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Spatial analysis of the social vulnerability of adolescent pregnancy

Feliciano, Rosiane de Araujo Ferreira; Carvalho Ferriani, Maria das Gracas; Mello, Débora Falleiros de; de Carvalho, Ione Pinto; Cano, Maria Aparecida Tedeschi; de Oliveira, Luiz Antonio
Fonte: CADERNOS SAUDE PUBLICA; RIO DE JANIERO Publicador: CADERNOS SAUDE PUBLICA; RIO DE JANIERO
Tipo: Artigo de Revista Científica
POR
Relevância na Pesquisa
65.82%
The purpose of this study was to present a spatial analysis of the social vulnerability of teenage pregnancy by geoprocessing data on births and deaths present on the Brazilian Ministry of Health databases in order to support intersectoral management actions and strategies based on spatial analysis in neighborhood areas. The thematic maps of the educational, occupational, birth and marital status of mothers, from all births and deaths in the city, presented a spatial correlation with teenage pregnancy. These maps were superimposed to produce social vulnerability map of adolescent pregnancy and women in general. This process presents itself as a powerful tool for the study of social vulnerability.

Análise espacial e desigualdade ambiental no município de São Paulo; Spatial analysis and environmental inequality in São Paulo city

Morato, Rubia Gomes
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 25/11/2008 PT
Relevância na Pesquisa
65.76%
O objetivo desta pesquisa é estudar a análise espacial da desigualdade ambiental no município de São Paulo/SP. A desigualdade ambiental é o princípio pelo qual, grupos de pessoas sejam étnicos, raciais ou de classe suporte uma parcela desproporcional das conseqüências ambientais negativas das operações econômicas, de políticas e programas federais, estaduais e locais, bem como resultantes da ausência ou omissão de tais políticas. Os dados utilizados para análise são o Censo 2000, realizado pelo IBGE, uma imagem de satélite Landsat ETM+, a carta geotécnica do município de São Paulo, produzida pelo IPT e o levantamento de áreas contaminadas realizado pela Cetesb. São consideradas as condições de abastecimento de água, de esgotamento sanitário, de coleta de lixo, a arborização urbana, a ocorrência de inundações e/ou escorregamentos e a presença de reservatórios de retenção das águas pluviais (piscinões) e áreas contaminadas. Para a análise e integração dos dados é utilizado um Sistema de Informação Geográfica com funções de processamento de imagens.; The purpose of this work consists of studying the spatial analysis of the environmental inequality in São Paulo city. Environmental inequality is the principle that a specific social group (eg. ethical...

Análise espacial das doenças respiratórias e a poluição relacionada ao tráfego no município de São Paulo; Spatial analysis of respiratory diseases and traffic- related air pollution in São Paulo

Almeida, Samuel Luna de
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 25/04/2013 PT
Relevância na Pesquisa
55.92%
Introdução: A avaliação dos riscos a saúde da população associados a exposição aos poluentes de origem veicular é, ainda, um importante desafio para pesquisadores e formuladores de políticas públicas de saúde e ambiente. Objetivos: Estudar a associação espacial das internações por doenças respiratórias e a poluição relacionada ao tráfego no município de São Paulo. Método: Dados de internações hospitalares por doenças respiratórias do sistema público e privado, no periodo de 2004-2006, foram georreferenciados por endereço do paciente. Foram selecionados os CIDs J20-J22 e J40-J47 para crianças menores de 5 anos e os diagnósticos J40-J47 para idosos com idade superior a 64 anos. A área urbana do município foi dividida em uma grade com células de 500mx500m e calculada a densidade de tráfego. Variáveis populacionais, socioeconômicas e o IDH foram convertidos da base de setor censitários para a grade, usando o ArcGIS ArcInfo 9.3. Análise de clusters foi realizada usando o modelo discreto de Poisson para o cálculo do risco esperado para cada grupo etário, com o uso do Software SaTScan v8.0. Para estudo da dependência espacial entre a taxa de internação por respiratórias em cada subgrupo e a densidade de tráfego total foram empregados o índice de Moran (I) e o Local Indicator for Spatial Autocorrelation (LISA)...

