Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009

Detalhes bibliográficos
Autor(a) principal: Moura, Cláudio Luiz Araújo
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UEFS
Texto Completo: http://tede2.uefs.br:8080/handle/tede/1040
Resumo: The homicide mortality has gained prominence in debates about its magnitude in the sphere of national and more recently in the State of Bahia, this which passes for a growing increase in mortality from this cause. Given knowledge of the areas of Geosciences and Epidemiology, this research examined the mortality rate from homicides in the state of Bahia in the socioeconomic and environmental aspects in the period from 2000 to 2009. The data for the research were obtained from the SIM - Health Information System - DATASUS agency of the Ministry of Health and Brazilian Institute of Geography and Statistics (IBGE). The methodology consisted of a survey and analysis of bibliographic references that gave theoretical support for development of a database, making georeferenced maps, tables and graphs. In addition to the standardization of rates (direct method), we applied the negative binomial model with random effects to identify potential risk factors that were adopted after the application of the Hausman test, with the population of a sample analysis with the 50 more populous cities of the State. The analysis of the spatial distribution of mortality rates per 100 inhabitants by place of occurrence, made by choropleth maps of 417 cities and Territory of Identity, was performed using epidemiological indicators of homicide rates and considering the International Classification of Diseases - ICD in its 10th revision. These steps also allowed the preparation of a profile of homicide victims, taking into account the variables (sex, race / ethnicity, education, marital status and age). In analyzing the profile of the victims, it was found that the most victims were male (93.06%), young age (63.13%), race / black (83.43%), unmarried (88.19%), schooling less than 08 years of study (84.24%). The most used instrument consisted of a firearm (77.02%) and place of death was the most common street (42.82%). In the spatial distribution of rates for the 417 cities of Bahia, was found a descent of these rates during the studying period, especially in cities with rates above 27.0 per 100 000 (national average) in the coastal cities in the state and upstate. The West of Bahia presented low rates during the period. The Territory of Identity by spatial showed that, during the studying period there was a progressive increase in mortality rates per 100 thousand inhabitants, with apex in 2009 showed that 08 Territories Identity with rates above the national average. In the multivariate analysis of the determinants investigated in each block there were factors associated with the reduction of homicides (rate sanitation, schooling rate, proportion of white fertility rate) and increased (rate of water, population density - Iddem , proportion of mixed). In analyzing the intra-block distal the variable Gini index, showed total effect (IRR = 0.56 and 0.54) in relation to the homicide rate, but with the opposite direction than expected. The variable intermediate population density was mediated by more proximal factors, and its total effect (IRR = 1.94 and 2.28 - Model - A) and its effect unmediated (IRR = 1.71 and 1.78 - Model - B). Similar behavior was observed in the distal Gini factor whose effect was not mediated (IRR = 0.73 and 0.71 - Model - B).
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spelling Santos, Carlos Antônio de Souza Teles45329150582http://lattes.cnpq.br/9200717284455624Moura, Cláudio Luiz Araújo2020-04-08T23:13:57Z2012-04-27MOURA, Claudio Luiz de Araújo. Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009. 2012. 119 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente)- Universidade Estadual de Feira de Santana, Feira de Santana, 2012.http://tede2.uefs.br:8080/handle/tede/1040The homicide mortality has gained prominence in debates about its magnitude in the sphere of national and more recently in the State of Bahia, this which passes for a growing increase in mortality from this cause. Given knowledge of the areas of Geosciences and Epidemiology, this research examined the mortality rate from homicides in the state of Bahia in the socioeconomic and environmental aspects in the period from 2000 to 2009. The data for the research were obtained from the SIM - Health Information System - DATASUS agency of the Ministry of Health and Brazilian Institute of Geography and Statistics (IBGE). The methodology consisted of a survey and analysis of bibliographic