Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities

Detalhes bibliográficos
Autor(a) principal: Souza, Carlos Dornels Freire de
Data de Publicação: 2019
Outros Autores: Luna, Carlos Feitosa, Magalhães, Mônica de Avelar Figueiredo Mafra
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/35783
Resumo: Universidade Federal de Alagoas. Curso de Medicina. Disciplina de Saúde Coletiva. Arapiraca, AL, Brasil / Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
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spelling Souza, Carlos Dornels Freire deLuna, Carlos FeitosaMagalhães, Mônica de Avelar Figueiredo Mafra2019-09-23T15:01:35Z2019-09-23T15:01:35Z2019SOUZA, C. D. F. DE; LUNA, C. F.; MAGALHÃES, M. DE A. F. M. Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities. Anais Brasileiros De Dermatologia, v. 94, n. 2, p. 182–191, abr. 2019.1806-4841https://www.arca.fiocruz.br/handle/icict/3578310.1590/abd1806-4841.20197554engSpatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequitiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidade Federal de Alagoas. Curso de Medicina. Disciplina de Saúde Coletiva. Arapiraca, AL, Brasil / Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil / Fundação Oswaldo Cruz. Programa de Pós-Graduação em Saúde Pública. Recife, PE, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnologia em Saúde. Rio de Janeiro, RJ, Brasil.BACKGROUND: Leprosy is a neglected disease caused by Mycobacterium leprae. Brazil has the second largest number of cases in the world. OBJECTIVES: To analyze the spatial distribution of leprosy in the state of BAHIA, Brazil, and the association between his occurrence and the synthetic indicators of municipal socioeconomic performance, social vulnerability and income inequality. METHODS: An ecological study with secondary data obtained from the National System of Notifiable Diseases. Dependent variables: coefficient of detection in the general population and in the population under 15 years old and the rate of grade II of physical disability. Independent variables: Synthetic indicators of socioeconomic performance, social vulnerability and income inequality. RESULTS: The highest coefficients of detection of new cases in the general population and in children under 15 years old are concentrated in the north-west axis and in the southern region of the state. On the other hand, the highest rates of degree II of physical incapacity are concentrated in the north, northeast and south regions. Only the Index of Social and Economic Performance(IPESE)-Economy and Finance composed the final regression model of the general detection coefficients and in children under 15 years old. The municipalities with the highest indexes had the highest detection coefficients, reflecting the capacity to diagnose new cases. STUDY LIMITATIONS: The use of synthetic indicators is a limitation of the study. CONCLUSIONS: Leprosy presents a heterogeneous spatial pattern in the state of BAHIA, and the IPESE-Economics and Finance indicator is the only one with explanatory potential of the disease.LeprosyMycobacterium lepraePublic healthEpidemiologyAdolescenteDistribuição por IdadeTeorema de BayesBrasilepidemiologiaCidadesepidemiologiaDemografiamétodosPessoas com Deficiênciaestatística & dados numéricosDoenças Endêmicasestatística & dados numéricosIndicadores Básicos de SaúdeHumanosHanseníaseepidemiologiaDeterminantes Sociais da Saúdeestatística & dados numéricosFatores SocioeconômicosAnálise EspacialPopulações Vulneráveisestatística & dados numéricosinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83094https://www.arca.fiocruz.br/bitstream/icict/35783/1/license.txtee3692f7b0b97d5638099ab94397d05fMD51ORIGINALSpatial modeling of leprosy in the state of Bahia and its social determinants.pdfSpatial modeling of leprosy in the state of Bahia and its social determinants.pdfapplication/pdf762436https://www.arca.fiocruz.br/bitstream/icict/35783/2/Spatial%20modeling%20of%20leprosy%20in%20the%20state%20of%20Bahia%20and%20its%20social%20determinants.pdfa2eb74a06d04aafd1ce23256235ca6edMD52TEXTSpatial