Disease mapping models for data with weak spatial dependence or spatial discontinuities

Detalhes bibliográficos
Autor(a) principal: Baptista, Helena
Data de Publicação: 2020
Outros Autores: Congdon, Peter, Mendes, Jorge M., Rodrigues, Ana M., Canhão, Helena, Dias, Sara Simões
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/5691
Resumo: Recent advances in the spatial epidemiology literature have extended traditional approaches by including determinant disease factors that allow for non-local smoothing and/or non-spatial smoothing. In this article, two of those approaches are compared and are further extended to areas of high interest from the public health perspective. These are a conditionally specified Gaussian random field model, using a similaritybased non-spatial weight matrix to facilitate non-spatial smoothing in Bayesian disease mapping; and a spatially adaptive conditional autoregressive prior model.
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spelling Disease mapping models for data with weak spatial dependence or spatial discontinuitiesBayesian modellingBayesian modellingLimiting health problemsSpatial epidemiologySimilarity-based and adaptive modelsRecent advances in the spatial epidemiology literature have extended traditional approaches by including determinant disease factors that allow for non-local smoothing and/or non-spatial smoothing. In this article, two of those approaches are compared and are further extended to areas of high interest from the public health perspective. These are a conditionally specified Gaussian random field model, using a similaritybased non-spatial weight matrix to facilitate non-spatial smoothing in Bayesian disease mapping; and a spatially adaptive conditional autoregressive prior model.IC-OnlineBaptista, HelenaCongdon, PeterMendes, Jorge M.Rodrigues, Ana M.Canhão, HelenaDias, Sara Simões2021-04-22T09:41:56Z2020-11-112020-11-11T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/5691eng10.1515/em-2019-0025info: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:RCAAP2024-01-17T15:51:36Zoai:iconline.ipleiria.pt:10400.8/5691Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:49:06.985088Repositório 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 Disease mapping models for data with weak spatial dependence or spatial discontinuities
title Disease mapping models for data with weak spatial dependence or spatial discontinuities
spellingShingle Disease mapping models for data with weak spatial dependence or spatial discontinuities
Baptista, Helena
Bayesian modelling
Bayesian modelling
Limiting health problems
Spatial epidemiology
Similarity-based and adaptive models
title_short Disease mapping models for data with weak spatial dependence or spatial discontinuities
title_full Disease mapping models for data with weak spatial dependence or spatial discontinuities
title_fullStr Disease mapping models for data with weak spatial dependence or spatial discontinuities
title_full_unstemmed Disease mapping models for data with weak spatial dependence or spatial discontinuities
title_sort Disease mapping models for data with weak spatial dependence or spatial discontinuities
author Baptista, Helena
author_facet Baptista, Helena
Congdon, Peter
Mendes, Jorge M.
Rodrigues, Ana M.
Canhão, Helena
Dias, Sara Simões
author_role author
author2 Congdon, Peter
Mendes, Jorge M.
Rodrigues, Ana M.
Canhão, Helena
Dias, Sara Simões
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Baptista, Helena
Congdon, Peter
Mendes, Jorge M.
Rodrigues, Ana M.
Canhão, Helena
Dias, Sara Simões
dc.subject.por.fl_str_mv Bayesian modelling
Bayesian modelling
Limiting health problems
Spatial epidemiology
Similarity-based and adaptive models
topic Bayesian modelling
Bayesian modelling
Limiting health problems
Spatial epidemiology
Similarity-based and adaptive models
description Recent advances in the spatial epidemiology literature have extended traditional approaches by including determinant disease factors that allow for non-local smoothing and/or non-spatial smoothing. In this article, two of those approaches are compared and are further extended to areas of high interest from the public health perspective. These are a conditionally specified Gaussian random field model, using a similaritybased non-spatial weight matrix to facilitate non-spatial smoothing in Bayesian disease mapping; and a spatially adaptive conditional autoregressive prior model.
publishDate 2020
dc.date.none.fl_str_mv 2020-11-11
2020-11-11T00:00:00Z
2021-04-22T09:41:56Z
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 http://hdl.handle.net/10400.8/5691
url http://hdl.handle.net/10400.8/5691
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1515/em-2019-0025
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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