Câncer de tireóide no município  de São Paulo: análises de tendência e espacial dos dados do Registro de Câncer de Base Populacional; Thyroid cancer in São Paulo: trend and spatial analysis from the population- based cancer registry data

Michels, Fernanda Alessandra Silva
Fonte: Biblioteca Digitais de Teses e Dissertações da USP Publicador: Biblioteca Digitais de Teses e Dissertações da USP
Tipo: Tese de Doutorado Formato: application/pdf
Publicado em 11/10/2013 PT
Relevância na Pesquisa
65.84%
Introdução: A incidência de câncer de tireóide vem aumentando em todo o mundo e não há um consenso sobre as razões deste fato. O município de São Paulo apresenta altos coeficientes de incidência desta doença, mas ainda não foi analisada sua tendência e nem sua distribuição espacial. Objetivos: Descrever os coeficientes de incidência (1997-2010) e de mortalidade (1981-2010), analisar a tendência dos coeficientes de incidência e mortalidade, segundo sexo, faixa etária, tipo morfológico (incidência), bem como os efeitos da idade, período e coorte, e examinar a distribuição espacial. Métodos: Este é um estudo ecológico. Foram analisados os casos novos de câncer de tireóide diagnosticados no período de 1997 a 2010 fornecidos pelo Registro de Câncer de Base Populacional de São Paulo e os óbitos por câncer de tireóide ocorridos entre 1981 e 2010 fornecidos pelo Sistema de Mortalidade do Ministério da Saúde (SIM-MS) e pelo Programa de Aprimoramento das Informações de Mortalidade (PRO-AIM). Foram calculados os coeficientes bruto e padronizado de incidência e de mortalidade, foi analisada a tendência destes coeficientes através do modelo de regressão, da mudança percentual anual e do modelo idade-período-coorte. Para a análise espacial foram criados mapas temáticos...

Prevalence of the hepatitis C virus among university employees in São Paulo, southeastern Brazil: predictive factors and geoprocessing spatial analysis

Oliveira, Cássio Vieira De; Barbosa, Walnei Fernandes; Silveira, Liciana Vaz De Arruda; Menezes, Juliana; Machado, Flávia Souza; Silva, Giovanni Faria
Fonte: Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia - IBEPEGE Colégio Brasileiro de Cirurgia Digestiva - CBCD Sociedade Brasileira de Motilidade Digestiva - SBMD Federação Brasileira de Gastroenterologia - FBGSociedade Brasileira de Hepatologia - SBHSociedade Brasileira de Endoscopia Digestiva - SOBED Publicador: Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia - IBEPEGE Colégio Brasileiro de Cirurgia Digestiva - CBCD Sociedade Brasileira de Motilidade Digestiva - SBMD Federação Brasileira de Gastroenterologia - FBGSociedade Brasileira de Hepatologia - SBHSociedade Brasileira de Endoscopia Digestiva - SOBED
Tipo: Artigo de Revista Científica Formato: 9-13
ENG
Relevância na Pesquisa
65.78%
Background There are limited studies on the prevalence and risk factors associated with hepatitis C virus (HCV) infection. Objective Identify the prevalence and risk factors for HCV infection in university employees of the state of São Paulo, Brazil. Methods Digital serological tests for anti-HCV have been performed in 3153 volunteers. For the application of digital testing was necessary to withdraw a drop of blood through a needlestick. The positive cases were performed for genotyping and RNA. Chi-square and Fisher’s exact test were used, with P-value <0.05 indicating statistical significance. Univariate and multivariate logistic regression were also used. Results Prevalence of anti-HCV was 0.7%. The risk factors associated with HCV infection were: age >40 years, blood transfusion, injectable drugs, inhalable drugs (InDU), injectable Gluconergam®, glass syringes, tattoos, hemodialysis and sexual promiscuity. Age (P=0.01, OR 5.6, CI 1.4 to 22.8), InDU (P<0.0001, OR=96.8, CI 24.1 to 388.2), Gluconergam® (P=0.0009, OR=44.4, CI 4.7 to 412.7) and hemodialysis (P=0.0004, OR=90.1, CI 7.5 – 407.1) were independent predictors. Spatial analysis of the prevalence with socioeconomic indices, Gross Domestic Product and Human Development Index by the geoprocessing technique showed no positive correlation. Conclusions The prevalence of HCV infection was 0.7%. The independent risk factors for HCV infection were age...