modeling of leprosy in the state of Bahia and its social determinants.pdf.txtSpatial modeling of leprosy in the state of Bahia and its social determinants.pdf.txtExtracted texttext/plain53298https://www.arca.fiocruz.br/bitstream/icict/35783/3/Spatial%20modeling%20of%20leprosy%20in%20the%20state%20of%20Bahia%20and%20its%20social%20determinants.pdf.txt1feeb46f3463e8042e7bbeb8da1b69d3MD53icict/357832019-09-24 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dc.title.pt_BR.fl_str_mv Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
spellingShingle Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
Souza, Carlos Dornels Freire de
Leprosy
Mycobacterium leprae
Public health
Epidemiology
Adolescente
Distribuição por Idade
Teorema de Bayes
Brasil
epidemiologia
Cidades
epidemiologia
Demografia
métodos
Pessoas com Deficiência
estatística & dados numéricos
Doenças Endêmicas
estatística & dados numéricos
Indicadores Básicos de Saúde
Humanos
Hanseníase
epidemiologia
Determinantes Sociais da Saúde
estatística & dados numéricos
Fatores Socioeconômicos
Análise Espacial
Populações Vulneráveis
estatística & dados numéricos
title_short Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_full Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_fullStr Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_full_unstemmed Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
title_sort Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities
author Souza, Carlos Dornels Freire de
author_facet Souza, Carlos Dornels Freire de
Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
author_role author
author2 Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
author2_role author
author
dc.contributor.author.fl_str_mv Souza, Carlos Dornels Freire de
Luna, Carlos Feitosa
Magalhães, Mônica de Avelar Figueiredo Mafra
dc.subject.en.pt_BR.fl_str_mv Leprosy
Mycobacterium leprae
Public health
Epidemiology
topic Leprosy
Mycobacterium leprae
Public health
Epidemiology
Adolescente
Distribuição por Idade
Teorema de Bayes
Brasil
epidemiologia
Cidades
epidemiologia
Demografia
métodos
Pessoas com Deficiência
estatística & dados numéricos
Doenças Endêmicas
estatística & dados numéricos
Indicadores Básicos de Saúde
Humanos
Hanseníase
epidemiologia
Determinantes Sociais da Saúde
estatística & dados numéricos
Fatores Socioeconômicos
Análise Espacial
Populações Vulneráveis
estatística & dados numéricos
dc.subject.decs.pt_BR.fl_str_mv Adolescente
Distribuição por Idade
Teorema de Bayes
Brasil
epidemiologia
Cidades
epidemiologia
Demografia
métodos
Pessoas com Deficiência
estatística & dados numéricos
Doenças Endêmicas
estatística & dados numéricos
Indicadores Básicos de Saúde
Humanos
Hanseníase
epidemiologia
Determinantes Sociais da Saúde
estatística & dados numéricos
Fatores Socioeconômicos
Análise Espacial
Populações Vulneráveis
estatística & dados numéricos
description Universidade Federal de Alagoas. Curso de Medicina. Disciplina de Saúde Coletiva. Arapiraca, AL, Brasil / Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-09-23T15:01:35Z
dc.date.available.fl_str_mv 2019-09-23T15:01:35Z
dc.date.issued.fl_str_mv 2019
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 SOUZA, C. D. F. DE; LUNA, C. F.; MAGALHÃES, M. DE A. F. M. Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities. Anais Brasileiros De Dermatologia, v. 94, n. 2, p. 182–191, abr. 2019.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/35783
dc.identifier.issn.pt_BR.fl_str_mv 1806-4841
dc.identifier.doi.none.fl_str_mv 10.1590/abd1806-4841.20197554
identifier_str_mv SOUZA, C. D. F. DE; LUNA, C. F.; MAGALHÃES, M. DE A. F. M. Spatial modeling of leprosy in the state of Bahia and its social determinants: a study of health inequities. Anais Brasileiros De Dermatologia, v. 94, n. 2, p. 182–191, abr. 2019.
1806-4841
10.1590/abd1806-4841.20197554
url https://www.arca.fiocruz.br/handle/icict/35783
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