ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.

Detalhes bibliográficos
Ano de defesa: 2019
Autor(a) principal: FERREIRA, Thaís Furtado lattes
Orientador(a): CALDAS, Arlene de Jesus Mendes lattes
Banca de defesa: CALDAS, Arlene de Jesus Mendes lattes, SANTOS, Alcione Miranda dos lattes, SILVA, Tereza Cristina lattes, SANTOS NETO, Marcelino lattes, BRANCO, Maria dos Remédios Freitas Carvalho
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal do Maranhão
Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE COLETIVA/CCBS
Departamento: DEPARTAMENTO DE ENFERMAGEM/CCBS
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: https://tedebc.ufma.br/jspui/handle/tede/2753
Resumo: INTRODUCTION: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis and although it is curable, it is still a serious global public health problem. Among the natives, higher incidences of TB have been found more than in another race/color. OBJECTIVE: To analyze the spatial-temporal distribution of TB cases among indigenous people in Brazil. METHOD: This is an ecological study carried out with all new cases of TB in indigenous people reported in the period 2011-2017 in the Notification Disease Information System (SINAN) of the National Program for TB Control of the Ministry of Health. Data were collected in January 2019. For the study of temporal analysis, the incidences were calculated for each year in three units of analysis: Brazil, the regions and the Federative Units (FU), these being standardized by the direct method according to sex and age. The Prais-Winsten generalized linear regression model was used to evaluate the growth, decreasing or stable variations from the analysis of the growth measure and the level of significance (p <0.05). For the study of spatial analysis, the municipalities were used as unit of analysis being calculated the gross incidence and then the incidences adjusted by the local empirical Bayesian method. For the calculation, the average number of TB cases in indigenous people occurred in the municipality and, as denominator, the average indigenous population living in the respective municipality, multiplied by 100,000. The Moran Global and Local Indices were calculated to observe the existence of spatial autocorrelation of TB cases and to delimit high and low risk clusters. Statistical analyzes were performed in Stata® software version 14.0 and GeoDa version 1.10. All maps were built in QGIS 3.6.2 software. RESULTS: A total of 6,520 cases of TB were reported in indigenous communities, which 62.6% lived in rural areas. The average incidence of TB in indigenous people in Brazil was 109 / 100,000. In the analysis by region of the country, the highest incidence occurred in the Midwest, North and Southeast regions. In the UF analysis, the highest incidences were found in Mato Grosso, São Paulo, Rondônia, Mato Grosso do Sul, Acre, Maranhão, Pará and Rio de Janeiro. The trend of the disease in the natives was stable both in the country and in most of its regions and UF. TB was distributed in a heterogeneous way in the Brazilian municipalities, and this distribution did not happen randomly, with High Risk areas concentrated in the North and Central-West regions of the country and Low Risk in most states in the Northeast region and regions Southeast and South. CONCLUSION: TB disproportionately affects Brazilian natives and the present study, by identifying regions, UF and agglomerates at risk for TB in indigenous people in Brazil can contribute to the elaboration and strengthening of more specific control actions.
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spelling CALDAS, Arlene de Jesus Mendes067.220.913-68http://lattes.cnpq.br/7214761052240294SANTOS, Alcione Miranda dos641.261.104-53http://lattes.cnpq.br/2709550775435326CALDAS, Arlene de Jesus Mendes067.220.913-68http://lattes.cnpq.br/7214761052240294SANTOS, Alcione Miranda dos641.261.104-53http://lattes.cnpq.br/2709550775435326SILVA, Tereza CristinaSANTOS NETO, Marcelinohttp://lattes.cnpq.br/2762193275718620BRANCO, Maria dos Remédios Freitas Carvalhohttp://lattes.cnpq.br/5449951869928014011.251.733-19http://lattes.cnpq.br/1542923855954206FERREIRA, Thaís Furtado2019-07-04T11:55:54Z2019-05-28FERREIRA, Thaís Furtado. Análise espaço-temporal da tuberculose em indígenas no BRASIL.. 2019. 