Geographic weighted regression: applicability to epidemiological studies of leprosy
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/16379 |
Resumo: | Secretaria Municipal de Saúde de Duque de Caxias, Departamento de Vigilância em Saúde, Duque de Caxias, RJ, Brasil. |
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Duarte-Cunha, MônicaAlmeida, Andréa Sobral deCunha, Geraldo Marcelo daSantos, Reinaldo Souza dos2016-11-30T13:58:52Z2016-11-30T13:58:52Z2016DUARTE-CUNHA, Mônica et al. Geographic weighted regression: applicability to epidemiological studies of leprosy. Rev. Sociedade Brasileira de Medicina Tropical, v.49, n.1, p.74-82, 2016.0037-8682https://www.arca.fiocruz.br/handle/icict/1637910.1590/0037-8682-0307-2015engUniversidade Federal de Mato GrossoLepraEpidemiologiaAnálise espacialLeprosyEpidemiologySpatial analysisGWRLeprosyEpidemiologySpatial analysisGeographic weighted regression: applicability to epidemiological studies of leprosyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleSecretaria Municipal de Saúde de Duque de Caxias, Departamento de Vigilância em Saúde, Duque de Caxias, RJ, Brasil.Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Endemias Samuel Pessoa, Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Epidemiologia, Rio de Janeiro, RJ, Brazil.Fundação Oswaldo Cruz, Escola Nacional de Saúde Pública Sergio Arouca, Departamento de Endemias Samuel Pessoa, Rio de Janeiro, RJ, Brasil.INTRODUCTION: Geographic information systems (GIS) enable public health data to be analyzed in terms of geographical variability and the relationship between risk factors and diseases. This study discusses the application of the geographic weighted regression (GWR) model to health data to improve the understanding of spatially varying social and clinical factors that potentially impact leprosy prevalence. METHODS: This ecological study used data from leprosy case records from 1998-2006, aggregated by neighborhood in the Duque de Caxias municipality in the State of Rio de Janeiro, Brazil. In the GWR model, the associations between the log of the leprosy detection rate and social and clinical factors were analyzed. RESULTS: Maps of the estimated coefficients by neighborhood confirmed the heterogeneous spatial relationships between the leprosy detection rates and the predictors. The proportion of households with piped water was associated with higher detection rates, mainly in the northeast of the municipality. Indeterminate forms were strongly associated with higher detections rates in the south, where access to health services was more established. CONCLUSIONS: GWR proved a useful tool for epidemiological analysis of leprosy in a local area, such as Duque de Caxias. Epidemiological analysis using the maps of the GWR model offered the advantage of visualizing the problem in sub-regions and identifying any spatial dependence in the local study area.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txttext/plain1748https://www.arca.fiocruz.br/bitstream/icict/16379/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51ORIGINALGeographicWeighted.pdfapplication/pdf1578302https://www.arca.fiocruz.br/bitstream/icict/16379/2/GeographicWeighted.pdf7f0f320272bfb0f03e7fcb76a640a356MD52TEXTGeographicWeighted.pdf.txtGeographicWeighted.pdf.txtExtracted texttext/plain35668https://www.arca.fiocruz.br/bitstream/icict/16379/3/GeographicWeighted.pdf.txtfb1733ad49b8b85fd183e1152f7be8acMD53icict/163792023-01-12 11:30:49.795oai:www.arca.fiocruz.br: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Repositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-01-12T14:30:49Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.pt_BR.fl_str_mv |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
title |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
spellingShingle |
Geographic weighted regression: applicability to epidemiological studies of leprosy Duarte-Cunha, Mônica Lepra Epidemiologia Análise espacial Leprosy Epidemiology Spatial analysis GWR Leprosy Epidemiology Spatial analysis |
title_short |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
title_full |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
title_fullStr |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
title_full_unstemmed |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
title_sort |
Geographic weighted regression: applicability to epidemiological studies of leprosy |
author |
Duarte-Cunha, Mônica |
author_facet |
Duarte-Cunha, Mônica Almeida, Andréa Sobral de Cunha, Geraldo Marcelo da Santos, Reinaldo Souza dos |
author_role |
author |
author2 |
Almeida, Andréa Sobral de Cunha, Geraldo Marcelo da Santos, Reinaldo Souza dos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Duarte-Cunha, Mônica Almeida, Andréa Sobral de Cunha, Geraldo Marcelo da Santos, Reinaldo Souza dos |
dc.subject.other.pt_BR.fl_str_mv |
Lepra Epidemiologia Análise espacial |
topic |
Lepra Epidemiologia Análise espacial Leprosy Epidemiology Spatial analysis GWR Leprosy Epidemiology Spatial analysis |
dc.subject.en.pt_BR.fl_str_mv |
Leprosy Epidemiology Spatial analysis GWR |
dc.subject.decs.pt_BR.fl_str_mv |
Leprosy Epidemiology Spatial analysis |
description |
Secretaria Municipal de Saúde de Duque de Caxias, Departamento de Vigilância em Saúde, Duque de Caxias, RJ, Brasil. |
publishDate |
2016 |
dc.date.accessioned.fl_str_mv |
2016-11-30T13:58:52Z |
dc.date.available.fl_str_mv |
2016-11-30T13:58:52Z |
dc.date.issued.fl_str_mv |
2016 |
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.citation.fl_str_mv |
DUARTE-CUNHA, Mônica et al. Geographic weighted regression: applicability to epidemiological studies of leprosy. Rev. Sociedade Brasileira de Medicina Tropical, v.49, n.1, p.74-82, 2016. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/16379 |
dc.identifier.issn.pt_BR.fl_str_mv |
0037-8682 |
dc.identifier.doi.none.fl_str_mv |
10.1590/0037-8682-0307-2015 |
identifier_str_mv |
DUARTE-CUNHA, Mônica et al. Geographic weighted regression: applicability to epidemiological studies of leprosy. Rev. Sociedade Brasileira de Medicina Tropical, v.49, n.1, p.74-82, 2016. 0037-8682 10.1590/0037-8682-0307-2015 |
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https://www.arca.fiocruz.br/handle/icict/16379 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
publisher.none.fl_str_mv |
Universidade Federal de Mato Grosso |
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reponame:Repositório Institucional da FIOCRUZ (ARCA) instname:Fundação Oswaldo Cruz (FIOCRUZ) instacron:FIOCRUZ |
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