references that gave theoretical support for development of a database, making georeferenced maps, tables and graphs. In addition to the standardization of rates (direct method), we applied the negative binomial model with random effects to identify potential risk factors that were adopted after the application of the Hausman test, with the population of a sample analysis with the 50 more populous cities of the State. The analysis of the spatial distribution of mortality rates per 100 inhabitants by place of occurrence, made by choropleth maps of 417 cities and Territory of Identity, was performed using epidemiological indicators of homicide rates and considering the International Classification of Diseases - ICD in its 10th revision. These steps also allowed the preparation of a profile of homicide victims, taking into account the variables (sex, race / ethnicity, education, marital status and age). In analyzing the profile of the victims, it was found that the most victims were male (93.06%), young age (63.13%), race / black (83.43%), unmarried (88.19%), schooling less than 08 years of study (84.24%). The most used instrument consisted of a firearm (77.02%) and place of death was the most common street (42.82%). In the spatial distribution of rates for the 417 cities of Bahia, was found a descent of these rates during the studying period, especially in cities with rates above 27.0 per 100 000 (national average) in the coastal cities in the state and upstate. The West of Bahia presented low rates during the period. The Territory of Identity by spatial showed that, during the studying period there was a progressive increase in mortality rates per 100 thousand inhabitants, with apex in 2009 showed that 08 Territories Identity with rates above the national average. In the multivariate analysis of the determinants investigated in each block there were factors associated with the reduction of homicides (rate sanitation, schooling rate, proportion of white fertility rate) and increased (rate of water, population density - Iddem , proportion of mixed). In analyzing the intra-block distal the variable Gini index, showed total effect (IRR = 0.56 and 0.54) in relation to the homicide rate, but with the opposite direction than expected. The variable intermediate population density was mediated by more proximal factors, and its total effect (IRR = 1.94 and 2.28 - Model - A) and its effect unmediated (IRR = 1.71 and 1.78 - Model - B). Similar behavior was observed in the distal Gini factor whose effect was not mediated (IRR = 0.73 and 0.71 - Model - B).A mortalidade por homicídios tem ganhado destaque nos debates a cerca da sua magnitude na esfera Nacional e mais recentemente no Estado da Bahia, este que passa por um crescente aumento nas taxas de mortalidade por essa causa. Considerando-se conhecimentos das áreas de Geociências e da Epidemiologia, essa pesquisa analisou a mortalidade por homicídio no Estado da Bahia sob os aspectos socioeconômicos e ambientais no período de 2000 a 2009. Os dados para a realização da pesquisa foram obtidos no SIM – Sistema de Informações em Saúde – órgão do DATASUS do Ministério da saúde e Instituto Brasileiro de Geografia e Estatística (IBGE). A metodologia aplicada constituiu-se num levantamento e análise de referências bibliográficas que, deram suporte teórico para elaboração de um banco de dados; confecção de mapas georreferenciados, tabelas e gráficos. Além da padronização de taxas (método direto), foi aplicado o modelo binomial negativo com efeitos aleatórios para a identificação de potenciais fatores de risco que, foi adotado após a aplicação do teste Hausman, tendo como população de análise uma amostragem com os 50 municípios mais populosos do Estado. A análise espacial da distribuição das taxas de mortalidade por 100 mil habitantes por local de ocorrência, feita através de mapas coropléticos dos 417 municípios e por Território de Identidade, foi realizada utilizando-se indicadores epidemiológicos de mortalidade por homicídio e considerando-se a Classificação Internacional de Doenças – CID na sua 10º revisão. Essas etapas permitiram também na elaboração de um perfil das vítimas de homicídios, levando-se em conta as variáveis (sexo, raça/cor, escolaridade, estado civil e faixa etária). Na análise do perfil das vítimas, foi verificado que as pessoas mais vitimadas foram: do sexo masculino (93,06%); faixa etária jovem (63,13%); raça/cor negra (83,43%); estado civil solteiro (88,19%); escolaridade de menos de 08 anos de estudo (84,24%). O instrumento mais utilizado foi a arma de fogo (77,02%) e o local do óbito mais comum foi a via pública (42,82%).Na espacialização das taxas para os 417 municípios do Estado da Bahia, foi constatada uma ascendência dessas taxas no período de estudo, principalmente nos municípios com taxas acima de 27,0 por 100 mil (média nacional) municípios situados na faixa litorânea do Estado e norte do estado. O Oeste baiano apresentou taxas baixas durante o período. A espacialização por Território de Identidade demonstrou que, houve durante o período estudado um aumento progressivo das taxas de mortalidade por 100 mil habitantes, com ápice no ano de 2009 que apresentou 08 Territórios de Identidade com taxas acima da média nacional. Na análise multivariada dos determinantes investigados em cada Bloco observaram-se os fatores que associaram com a redução dos homicídios (taxa saneamento, taxa de escolaridade, proporção de brancos e taxa de fecundidade) e com o aumento (taxa de água, densidade demográfica - Iddem, proporção de pardos). Na analise intra-bloco a variável distal, índice Gini, apresentou efeito total (IRR=0.56 e 0.54) em relação à taxa de homicídios, mas com sentido inverso do esperado. A variável intermediaria densidade demográfica, foi mediada pelos fatores mais proximais, sendo o seu efeito total (IRR=1.94 e 2.28 – Modelo - A) e o seu efeito não-mediado (IRR= 1.71 e 1.78 – Modelo - B). Comportamento similar foi observado em relação ao fator distal Gini cujo efeito não mediado foi de (IRR=0.73 e 0.71 – Modelo - B).Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2020-04-08T23:13:57Z No. of bitstreams: 1 Dissertação_Claudio Luiz.pdf: 9467170 bytes, checksum: 416845b98f0d5427c9271c627fa1e0a4 (MD5)Made available in DSpace on 2020-04-08T23:13:57Z (GMT). No. of bitstreams: 1 Dissertação_Claudio Luiz.pdf: 9467170 bytes, checksum: 416845b98f0d5427c9271c627fa1e0a4 (MD5) Previous issue date: 2012-04-27application/pdfporUniversidade Estadual de Feira de SantanaMestrado em Modelagem em Ciência da Terra e do AmbienteUEFSBrasilDEPARTAMENTO DE CIÊNCIAS EXATASEpidemiologiaGeociênciasAnálises multivariadasAnálise espacialHomicídiosEpidemiologyGeosciencesMultivariate analysisSpatial AnalysisHomicidesCIENCIAS EXATAS E DA TERRA::GEOCIENCIASCIENCIAS EXATAS E DA TERRAHomicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-885176421937510469600600600600-5486832816611506211925634748993280916-4537326059604784016info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UEFSinstname:Universidade Estadual de Feira de Santana (UEFS)instacron:UEFSORIGINALDissertação_Claudio Luiz.pdfDissertação_Claudio Luiz.pdfapplication/pdf9467170http://tede2.uefs.br:8080/bitstream/tede/1040/2/Disserta%C3%A7%C3%A3o_Claudio+Luiz.pdf416845b98f0d5427c9271c627fa1e0a4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82089http://tede2.uefs.br:8080/bitstream/tede/1040/1/license.txt7b5ba3d2445355f386edab96125d42b7MD51tede/10402020-04-08 20:13:57.541oai:tede2.uefs.br:8080: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.uefs.br:8080/PUBhttp://tede2.uefs.br:8080/oai/requestbcuefs@uefs.br|| bcref@uefs.br||bcuefs@uefs.bropendoar:2020-04-08T23:13:57Biblioteca Digital de Teses e Dissertações da UEFS - Universidade Estadual de Feira de Santana (UEFS)false
dc.title.por.fl_str_mv Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
title Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
spellingShingle Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
Moura, Cláudio Luiz Araújo
Epidemiologia
Geociências
Análises multivariadas
Análise espacial
Homicídios
Epidemiology
Geosciences
Multivariate analysis
Spatial Analysis
Homicides
CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS
CIENCIAS EXATAS E DA TERRA
title_short Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
title_full Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
title_fullStr Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
title_full_unstemmed Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
title_sort Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009
author Moura, Cláudio Luiz Araújo
author_facet Moura, Cláudio Luiz Araújo
author_role author
dc.contributor.advisor1.fl_str_mv Santos, Carlos Antônio de Souza Teles
dc.contributor.authorID.fl_str_mv 45329150582
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/9200717284455624
dc.contributor.author.fl_str_mv Moura, Cláudio Luiz Araújo
contributor_str_mv Santos, Carlos Antônio de Souza Teles
dc.subject.por.fl_str_mv Epidemiologia
Geociências
Análises multivariadas
Análise espacial
Homicídios
topic Epidemiologia
Geociências
Análises multivariadas
Análise espacial
Homicídios
Epidemiology
Geosciences
Multivariate analysis
Spatial Analysis
Homicides
CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS
CIENCIAS EXATAS E DA TERRA
dc.subject.eng.fl_str_mv Epidemiology
Geosciences
Multivariate analysis
Spatial Analysis
Homicides
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS
CIENCIAS EXATAS E DA TERRA
description The homicide mortality has gained prominence in debates about its magnitude in the sphere of national and more recently in the State of Bahia, this which passes for a growing increase in mortality from this cause. Given knowledge of the areas of Geosciences and Epidemiology, this research examined the mortality rate from homicides in the state of Bahia in the socioeconomic and environmental aspects in the period from 2000 to 2009. The data for the research were obtained from the SIM - Health Information System - DATASUS agency of the Ministry of Health and Brazilian Institute of Geography and Statistics (IBGE). The methodology consisted of a survey and analysis of bibliographic references that gave theoretical support for development of a database, making georeferenced maps, tables and graphs. In addition to the standardization of rates (direct method), we applied the negative binomial model with random effects to identify potential risk factors that were adopted after the application of the Hausman test, with the population of a sample analysis with the 50 more populous cities of the State. The analysis of the spatial distribution of mortality rates per 100 inhabitants by place of occurrence, made by choropleth maps of 417 cities and Territory of Identity, was performed using epidemiological indicators of homicide rates and considering the International Classification of Diseases - ICD in its 10th revision. These steps also allowed the preparation of a profile of homicide victims, taking into account the variables (sex, race / ethnicity, education, marital status and age). In analyzing the profile of the victims, it was found that the most victims were male (93.06%), young age (63.13%), race / black (83.43%), unmarried (88.19%), schooling less than 08 years of study (84.24%). The most used instrument consisted of a firearm (77.02%) and place of death was the most common street (42.82%). In the spatial distribution of rates for the 417 cities of Bahia, was found a descent of these rates during the studying period, especially in cities with rates above 27.0 per 100 000 (national average) in the coastal cities in the state and upstate. The West of Bahia presented low rates during the period. The Territory of Identity by spatial showed that, during the studying period there was a progressive increase in mortality rates per 100 thousand inhabitants, with apex in 2009 showed that 08 Territories Identity with rates above the national average. In the multivariate analysis of the determinants investigated in each block there were factors associated with the reduction of homicides (rate sanitation, schooling rate, proportion of white fertility rate) and increased (rate of water, population density - Iddem , proportion of mixed). In analyzing the intra-block distal the variable Gini index, showed total effect (IRR = 0.56 and 0.54) in relation to the homicide rate, but with the opposite direction than expected. The variable intermediate population density was mediated by more proximal factors, and its total effect (IRR = 1.94 and 2.28 - Model - A) and its effect unmediated (IRR = 1.71 and 1.78 - Model - B). Similar behavior was observed in the distal Gini factor whose effect was not mediated (IRR = 0.73 and 0.71 - Model - B).
publishDate 2012
dc.date.issued.fl_str_mv 2012-04-27
dc.date.accessioned.fl_str_mv 2020-04-08T23:13:57Z
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dc.identifier.citation.fl_str_mv MOURA, Claudio Luiz de Araújo. Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009. 2012. 119 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente)- Universidade Estadual de Feira de Santana, Feira de Santana, 2012.
dc.identifier.uri.fl_str_mv http://tede2.uefs.br:8080/handle/tede/1040
identifier_str_mv MOURA, Claudio Luiz de Araújo. Homicídios no Estado da Bahia: Determinantes socioeconômicos e ambientais no período de 2000 a 2009. 2012. 119 f. Dissertação (Mestrado em Modelagem em Ciência da Terra e do Ambiente)- Universidade Estadual de Feira de Santana, Feira de Santana, 2012.
url http://tede2.uefs.br:8080/handle/tede/1040
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dc.publisher.program.fl_str_mv Mestrado em Modelagem em Ciência da Terra e do Ambiente
dc.publisher.initials.fl_str_mv UEFS
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv DEPARTAMENTO DE CIÊNCIAS EXATAS
publisher.none.fl_str_mv Universidade Estadual de Feira de Santana
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