117 folhas. Tese( Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís.https://tedebc.ufma.br/jspui/handle/tede/2753INTRODUCTION: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis and although it is curable, it is still a serious global public health problem. Among the natives, higher incidences of TB have been found more than in another race/color. OBJECTIVE: To analyze the spatial-temporal distribution of TB cases among indigenous people in Brazil. METHOD: This is an ecological study carried out with all new cases of TB in indigenous people reported in the period 2011-2017 in the Notification Disease Information System (SINAN) of the National Program for TB Control of the Ministry of Health. Data were collected in January 2019. For the study of temporal analysis, the incidences were calculated for each year in three units of analysis: Brazil, the regions and the Federative Units (FU), these being standardized by the direct method according to sex and age. The Prais-Winsten generalized linear regression model was used to evaluate the growth, decreasing or stable variations from the analysis of the growth measure and the level of significance (p <0.05). For the study of spatial analysis, the municipalities were used as unit of analysis being calculated the gross incidence and then the incidences adjusted by the local empirical Bayesian method. For the calculation, the average number of TB cases in indigenous people occurred in the municipality and, as denominator, the average indigenous population living in the respective municipality, multiplied by 100,000. The Moran Global and Local Indices were calculated to observe the existence of spatial autocorrelation of TB cases and to delimit high and low risk clusters. Statistical analyzes were performed in Stata® software version 14.0 and GeoDa version 1.10. All maps were built in QGIS 3.6.2 software. RESULTS: A total of 6,520 cases of TB were reported in indigenous communities, which 62.6% lived in rural areas. The average incidence of TB in indigenous people in Brazil was 109 / 100,000. In the analysis by region of the country, the highest incidence occurred in the Midwest, North and Southeast regions. In the UF analysis, the highest incidences were found in Mato Grosso, São Paulo, Rondônia, Mato Grosso do Sul, Acre, Maranhão, Pará and Rio de Janeiro. The trend of the disease in the natives was stable both in the country and in most of its regions and UF. TB was distributed in a heterogeneous way in the Brazilian municipalities, and this distribution did not happen randomly, with High Risk areas concentrated in the North and Central-West regions of the country and Low Risk in most states in the Northeast region and regions Southeast and South. CONCLUSION: TB disproportionately affects Brazilian natives and the present study, by identifying regions, UF and agglomerates at risk for TB in indigenous people in Brazil can contribute to the elaboration and strengthening of more specific control actions.INTRODUÇÃO: A Tuberculose (TB) é uma doença infectocontagiosa causada pelo Mycobacterium tuberculosis e apesar de ser curável ainda se configura como um grave problema de saúde pública global. Nos indígenas, tem sido encontradas incidências de TB superiores que nas demais raça/cor. OBJETIVO: Analisar distribuição espaço-temporal dos casos de TB em indígenas no Brasil. MÉTODO: Trata-se de um estudo ecológico realizado com todos os casos novos de TB em indígenas notificados no período de 2011-2017 no Sistema de Informação de Agravos de Notificação (SINAN) do Programa Nacional de Controle da TB do Ministério da Saúde. Os dados foram coletados em janeiro de 2019. Para o estudo de análise temporal, as incidências foram calculadas para cada ano em três unidades de análise: o Brasil, as regiões e as Unidades Federativas (UF) sendo estas padronizadas pelo método direto segundo sexo e idade. Utilizou-se o modelo de regressão linear generalizada de Prais-Winsten que permitiu avaliar as variações como crescentes, decrescentes ou estáveis, a partir da análise da medida de crescimento e do nível de significância (p < 0,05). Para o estudo de análise espacial, utilizou-se como unidade de análise os municípios sendo calculadas as incidências brutas e em seguida as incidências ajustadas pelo método bayesiano empírico local. Para o cálculo considerou-se como numerador a média dos casos de TB em indígenas ocorridos no município e como denominador, a média da população indígena residente no respectivo município, multiplicado por 100 mil. Os Índices de Moran Global e Local foram calculados para observar a existência de autocorrelação espacial dos casos de TB e para delimitação de aglomerados de alto e baixo risco. As análises estatísticas foram realizadas nos software Stata® versão 14.0 e GeoDa versão 1.10. Todos os mapas foram construídos no software QGIS 3.6.2. RESULTADOS: Foram notificados 6.520 casos de TB em indígenas, destes 62,6% residiam na zona rural. A incidência média da TB em indígenas no Brasil foi de 109/100.000 habitantes. Na análise por regiões do país, as maiores incidências ocorreram nas regiões Centro-Oeste, Norte e Sudeste. Na análise por UF, as maiores incidências foram encontradas no Mato Grosso, São Paulo, Rondônia, Mato Grosso do Sul, Acre, Maranhão, Pará e Rio de Janeiro. A tendência da doença nos indígenas foi estável tanto no país quanto na maioria das suas regiões e UF. A