topics such as types of georeferenced data, implications for data analysis, spatial autocorrelation and main analytical approaches are heuristically discussed, relying on examples from the epidemiologic literature, most of them concerning mapping disease distribution, detection of disease spatial clustering, evaluation of exposure in environmental health investigation and ecological correlation studies. As for concluding remarks, special topics that deserve further development, including the misuses of the concept of space in epidemiologic research, issues related to data quality and confidentiality, the role of epidemiologic designs for spatial research, sensitivity analysis and spatiotemporal modeling, are presented.ABRASCO - Associação Brasileira de Saúde Coletiva2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232008000600010Ciência & Saúde Coletiva v.13 n.6 2008reponame:Ciência & Saúde Coletiva (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/S1413-81232008000600010info:eu-repo/semantics/openAccessWerneck,Guilherme Loureiroeng2008-09-30T00:00:00Zoai:scielo:S1413-81232008000600010Revistahttp://www.cienciaesaudecoletiva.com.brhttps://old.scielo.br/oai/scielo-oai.php||cienciasaudecoletiva@fiocruz.br1678-45611413-8123opendoar:2008-09-30T00:00Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Georeferenced data in epidemiologic research
title Georeferenced data in epidemiologic research
spellingShingle Georeferenced data in epidemiologic research
Werneck,Guilherme Loureiro
Epidemiology
Medical geography
Epidemiologic methods
Small-area analysis
Ecological studies
Clustering
title_short Georeferenced data in epidemiologic research
title_full Georeferenced data in epidemiologic research
title_fullStr Georeferenced data in epidemiologic research
title_full_unstemmed Georeferenced data in epidemiologic research
title_sort Georeferenced data in epidemiologic research
author Werneck,Guilherme Loureiro
author_facet Werneck,Guilherme Loureiro
author_role author
dc.contributor.author.fl_str_mv Werneck,Guilherme Loureiro
dc.subject.por.fl_str_mv Epidemiology
Medical geography
Epidemiologic methods
Small-area analysis
Ecological studies
Clustering
topic Epidemiology
Medical geography
Epidemiologic methods
Small-area analysis
Ecological studies
Clustering
description This paper reviews some conceptual and practical issues regarding the application of georeferenced data in epidemiologic research. Starting with the disease mapping tradition of geographical medicine, topics such as types of georeferenced data, implications for data analysis, spatial autocorrelation and main analytical approaches are heuristically discussed, relying on examples from the epidemiologic literature, most of them concerning mapping disease distribution, detection of disease spatial clustering, evaluation of exposure in environmental health investigation and ecological correlation studies. As for concluding remarks, special topics that deserve further development, including the misuses of the concept of space in epidemiologic research, issues related to data quality and confidentiality, the role of epidemiologic designs for spatial research, sensitivity analysis and spatiotemporal modeling, are presented.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-81232008000600010
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1413-81232008000600010
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv ABRASCO - Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv ABRASCO - Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Ciência & Saúde Coletiva v.13 n.6 2008
reponame:Ciência & Saúde Coletiva (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
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instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
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reponame_str Ciência & Saúde Coletiva (Online)
collection Ciência & Saúde Coletiva (Online)
repository.name.fl_str_mv Ciência & Saúde Coletiva (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||cienciasaudecoletiva@fiocruz.br
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