Space analysis of cases of child violence in Brazilian border regions
| العنوان: | Space analysis of cases of child violence in Brazilian border regions |
|---|---|
| المؤلفون: | Miura, Aline Suelen |
| المساهمون: | Nihei, Oscar Kenji, Andrade, Luciano de, Arcoverde, Marcos Augusto Moraes |
| المصدر: | Biblioteca Digital de Teses e Dissertações do UNIOESTE Universidade Estadual do Oeste do Paraná (UNIOESTE) instacron:UNIOESTE |
| بيانات النشر: | Universidade Estadual do Oeste do Paraná, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Geographic mapping, Maltrato a los niños, Epidemiology, Spatial analysis, Análisis espacial, Maus-tratos infantis, Violence, EPIDEMIOLOGIA [SAUDE COLETIVA], Mapeo geográfico, Análise espacial, Violencia, Mapeamento gráfico, Epidemiologia, Violência, Child abuse |
| الوصف: | Submitted by Wagner Junior (wagner.junior@unioeste.br) on 2020-10-28T14:06:14Z No. of bitstreams: 2 Aline_Suelen_Miura_2020.pdf: 3500785 bytes, checksum: e884956d3d5702c0420c858807f962aa (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Made available in DSpace on 2020-10-28T14:06:14Z (GMT). No. of bitstreams: 2 Aline_Suelen_Miura_2020.pdf: 3500785 bytes, checksum: e884956d3d5702c0420c858807f962aa (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2020-05-05 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES The research aimed to analyze the spatial distribution of violence among children and adolescents from zero to 18 years of age in the 588 municipalities of the Brazilian Border Strip (FFB). Ecological, descriptive, cross-sectional study, with secondary data from 2009 to 2017, using spatial analysis techniques. The data were obtained from the e-SIC. Population, socioeconomic and demographic information were made available by the IBGE and Atlas of Human Development in Brazil. The FFB and its three arcs (north, central and south) were analyzed. The total of the notifications were analyzed temporally through the programs Minitab 18 and Stata 15 and analyzed spatially through the programs QGIS 3.4.8 and GeoDa 1.14.0, the global Moran Index was used for the analysis of spatial autocorrelation, LISA analyzes and Getis-Ord to identify clusters, and multivariate regression analysis OLS, SLM and SEM to identify the socioeconomic and demographic indicators associated with municipal violence reporting rates. As a result, there were 43,509 notifications of violence, of which 10037 belonged to the north arc, 8710 to the central arc, and 24762 to the south, with physical and sexual being the most reported. For temporal trend, the greatest ascendancy for physics in the FFB and central and south arches, and in the north the sexual. The highest rates of annual averages per 100,000 children and adolescents in the FFB were for physical violence (46.7), followed by psychological (29.2), sexual (20.1), and considering the typology and highest annual average, it was in the south arc with the physical (49.3), the north with the sexual (38.6), again the south with the psychological (35.3). In the spatial exploratory analysis at FFB, 147 municipalities had violence rates > 865.1; the northern arc 17 municipalities with rates > 601.8; central 25 had a score > 575.6; and south 104 of these had rates > 909.7 per 100 thousand children and adolescents. The analyzes revealed a positive spatial autocorrelation of the FFB violence notification rate (I= 0.117753, p= 0.003), and three arcs: north (I= 0.109556, p=0.047000), central (I= 0.3337191, p= 0.00200) and south (I = 0.0649426, p= 0.028000), indicating the presence of spatial dependence among the municipalities in relation to this dependent variable. For the LISA analysis, in relation to FFB, 12 municipalities were found in the formation of 7 Alto-Alto clusters, and 46 in 10 Baixo-Baixo clusters. In the Getis-Ord analysis, 33 municipalities were found in the formation of 13 Alto clusters, 56 municipalities