TB se distribuiu de forma heterogênea nos municípios brasileiros, sendo que esta distribuição não se deu de forma aleatória, com áreas de Alto Risco concentradas nas regiões Norte e Centro-Oeste do país e de Baixo Risco na maioria dos estados da região Nordeste e regiões Sudeste e Sul. CONCLUSÃO: A TB afeta desproporcionalmente os indígenas brasileiros e o presente estudo ao identificar regiões, UF e aglomerados de risco para a TB em indígenas no Brasil pode contribuir para a elaboração e fortalecimento de ações de controle mais específicas.Submitted by Maria Aparecida (cidazen@gmail.com) on 2019-07-04T11:55:54Z No. of bitstreams: 1 Thaís Furtado Ferreira.pdf: 3545944 bytes, checksum: 1489b27b1bc45366d5656651730a2cc5 (MD5)Made available in DSpace on 2019-07-04T11:55:54Z (GMT). No. of bitstreams: 1 Thaís Furtado Ferreira.pdf: 3545944 bytes, checksum: 1489b27b1bc45366d5656651730a2cc5 (MD5) Previous issue date: 2019-05-28application/pdfporUniversidade Federal do MaranhãoPROGRAMA DE PÓS-GRADUAÇÃO EM SAÚDE COLETIVA/CCBSUFMABrasilDEPARTAMENTO DE ENFERMAGEM/CCBSTuberculose; Saúde de populações indígenas; Estudos de séries temporais; Análise espacialTuberculosis; Health of Indigenous Peoples; Time Series Studies; Spatial AnalysisEpidemiologia.ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.SPACE-TEMPORAL ANALYSIS OF TUBERCULOSIS IN INDIGENOUS PEOPLE IN BRAZIL.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAORIGINALThaís Furtado Ferreira.pdfThaís Furtado Ferreira.pdfapplication/pdf3545944http://tedebc.ufma.br:8080/bitstream/tede/2753/2/Tha%C3%ADs+Furtado+Ferreira.pdf1489b27b1bc45366d5656651730a2cc5MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82255http://tedebc.ufma.br:8080/bitstream/tede/2753/1/license.txt97eeade1fce43278e63fe063657f8083MD51tede/27532019-07-04 08:55:54.349oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttps://tedebc.ufma.br/jspui/PUBhttp://tedebc.ufma.br:8080/oai/requestrepositorio@ufma.br||repositorio@ufma.bropendoar:21312019-07-04T11:55:54Biblioteca Digital de Teses e Dissertações da UFMA - Universidade Federal do Maranhão (UFMA)false
dc.title.por.fl_str_mv ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
dc.title.alternative.eng.fl_str_mv SPACE-TEMPORAL ANALYSIS OF TUBERCULOSIS IN INDIGENOUS PEOPLE IN BRAZIL.
title ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
spellingShingle ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
FERREIRA, Thaís Furtado
Tuberculose; Saúde de populações indígenas; Estudos de séries temporais; Análise espacial
Tuberculosis; Health of Indigenous Peoples; Time Series Studies; Spatial Analysis
Epidemiologia.
title_short ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
title_full ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
title_fullStr ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
title_full_unstemmed ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
title_sort ANÁLISE ESPAÇO-TEMPORAL DA TUBERCULOSE EM INDÍGENAS NO BRASIL.
author FERREIRA, Thaís Furtado
author_facet FERREIRA, Thaís Furtado
author_role author
dc.contributor.advisor1.fl_str_mv CALDAS, Arlene de Jesus Mendes
dc.contributor.advisor1ID.fl_str_mv 067.220.913-68
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/7214761052240294
dc.contributor.advisor-co1.fl_str_mv SANTOS, Alcione Miranda dos
dc.contributor.advisor-co1ID.fl_str_mv 641.261.104-53
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/2709550775435326
dc.contributor.referee1.fl_str_mv CALDAS, Arlene de Jesus Mendes
dc.contributor.referee1ID.fl_str_mv 067.220.913-68
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/7214761052240294
dc.contributor.referee2.fl_str_mv SANTOS, Alcione Miranda dos
dc.contributor.referee2ID.fl_str_mv 641.261.104-53
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/2709550775435326
dc.contributor.referee3.fl_str_mv SILVA, Tereza Cristina
dc.contributor.referee4.fl_str_mv SANTOS NETO, Marcelino
dc.contributor.referee4Lattes.fl_str_mv http://lattes.cnpq.br/2762193275718620
dc.contributor.referee5.fl_str_mv BRANCO, Maria dos Remédios Freitas Carvalho
dc.contributor.referee5Lattes.fl_str_mv http://lattes.cnpq.br/5449951869928014
dc.contributor.authorID.fl_str_mv 011.251.733-19
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/1542923855954206
dc.contributor.author.fl_str_mv FERREIRA, Thaís Furtado
contributor_str_mv CALDAS, Arlene de Jesus Mendes
SANTOS, Alcione Miranda dos
CALDAS, Arlene de Jesus Mendes
SANTOS, Alcione Miranda dos
SILVA, Tereza Cristina
SANTOS NETO, Marcelino
BRANCO, Maria dos Remédios Freitas Carvalho
dc.subject.por.fl_str_mv Tuberculose; Saúde de populações indígenas; Estudos de séries temporais; Análise espacial
topic Tuberculose; Saúde de populações indígenas; Estudos de séries temporais; Análise espacial
Tuberculosis; Health of Indigenous Peoples; Time Series Studies; Spatial Analysis
Epidemiologia.
dc.subject.eng.fl_str_mv Tuberculosis; Health of Indigenous Peoples; Time Series Studies; Spatial Analysis
dc.subject.cnpq.fl_str_mv Epidemiologia.
description INTRODUCTION: Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis and although it is curable, it is still a serious global public health problem. Among the natives, higher incidences of TB have been found more than in another race/color. OBJECTIVE: To analyze the spatial-temporal distribution of TB cases among indigenous people in Brazil. METHOD: This is an ecological study carried out with all new cases of TB in indigenous people reported in the period 2011-2017 in the Notification Disease Information System (SINAN) of the National Program for TB Control of the Ministry of Health. Data were collected in January 2019. For the study of temporal analysis, the incidences were calculated for each year in three units of analysis: Brazil, the regions and the Federative Units (FU), these being standardized by the direct method according to sex and age. The Prais-Winsten generalized linear regression model was used to evaluate the growth, decreasing or stable variations from the analysis of the growth measure and the level of significance (p <0.05). For the study of spatial analysis, the municipalities were used as unit of analysis being calculated the gross incidence and then the incidences adjusted by the local empirical Bayesian method. For the calculation, the average number of TB cases in indigenous people occurred in the municipality and, as denominator, the average indigenous population living in the respective municipality, multiplied by 100,000. The Moran Global and Local Indices were calculated to observe the existence of spatial autocorrelation of TB cases and to delimit high and low risk clusters. Statistical analyzes were performed in Stata® software version 14.0 and GeoDa version 1.10. All maps were built in QGIS 3.6.2 software. RESULTS: A total of 6,520 cases of TB were reported in indigenous communities, which 62.6% lived in rural areas. The average incidence of TB in indigenous people in Brazil was 109 / 100,000. In the analysis by region of the country, the highest incidence occurred in the Midwest, North and Southeast regions. In the UF analysis, the highest incidences were found in Mato Grosso, São Paulo, Rondônia, Mato Grosso do Sul, Acre, Maranhão, Pará and Rio de Janeiro. The trend of the disease in the natives was stable both in the country and in most of its regions and UF. TB was distributed in a heterogeneous way in the Brazilian municipalities, and this distribution did not happen randomly, with High Risk areas concentrated in the North and Central-West regions of the country and Low Risk in most states in the Northeast region and regions Southeast and South. CONCLUSION: TB disproportionately affects Brazilian natives and the present study, by identifying regions, UF and agglomerates at risk for TB in indigenous people in Brazil can contribute to the elaboration and strengthening of more specific control actions.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-07-04T11:55:54Z
dc.date.issued.fl_str_mv 2019-05-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv FERREIRA, Thaís Furtado. Análise espaço-temporal da tuberculose em indígenas no BRASIL.. 2019. 117 folhas. Tese( Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís.
dc.identifier.uri.fl_str_mv https://tedebc.ufma.br/jspui/handle/tede/2753
identifier_str_mv FERREIRA, Thaís Furtado. Análise espaço-temporal da tuberculose em indígenas no BRASIL.. 2019. 117 folhas. Tese( Programa de Pós-Graduação em Saúde Coletiva/CCBS) - Universidade Federal do Maranhão, São Luís.
url https://tedebc.ufma.br/jspui/handle/tede/2753
dc.language.iso.fl_str_mv por
language por
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.publisher.none.fl_str_mv Universidade Federal do Maranhão
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