Spatial statistical methods in health

Detalhes bibliográficos
Autor(a) principal: Bailey, Trevor C.
Data de Publicação: 2001
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Cadernos de Saúde Pública
Texto Completo: https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534
Resumo: The study of the geographical distribution of disease incidence and its relationship to potential risk factors (referred to here as ''geographical epidemiology") has provided, and continues to provide, rich ground for the application and development of statistical methods and models. In recent years increasingly powerful and versatile statistical tools have been developed in this application area. This paper discusses the general classes of problem in geographical epidemiology and reviews the key statistical methods now being employed in each of the application areas identified. The paper does not attempt to exhaustively cover all possible methods and models, but extensive references are provided to further details and to additional approaches. The overall aim is to provide a picture of the "current state of the art" in the use of spatial statistical methods in epidemiological and public health research. Following the review of methods, the main software environments which are available to implement such methods are discussed. The paper concludes with some brief general reflections on the epidemiological and public health implications of the use of spatial statistical methods in health and on associated benefits and problems.
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spelling Spatial statistical methods in healthSpatial AnalysisSpatial StatisticsStatistical ModelsEpidemiologyThe study of the geographical distribution of disease incidence and its relationship to potential risk factors (referred to here as ''geographical epidemiology") has provided, and continues to provide, rich ground for the application and development of statistical methods and models. In recent years increasingly powerful and versatile statistical tools have been developed in this application area. This paper discusses the general classes of problem in geographical epidemiology and reviews the key statistical methods now being employed in each of the application areas identified. The paper does not attempt to exhaustively cover all possible methods and models, but extensive references are provided to further details and to additional approaches. The overall aim is to provide a picture of the "current state of the art" in the use of spatial statistical methods in epidemiological and public health research. Following the review of methods, the main software environments which are available to implement such methods are discussed. The paper concludes with some brief general reflections on the epidemiological and public health implications of the use of spatial statistical methods in health and on associated benefits and problems.O estudo da distribuição geográfica da incidência de doenças e da sua relação com fatores de risco potenciais (chamada aqui de "epidemiologia geográfica") vem constituindo um terreno fértil para a aplicação e desenvolvimento de métodos e modelos estatísticos. Nos últimos anos, foram desenvolvidas ferramentas cada vez mais poderosas e versáteis nesta área de aplicação. O artigo discute as classes gerais de problemas na epidemiologia geográfica e faz uma revisão dos principais métodos estatísticos utilizados atualmente em cada uma das áreas de aplicação identificadas. O artigo não procura cobrir exaustivamente todos os medos e modelos possíveis, mas fornece referências bibliográficas para outros detalhes e abordagens. O objetivo geral é dar um panorama do "estado da arte" no uso de métodos estatísticos espaciais na pesquisa em epidemiologia e saúde pública. Após a revisão metodológica, o autor discute os principais ambientes de software atualmente disponíveis para implementar tais métodos. O artigo conclui com algumas reflexões gerais sobre as implicações, para a epidemiologia e a saúde pública, do uso de métodos estatísticos espaciais em saúde, além dos benefícios e problemas associados.Reports in Public HealthCadernos de Saúde Pública2001-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlapplication/pdfhttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534Reports in Public Health; Vol. 17 No. 5 (2001): September/OctoberCadernos de Saúde Pública; v. 17 n. 5 (2001): Setembro/Outubro1678-44640102-311Xreponame:Cadernos de Saúde Públicainstname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZenghttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534/3056https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534/3057Bailey, Trevor C.info:eu-repo/semantics/openAccess2024-03-06T15:26:30Zoai:ojs.teste-cadernos.ensp.fiocruz.br:article/1534Revistahttps://cadernos.ensp.fiocruz.br/ojs/index.php/csphttps://cadernos.ensp.fiocruz.br/ojs/index.php/csp/oaicadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br1678-44640102-311Xopendoar:2024-03-06T13:01:48.821183Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)true
dc.title.none.fl_str_mv Spatial statistical methods in health
title Spatial statistical methods in health
spellingShingle Spatial statistical methods in health
Bailey, Trevor C.
Spatial Analysis
Spatial Statistics
Statistical Models
Epidemiology
title_short Spatial statistical methods in health
title_full Spatial statistical methods in health
title_fullStr Spatial statistical methods in health
title_full_unstemmed Spatial statistical methods in health
title_sort Spatial statistical methods in health
author Bailey, Trevor C.
author_facet Bailey, Trevor C.
author_role author
dc.contributor.author.fl_str_mv Bailey, Trevor C.
dc.subject.por.fl_str_mv Spatial Analysis
Spatial Statistics
Statistical Models
Epidemiology
topic Spatial Analysis
Spatial Statistics
Statistical Models
Epidemiology
description The study of the geographical distribution of disease incidence and its relationship to potential risk factors (referred to here as ''geographical epidemiology") has provided, and continues to provide, rich ground for the application and development of statistical methods and models. In recent years increasingly powerful and versatile statistical tools have been developed in this application area. This paper discusses the general classes of problem in geographical epidemiology and reviews the key statistical methods now being employed in each of the application areas identified. The paper does not attempt to exhaustively cover all possible methods and models, but extensive references are provided to further details and to additional approaches. The overall aim is to provide a picture of the "current state of the art" in the use of spatial statistical methods in epidemiological and public health research. Following the review of methods, the main software environments which are available to implement such methods are discussed. The paper concludes with some brief general reflections on the epidemiological and public health implications of the use of spatial statistical methods in health and on associated benefits and problems.
publishDate 2001
dc.date.none.fl_str_mv 2001-10-01
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dc.identifier.uri.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534
url https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534/3056
https://cadernos.ensp.fiocruz.br/ojs/index.php/csp/article/view/1534/3057
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dc.publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
publisher.none.fl_str_mv Reports in Public Health
Cadernos de Saúde Pública
dc.source.none.fl_str_mv Reports in Public Health; Vol. 17 No. 5 (2001): September/October
Cadernos de Saúde Pública; v. 17 n. 5 (2001): Setembro/Outubro
1678-4464
0102-311X
reponame:Cadernos de Saúde Pública
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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reponame_str Cadernos de Saúde Pública
collection Cadernos de Saúde Pública
repository.name.fl_str_mv Cadernos de Saúde Pública - Fundação Oswaldo Cruz (FIOCRUZ)
repository.mail.fl_str_mv cadernos@ensp.fiocruz.br||cadernos@ensp.fiocruz.br
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