Spatial analysis of deaths due to traffic accidents, before and after the Brazilian Drinking and Driving Law, in micro-regions of the state of São Paulo, Brazil.

OBJECTIVE: To identify special micro-region clusters according to mortality rates resulting from traffic accident in the state of São Paulo, Brazil, during the period of one year before and one year after the enactment of the Brazilian Drinking and Driving Law. METHODS: Ecological and exploratory study in the period of 2007 and 2009 in 63 micro-regions of the state of São Paulo. Geoprocessing tools were used with data from DATASUS (Database of the Brazilian Unified Health System), in order to analyze deaths resulting from traffic accidents at rates per 100,000 inhabitants and to build choropleth maps. New statistics were obtained by subtracting the 2009 rate from the 2007 rate, and regions with improvement or deterioration were observed. RESULTS: In 2007, there were 5,204 deaths, averaging 83 deaths/micro-region, and ranging from 1 to 1,440. In 2009, there were 5,065 deaths, averaging 80 deaths/micro-region, and ranging from 1 to 1453. In 2007, the Moran's coefficient was I = 0.09 (p = 0.04), with positive spatial correlation; in 2009, the coefficient was I = 0.04 (p = 0.16), with no correlation. The difference between rates was I = 0.23 (p = 0.007), indicating spatial association. In 2007, Presidente Prudente, Rio Claro, Campinas, Bragança Paulista, Osasco, and São Paulo presented high mortality rates. Of these regions, only Osasco did not stand out in 2009. Ribeirão Preto, Ourinhos, and Avaré deteriorated in 2009. The difference between the 2009 and 2007 rates showed that Amparo, Bragança Paulista, and Campinas improved, and that Presidente Prudente and Ourinhos deteriorated. CONCLUSION: It was possible to identify the places with higher mortality rates, pointing out locations where enforcement actions should be reviewed.

Análise espacial de óbitos por acidentes de trânsito, antes e após a Lei Seca, nas microrregiões do estado de São Paulo / Spatial analysis of deaths due to traffic accidents, before and after the Brazilian Drinking and Driving Law, in micro-regions of the state of São Paulo, Brazil

OBJETIVO: Identificar aglomerados espaciais de microrregiões segundo taxas de óbito por acidentes de trânsito, no Estado de São Paulo, 1 ano antes e 1 ano após a Lei Seca. MÉTODOS: Estudo ecológico e exploratório, no período de 2007 e 2009, em 63 microrregiões do Estado de SP, Brasil. Utilizaram-se ferramentas de geoprocessamento com dados do DATASUS; analisando óbitos decorrentes de acidentes de trânsito em taxas por 100 mil habitantes, construindo coropletes. Nova estatística foi obtida subtraindo-se a taxa de 2009 de 2007, observando regiões de melhora ou piora. RESULTADOS: Em 2007, ocorreram 5.204 óbitos, com média de 83 óbitos/microrregião, variando entre 1 e 1.440. Já 2009 obteve 5.065 óbitos com a média de 80 óbitos/microrregião, variando entre 1 e 1.453. O coeficiente de Moran em 2007 foi I = 0,09 (p = 0,04) com correlação espacial positiva e 2009 obteve I = 0,04 (p = 0,16), sem correlação. A diferença entre as taxas obteve I = 0,23 (p = 0, 007), indicando associação espacial. Em 2007, Presidente Prudente, Rio Claro, Campinas, Bragança Paulista, Osasco e São Paulo tiveram altas taxas de óbito. Dessas regiões citadas, somente Osasco não se destacou em 2009. Ribeirão Preto, Ourinhos e Avaré obtiveram piora em 2009. A diferença entre as taxas de 2009 e 2007 mostrou que Amparo, Bragança Paulista e Campinas tiveram melhora, e Presidente Prudente e Ourinhos apresentaram piora. CONCLUSÃO: Foi possível identificar os locais com as maiores taxas de mortalidade, apontando locais onde as ações de fiscalização devem ser revisadas.

OBJECTIVE: To identify special micro-region clusters according to mortality rates resulting from traffic accident in the state of São Paulo, Brazil, during the period of one year before and one year after the enactment of the Brazilian Drinking and Driving Law. METHODS: Ecological and exploratory study in the period of 2007 and 2009 in 63 micro-regions of the state of São Paulo. Geoprocessing tools were used with data from DATASUS (Database of the Brazilian Unified Health System), in order to analyze deaths resulting from traffic accidents at rates per 100,000 inhabitants and to build choropleth maps. New statistics were obtained by subtracting the 2009 rate from the 2007 rate, and regions with improvement or deterioration were observed. RESULTS: In 2007, there were 5,204 deaths, averaging 83 deaths/micro-region, and ranging from 1 to 1,440. In 2009, there were 5,065 deaths, averaging 80 deaths/micro-region, and ranging from 1 to 1453. In 2007, the Moran's coefficient was I = 0.09 (p = 0.04), with positive spatial correlation; in 2009, the coefficient was I = 0.04 (p = 0.16), with no correlation. The difference between rates was I = 0.23 (p = 0.007), indicating spatial association. In 2007, Presidente Prudente, Rio Claro, Campinas, Bragança Paulista, Osasco, and São Paulo presented high mortality rates. Of these regions, only Osasco did not stand out in 2009. Ribeirão Preto, Ourinhos, and Avaré deteriorated in 2009. The difference between the 2009 and 2007 rates showed that Amparo, Bragança Paulista, and Campinas improved, and that Presidente Prudente and Ourinhos deteriorated. CONCLUSION: It was possible to identify the places with higher mortality rates, pointing out locations where enforcement actions should be reviewed.

[Hospitalization due to motorcycle accidents in the Paraíba Valley using spatial analysis]. / Internações hospitalares por acidentes de moto no Vale do Paraíba.

OBJECTIVE: To identify clusters of municipalities with high rates of hospitalization due to motorcycle accidents in the "Vale do Paraíba". METHODS: This was an ecological study and exploratory data was obtained by DATASUS for the period 2001 to 2005 in 27 municipalities in the "Vale do Paraíba Paulista", covering a population of about one million inhabitants. The spatial analysis used the program Terraview and the Moran Global coefficients with respect to hospitalization rate and fleet of motorcycle were obtained. while the Pearson correlation was used for admission. Thematic maps of spatial distribution and of the BoxMap were constructed . Hospitalization data were addressed as rates per 100 thousand inhabitants. RESULTS: During the study period 1268 people were admitted, ranging from one to 608 hospital admissions per municipality. The coefficient of Moran Global IM = 0.34 (p = 0.02) for hospitalization rate and IM = 0.42 (p = 0.012) for admission rate according to the fleet. For hospitalization rate due to motorcycle accidents, there was also strong correlation between fleet of motorcycle and hospitalization (r = 0.94). CONCLUSION: A large cluster involving nine municipalities in the western region of the Paraíba Valley could be identified, thereby locating the residence of those hospitalized for motorcycle accidents, highlighting municipalities where preventive measures should be enforced.

Internações hospitalares por acidentes de moto no Vale do Paraíba / Hospitalization due to motorcycle accidents in the Paraíba Valley using spatial analysis

OBJETIVO: Identificar aglomerados de municípios com elevadas taxas de internações por acidentes de moto no Vale do Paraíba. MÉTODOS: Foi um estudo ecológico e exploratório com dados do DATASUS referentes ao período compreendido de 2001 a 2005, de 27 municípios do Vale do Paraíba paulista com uma população em torno de um milhão de habitantes. A análise espacial utilizou o programa Terraview e foram obtidos os coeficientes de Moran Global para taxa de internação e para frota de motocicleta e a correlação de Pearson para internação. Foram construídos mapas temáticos com informações sobre a distribuição espacial e do BoxMap. Os dados de internação foram abordados como taxas por 100 mil habitantes. RESULTADOS: No período de estudo foram internados 1268 pessoas, variando entre uma internação até 608 internações por município. Os coeficientes de Moran (global) I = 0,34 (p = 0,02) para a taxa de internação e I = 0,42 (p = 0,012) para taxa de internação de acordo com a frota. Para a taxa de internação por acidente de moto, também houve forte correlação entre frota de moto e internação (r = 0,94). CONCLUSÃO: Foi possível identificar um grande aglomerado que envolve nove municípios na região oeste do Vale do Paraíba, que localiza a residência dos internados por acidentes de moto, apontando municípios em que medidas preventivas devem ser aplicadas.

OBJECTIVE: To identify clusters of municipalities with high rates of hospitalization due to motorcycle accidents in the "Vale do Paraíba". METHODS: This was an ecological study and exploratory data was obtained by DATASUS for the period 2001 to 2005 in 27 municipalities in the "Vale do Paraíba Paulista", covering a population of about one million inhabitants. The spatial analysis used the program Terraview and the Moran Global coefficients with respect to hospitalization rate and fleet of motorcycle were obtained. while the Pearson correlation was used for admission. Thematic maps of spatial distribution and of the BoxMap were constructed . Hospitalization data were addressed as rates per 100 thousand inhabitants. RESULTS: During the study period 1268 people were admitted, ranging from one to 608 hospital admissions per municipality. The coefficient of Moran Global IM = 0.34 (p = 0.02) for hospitalization rate and IM = 0.42 (p = 0.012) for admission rate according to the fleet. For hospitalization rate due to motorcycle accidents, there was also strong correlation between fleet of motorcycle and hospitalization (r = 0.94). CONCLUSION: A large cluster involving nine municipalities in the western region of the Paraíba Valley could be identified, thereby locating the residence of those hospitalized for motorcycle accidents, highlighting municipalities where preventive measures should be enforced.