PREVALENCE OF THE HEPATITIS C VIRUS AMONG UNIVERSITY EMPLOYEES IN SÃO PAULO, SOUTHEASTERN BRAZIL: predictive factors and geoprocessing spatial analysis

OLIVEIRA,Cássio Vieira de; BARBOSA,Walnei Fernandes; SILVEIRA,Liciana Vaz de Arruda; MENEZES,Juliana; MACHADO,Flávia Souza; SILVA,Giovanni Faria
Fonte: Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia - IBEPEGE ; Colégio Brasileiro de Cirurgia Digestiva - CBCD ; Sociedade Brasileira de Motilidade Digestiva - SBMD ; Federação Brasileira de Gastroenterologia - FBG; Sociedade Brasileira de Hepatologia - SBH; Sociedade Brasileira de Endoscopia Digestiva - SOBED Publicador: Instituto Brasileiro de Estudos e Pesquisas de Gastroenterologia - IBEPEGE ; Colégio Brasileiro de Cirurgia Digestiva - CBCD ; Sociedade Brasileira de Motilidade Digestiva - SBMD ; Federação Brasileira de Gastroenterologia - FBG; Sociedade Brasileira de Hepatologia - SBH; Sociedade Brasileira de Endoscopia Digestiva - SOBED
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/03/2015 EN
Relevância na Pesquisa
65.78%
Background There are limited studies on the prevalence and risk factors associated with hepatitis C virus (HCV) infection. Objective Identify the prevalence and risk factors for HCV infection in university employees of the state of São Paulo, Brazil. Methods Digital serological tests for anti-HCV have been performed in 3153 volunteers. For the application of digital testing was necessary to withdraw a drop of blood through a needlestick. The positive cases were performed for genotyping and RNA. Chi-square and Fisher’s exact test were used, with P-value <0.05 indicating statistical significance. Univariate and multivariate logistic regression were also used. Results Prevalence of anti-HCV was 0.7%. The risk factors associated with HCV infection were: age >40 years, blood transfusion, injectable drugs, inhalable drugs (InDU), injectable Gluconergam®, glass syringes, tattoos, hemodialysis and sexual promiscuity. Age (P=0.01, OR 5.6, CI 1.4 to 22.8), InDU (P<0.0001, OR=96.8, CI 24.1 to 388.2), Gluconergam® (P=0.0009, OR=44.4, CI 4.7 to 412.7) and hemodialysis (P=0.0004, OR=90.1, CI 7.5 – 407.1) were independent predictors. Spatial analysis of the prevalence with socioeconomic indices, Gross Domestic Product and Human Development Index by the geoprocessing technique showed no positive correlation. Conclusions The prevalence of HCV infection was 0.7%. The independent risk factors for HCV infection were age...

Population-based surveillance of pediatric pneumonia: use of spatial analysis in an urban area of Central Brazil

Andrade,Ana Lúcia Sampaio Sgambatti de; Silva,Simonne Almeida e; Martelli,Celina Maria Turchi; Oliveira,Renato Maurício de; Morais Neto,Otaliba Libânio de; Siqueira Júnior,João Bosco; Melo,Lícia Kamila; Di Fábio,José Luis
Fonte: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz Publicador: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/04/2004 EN
Relevância na Pesquisa
65.88%
This study examined the spatial distribution of childhood community-acquired pneumonia detected through prospective surveillance in Goiânia, Brazil. Three spatial analysis techniques were applied to detect intra-urban geographic aggregation of pneumonia cases: Kernel method, nearest neighbor hierarchical technique, and spatial scan statistic. A total of 724 pneumonia cases confirmed by chest radiography were identified from May 2000 to August 2001. All cases were geocoded on a digital map. The annual pneumonia risk rate was estimated at 566 cases/100,000 children. Analysis using traditional descriptive epidemiology showed a mosaic distribution of pneumonia rates, while GIS methodologies showed a non-random pattern with hot spots of pneumonia. Cluster analysis by spatial scan statistic identified two high-risk areas for pneumonia occurrence, including one most likely cluster (RR = 2.1; p < 0.01) and one secondary cluster (RR = 1.3; p = 0.01). The data used for the study are in line with recent WHO-led efforts to improve and standardize pediatric pneumonia surveillance in developing countries and show how GIS and spatial analysis can be applied to discriminate target areas of pneumonia for public heath intervention.

Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model

Honorato,Taizi; Lapa,Priscila Pagung de Aquino; Sales,Carolina Maia Martins; Reis-Santos,Barbara; Tristão-Sá,Ricardo; Bertolde,Adelmo Inácio; Maciel,Ethel Leonor Noia
Fonte: Associação Brasileira de Saúde Coletiva Publicador: Associação Brasileira de Saúde Coletiva
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/01/2014 EN
Relevância na Pesquisa
65.82%
OBJECTIVE: To study the relationship between the risk of dengue and sociodemographic variables through the use of spatial regression models fully Bayesian in the municipalities of Espírito Santo in 2010. METHOD: This is an ecological study and exploration that used spatial analysis tools in preparing thematic maps with data obtained from SinanNet. An analysis by area, taking as unit the municipalities of the state, was performed. Thematic maps were constructed by the computer program R 2.15.00 and Deviance Information Criterion (DIC), calculated in WinBugs, Absolut and Normalized Mean Error (NMAE) were the criteria used to compare the models. RESULTS: We were able to geocode 21,933 dengue cases (rate of 623.99 cases per 100 thousand habitants) with a higher incidence in the municipalities of Vitória, Serra and Colatina; model with spatial effect with the covariates trash and income showed the best performance at DIC and Nmae criteria. CONCLUSION: It was possible to identify the relationship of dengue with factors outside the health sector and to identify areas with higher risk of disease.

A zone-based iterative building displacement method through the collective use of Voronoi Tessellation, spatial analysis and multicriteria decision making

Basaraner,Melih
Fonte: Universidade Federal do Paraná Publicador: Universidade Federal do Paraná
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/06/2011 EN
Relevância na Pesquisa
65.82%
An iterative displacement method working based on generalisation zones is proposed as a part of contextual building generalisation in topographic map production at medium scales. Displacement is very complicated operation since a compromise ought to be found between several conflicting criteria. Displacement requirement mainly arises from the violation of minimum distances imposed by graphic limits after the enlargement of map objects for target scale. It is also important to maintain positional accuracy within scale limits and to propagate the changes to the related neighbouring objects by preserving spatial configurations as far as possible. In the proposed method, first it is decided where and when to initiate building displacement based on spatial analysis in the generalisation zones created for building clusters in the blocks. Secondly, relevant criteria are defined to control the displacement. Finally displacement candidate and vector are decided by means of Voronoi tessellation, spatial analysis techniques and combined multiple criteria (i.e. displacement controls) in each iteration. The evaluation of the findings demonstrates that this method is largely effective in zone-based displacement of buildings.

Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial; Genetic and phenotypic parameters in rice crop estimated by method of spatial analysis

Guimarães, Paulo Henrique Ramos
Fonte: Universidade Federal de Goiás; Brasil; UFG; Programa de Pós-graduação em Genetica e Melhoramentode Plantas; Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) Publicador: Universidade Federal de Goiás; Brasil; UFG; Programa de Pós-graduação em Genetica e Melhoramentode Plantas; Escola de Agronomia e Engenharia de Alimentos - EAEA (RG)
Tipo: Dissertação Formato: application/pdf
POR
Relevância na Pesquisa
65.88%
Some spatial analysis methods have been applied in order to mitigate environmental variation. The objective of this study was to evaluate the efficiency of spatial statistical, through the method of Papadakis, relative to the analysis to augmented blocks Federer in the correction of environmental variation. Were evaluated 198 progenies S0:2 of rice and four witnesses for augmented blocks of Federer. Data set were taken in the grain yield (GY, kg ha- 1) and plant height (PH, cm). The data set were subjected to variance analyses and were estimated the genetic and phenotypic parameters. The different approaches (BAF and Papadakis) were compared as to their estimates of genetic and phenotypic parameters. The ranking of adjusted means in the two models analyzed was performed, and calculated the Spearman correlation. There have been improvements in the statistics that depict the experimental accuracy when the spatial analysis was, that affect the estimates of genetic and phenotypic parameters. The use of the Papadakis method yielded fewer iterations compared to BAF for the same value of . Was able to gain direct selection for the AP and PG characters when the Papadakis method was used. With the use of spatial analysis selection was less influenced by the effect of environmental variation. Finally it was found that the spatial analysis methods were effective in the removal of environmental effects highlighting the Papadakis method...

Clusters of leprosy transmission and of late diagnosis in a highly endemic area in Brazil: focus on different spatial analysis approaches

Alencar, Carlos H.; Ramos, Alberto N., Jr.; Santos, Emerson S. dos; Richter, Joachim; Heukelbach, Jorg
Fonte: WILEY-BLACKWELL; MALDEN Publicador: WILEY-BLACKWELL; MALDEN
Tipo: Artigo de Revista Científica
ENG
Relevância na Pesquisa
65.9%
Objective The Brazilian National Hansens Disease Control Program recently identified clusters with high disease transmission. Herein, we present different spatial analytical approaches to define highly vulnerable areas in one of these clusters. Method The study area included 373 municipalities in the four Brazilian states Maranha o, Para ', Tocantins and Piaui '. Spatial analysis was based on municipalities as the observation unit, considering the following disease indicators: (i) rate of new cases / 100 000 population, (ii) rate of cases < 15 years / 100 000 population, (iii) new cases with grade-2 disability / 100 000 population and (iv) proportion of new cases with grade-2 disabilities. We performed descriptive spatial analysis, local empirical Bayesian analysis and spatial scan statistic. Results A total of 254 (68.0%) municipalities were classified as hyperendemic (mean annual detection rates > 40 cases / 100 000 inhabitants). There was a concentration of municipalities with higher detection rates in Para ' and in the center of Maranha o. Spatial scan statistic identified 23 likely clusters of new leprosy case detection rates, most of them localized in these two states. These clusters included only 32% of the total population...

Analise espacial da endemia de leptospirose na cidade de São Paulo, uma abordagem baseada em geoprocessamento; Spatial analysis of the leptopirosis endemic in the city of São Paulo, an approach based on geoprocessing

Gustavo Garcia Fontes Duarte
Fonte: Biblioteca Digital da Unicamp Publicador: Biblioteca Digital da Unicamp
Tipo: Dissertação de Mestrado Formato: application/pdf
Publicado em 26/08/2008 PT
Relevância na Pesquisa
65.82%
Este trabalho trata das endemias de leptospirose que ocorreram na cidade de São Paulo em 2006. Através de um viés geográfico, amparado nas facilidades proporcionadas pelos Sistemas de Informação Geográfica, busca-se enumerar e hierarquizar feições espaciais das áreas mais acometidas, para assim estabelecer uma relação entre o espaço geográfico e a doença, para então posteriormente elaborar um mapa de áreas de risco. Após uma breve apresentação da paisagem das áreas endêmicas, a zona leste da cidade de São Paulo tornase objeto para aplicação do método geográfico. Aspectos físicos e sociais são analisados conjuntamente por uma de uma matriz geográfica, portanto, através das abordagens corológica e espacial do espaço geográfico. No ambiente computacional, os Sistemas de Informação Geográfica tornam possível um estudo através dos pesos de evidência, que consiste na elaboração de probabilidades do acontecimento de um fenômeno a priori, sem intervenções, e a posteriori, com novas probabilidades de chance de acontecimento após a inserção de novas informações. Tais informações recebem neste trabalho o rótulo de planos de Informação. Para lidar com as endemias na zona leste os seguintes planos de informação foram utilizados no modelo: uso do solo...

Spatial analysis of neonatal mortality in the state of São Paulo, 2006-2010

Almeida,Milena Cristina Silva; Gomes,Camila Moraes Santos; Nascimento,Luiz Fernando Costa
Fonte: Sociedade de Pediatria de São Paulo Publicador: Sociedade de Pediatria de São Paulo
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/12/2014 EN
Relevância na Pesquisa
65.78%
OBJECTIVE: The aim of this study was to identify spatial patterns of distribution of overall, early, and late neonatal mortality rates in São Paulo state. METHODS: An ecological and exploratory study was carried in micro-regions of São Paulo sate. Mortality rates per 1,000 live births (LB) were calculated using data on overall, early, and late neonatal mortality in São Paulo between 2006 and 2010; these data were obtained from Information System and Information Technology Department of the Brazilian National Healthcare System (DATASUS). The global Moran's indices (I) were calculated for rates and thematic maps were built with these rates. Micro-regions with a high priority for intervention were identified by the box map. The software TerraView 4.2.1 was used for spatial analysis. RESULTS: The rates of early and late neonatal mortality were 6.2 per thousand LB and 2.5 per thousand LB, respectively. The global Moran's indexes (I) were I=0.13, I=0.15, and I=0.26 for overall, early, and late neonatal mortality rates, respectively; all global Moran's indices showed p-values <0.05. Thematic maps showed clusters of micro-regions with high rates located in the southwest and east of the state. CONCLUSION: The results presented in this study allow the implementation of policies by health managers...

Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil

Atanaka-Santos,Marina; Souza-Santos,Reinaldo; Czeresnia,Dina
Fonte: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz Publicador: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/05/2007 EN
Relevância na Pesquisa
65.8%
The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.

ANÁLISE ESPACIAL DE VISIBILIDADE (VIEWSHED) APLICADA A PRESERVACAO DE PAISAGENS CULTURAIS; SPATIAL ANALYSIS OF VISIBILITY (VIEWSHED) APPLIED TO THE PRESERVATION OF CULTURAL LANDSCAPES

Perin, Edenir Bagio; de Oliveira, Francisco Henrique
Fonte: Programa de Pós-Graduação em Geografia Humana. Universidade de São Paulo. Publicador: Programa de Pós-Graduação em Geografia Humana. Universidade de São Paulo.
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; Formato: application/pdf
Publicado em 30/04/2013 POR
Relevância na Pesquisa
65.74%
O presente trabalho está relacionado ao desenvolvimento e a identificação dos níveis de sensibilidade visual da Paisagem Cultural remanescente dos Caminhos de Tropas no Planalto de Lages, utilizando como subsídio a Cartografia e o Sistema de Informações Geográficas - SIG. Um importante processo econômico caracterizado pelo transporte de animais, principalmente muares e bovinos da região sul do Brasil e da República do Uruguai para os mercados do Sudeste, caracterizando-se com um dos principais processos de integração do território nacional ao longo dos séculos XVIII e XIX. O método utilizado está estruturado na representação digital e geométrica da área de pesquisa, através de modelos digitais e imagens orbitais. O estudo forneceu as informações sobre a localização das estruturas arqueológicas e permitiu gerar as análises espaciais de visibilidade (viewshed) cujos resultados possibilitaram identificar os níveis de sensibilidade visual da paisagem regional.; The present work is related to the development of different levels of visual frailty in the Cultural Landscape of troop's routes that are remanescent in the Plateau of Lages Using cartography and GIS as background of knowledge. An important economic process characterized by the transport of animals...

Análise espacial da mortalidade neonatal no Vale do Paraíba, 1999 a 2001; Spatial analysis of neonatal mortality in Paraíba Valley, Southeastern Brazil, 1999 to 2001

Nascimento, Luiz Fernando C; Batista, Getulio T; Dias, Nelson W; Catelani, Celso S; Becker, Daniela; Rodrigues, Luciana
Fonte: Universidade de São Paulo. Faculdade de Saúde Pública Publicador: Universidade de São Paulo. Faculdade de Saúde Pública
Tipo: info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion; ; ; ; ; Formato: application/pdf
Publicado em 01/02/2007 POR
Relevância na Pesquisa
65.85%
OBJETIVO: Analisar os padrões de distribuição espacial da mortalidade neonatal. MÉTODOS: Estudo ecológico e exploratório, utilizando técnicas de análise espacial dos dados de mortalidade neonatal no Vale do Paraíba paulista, nos anos 1999-2001. A análise estatística espacial utilizou uma base de dados georreferenciados de 35 municípios e rotinas de estatística espacial. Os dados de mortalidade foram obtidos na Secretaria de Estado da Saúde de São Paulo. As variáveis estudadas foram os coeficientes de mortalidade neonatal precoce, tardia e total, e o Índice de Desenvolvimento Humano relativos ao ano de 2000. Para avaliação da dependência espacial foram utilizados os coeficientes de autocorrelação de Moran global e o Índice de Moran local e analisadas as correlações entre as variáveis. RESULTADOS: Foram registrados 111.574 nascidos vivos, com 1.149 óbitos no período neonatal precoce (10,29/1.000 nascidos vivos), 285 no neonatal tardio (2,55/1.000 nascidos vivos) totalizando 1.434 óbitos no período neonatal (12,85/1.000 nascidos vivos). Os coeficientes de Moran (global) mostraram significância estatística (p; OBJECTIVE: To assess the spatial distribution of neonatal mortality. METHODS: An ecological and exploratory study using a spatial distribution of mortality data approach was carried out in the Paraiba Valley...

Using spatial analysis to identify areas vulnerable to infant mortality

Rodrigues,Mirella; Bonfim,Cristine; Portugal,José Luiz; Gurgel,Idê Gomes Dantas; Medeiros,Zulma
Fonte: Organización Panamericana de la Salud Publicador: Organización Panamericana de la Salud
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/07/2013 EN
Relevância na Pesquisa
65.87%
OBJECTIVE: To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life. METHODS: The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium 2006 - 2008 was used as a reference to estimate the average infant mortality rate, and the first analysis of the spatial distribution of the rate was performed to test for first-order spatial stationarity. The spatial pattern was then analyzed using Moran's index and G-statistic (α = 5%). RESULTS: The surface projections on trends showed that infant mortality is not constant in space. The Moran index (0.34, P < 0.01) and G-statistic (0.03, P < 0.01) confirmed a spatial autocorrelation between infant mortality and clusters when the Thiessen polygon method was used. CONCLUSIONS: The Voronoi polygons proved accurate for spatial analysis of infant mortality and were predictive of clusters with high risk of death in the first year of life.

Tuberculosis and living conditions in Salvador, Brazil: a spatial analysis

Erazo,Carlos; Pereira,Susan M.; Costa,Maria da Conceição N.; Evangelista-Filho,Delsuc; Braga,José Ueleres; Barreto,Mauricio L.
Fonte: Organización Panamericana de la Salud Publicador: Organización Panamericana de la Salud
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/07/2014 EN
Relevância na Pesquisa
65.85%
OBJECTIVE: To investigate spatial tuberculosis (TB) distribution patterns and the association between living conditions and incidence of the disease in Salvador, Bahia, Brazil. METHODS: An ecological study with neighborhood as the unit of analysis. Data was collected from the Notifiable Diseases Information System (Sistema de Informação de Agravos de Notificação, SINAN) and the Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística, IBGE). Rates of TB incidence were transformed and smoothed. Spatial analysis was applied to identify spatial auto-correlation and "hotspot" areas of high and low risk. The relationship between TB and living conditions was confirmed by spatial linear regression. RESULTS: The incidence of TB in Salvador displayed heterogeneous patterns, with higher rates occurring in neighborhoods with poor living conditions in 1995 - 1996. Over the study period, disease occurrence declined, particularly in less-privileged strata. In 2004 - 2005, the association between living conditions and TB was no longer observed. CONCLUSIONS: The heterogeneous spatial distribution of TB in Salvador previously reflected inequalities related to living conditions. Improvements in such conditions and health care for the less privileged may have contributed to observed changes.

Spatial analysis for stratification of priority malaria control areas, Mato Grosso State, Brazil

Atanaka-Santos,Marina; Souza-Santos,Reinaldo; Czeresnia,Dina
Fonte: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz Publicador: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/05/2007 EN
Relevância na Pesquisa
65.8%
The goal of this study was to stratify priority areas for malaria control in the State of Mato Grosso, Brazil, based on spatial analysis. The variables used were: Annual Parasite Index (API), Plasmodium falciparum/Plasmodium vivax ratio, population variation, number of families settled, and percent of deforested area. The Moran's I and Local Moran Test were applied, visualized with the Box Map and Moran Map, for 1986- 1991, 1992-1997, and 1998-2003. Box Map identified areas with high, low, and intermediate priority for control, and Moran Map identified municipalities with significant autocorrelation. In the high priority area, located in the North of Mato Grosso, malaria incidence decreased drastically despite the increase in the number of municipalities from the first to the last period. Other municipalities were added to the lower priority area, from the Southeast, Southwest, and Central-South of the State. The intermediate priority area was located along the border with neighboring States and municipalities classified as high and low priority. Spatial analysis showed the importance of the neighboring phenomenon between municipalities in defining priority areas, thus highlighting the technique's advantages for use in malaria control and surveillance.

Population-based surveillance of pediatric pneumonia: use of spatial analysis in an urban area of Central Brazil

Andrade,Ana Lúcia Sampaio Sgambatti de; Silva,Simonne Almeida e; Martelli,Celina Maria Turchi; Oliveira,Renato Maurício de; Morais Neto,Otaliba Libânio de; Siqueira Júnior,João Bosco; Melo,Lícia Kamila; Di Fábio,José Luis
Fonte: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz Publicador: Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz
Tipo: Artigo de Revista Científica Formato: text/html
Publicado em 01/04/2004 EN
Relevância na Pesquisa
65.88%
This study examined the spatial distribution of childhood community-acquired pneumonia detected through prospective surveillance in Goiânia, Brazil. Three spatial analysis techniques were applied to detect intra-urban geographic aggregation of pneumonia cases: Kernel method, nearest neighbor hierarchical technique, and spatial scan statistic. A total of 724 pneumonia cases confirmed by chest radiography were identified from May 2000 to August 2001. All cases were geocoded on a digital map. The annual pneumonia risk rate was estimated at 566 cases/100,000 children. Analysis using traditional descriptive epidemiology showed a mosaic distribution of pneumonia rates, while GIS methodologies showed a non-random pattern with hot spots of pneumonia. Cluster analysis by spatial scan statistic identified two high-risk areas for pneumonia occurrence, including one most likely cluster (RR = 2.1; p < 0.01) and one secondary cluster (RR = 1.3; p = 0.01). The data used for the study are in line with recent WHO-led efforts to improve and standardize pediatric pneumonia surveillance in developing countries and show how GIS and spatial analysis can be applied to discriminate target areas of pneumonia for public heath intervention.