in 15 Baixo clusters. In the multivariate analysis for FFB, the best model obtained was the SLM, where the variable PEA18M (I= -0.046, p= 0.046) demonstrated a significant negative association with the violence notification rate, PESOURB (p= 0.021) and T_SUPER25M (p=0.001) pointed to a significant positive association. To the north, the multivariate analysis did not present a valid model in the OLS analysis. At the center, the variables that showed a significant positive association were T_SUPER25M (p 865.1; el arco norte 17 municipios con tasas > 601.8; el centro 25 tuvo un puntaje > 575.6; y el sur de 104 de estos tenían tasas > 909.7 por cada 100 mil niños y adolescentes. Los análisis revelaron una autocorrelación espacial positiva de la tasa de notificación de violencia en el FFB (I= 0.117753, p= 0.003), y tres arcos: norte (I= 0.109556, p= 0.047000), central (I= 0.3337191, p= 0.00200) y sur (I= 0.0649426, p= 0.028000), lo que indica la presencia de dependencia espacial entre los municipios en relación con esta variable dependiente. Para el análisis LISA, en relación con FFB, se encontraron 12 municipios en la formación de 7 grupos de Alto-Alto, y 46 en 10 grupos de Baixo-Baixo. En el análisis de GetisOrd, se encontraron 33 municipios en la formación de 13 grupos de Alto, 56 municipios en 15 grupos de Baixo. En el análisis multivariado para FFB, el mejor modelo obtenido fue el SLM, donde la variable PEA18M (I= -0.046, p= 0.046) demostró una asociación negativa significativa con la tasa de notificación de violencia, PESOURB (p = 0.021) y T_SUPER25M (p= 0.001) señaló una asociación positiva significativa. Al norte, el análisis multivariante no presentaba un modelo válido en el análisis OLS. En el centro, las variables que mostraron una asociación positiva significativa fueron T_SUPER25M (p865,1; o arco norte 17 municípios apresentando taxas >601,8; central 25 apresentaram escore >575,6; e sul 104 desses apresentaram taxas >909,7 por 100 mil crianças e adolescentes. As análises revelaram uma autocorrelação espacial positiva da taxa de notificação de violência na FFB (I= 0,117753, p= 0,003), e três arcos: norte (I= 0,109556, p=0,047000), central (I= 0,337191, p= 0,00200) e sul (I= 0,0649426, p= 0,028000), indicando a presença de dependência espacial entre os municípios em relação a essa variável dependente. Para a análise LISA, em relação a FFB encontrou-se 12 municípios na formação de 7 agrupamentos Alto-Alto, e 46 em 10 agrupamentos Baixo-Baixo. Na análise Getis-Ord, verificou-se 33 municípios na formação de 13 agrupamentos Alto, 56 municípios em 15 agrupamentos Baixo. Na análise multivariada para a FFB, o melhor modelo obtido foi o SLM, onde a variável PEA18M (I= -0,046, p= 0,046) demonstrou uma associação significativa negativa com a taxa de notificação de violência, PESOURB (p= 0,021) e T_SUPER25M (p=0,001) apontaram para uma associação significativa positiva. Para o norte, a análise multivariada não apresentou modelo válido na análise OLS. No central as variáveis que apresentaram associação significativa positiva foram T_SUPER25M (p< 0,001) e T_DENS (p< 0,001). No sul T_ANALF18M (p= 0,031) demonstrou uma associação significativa negativa com a taxa de notificação de violência, e PESOURB (p< 0,001) uma associação significativa positiva. Conclui-se que a distribuição dos casos de violência infanto-juvenil na FFB e arcos não ocorre aleatoriamente, havendo dependência espacial para sua disposição e sendo influenciada pelo grau de ocupação, pela educação, emprego/renda, área demográfica e moradia. |
| وصف الملف: | application/pdf |
| اللغة: | Portuguese |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=od______3056::48103f3382895ebde2c67c69f03a1336 http://tede.unioeste.br/handle/tede/5071 |
| Rights: | OPEN |
| رقم الانضمام: | edsair.od......3056..48103f3382895ebde2c67c69f03a1336 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |