objectIve. To identify clusters of municipalities with high rates of hospital admissions because of motorcycle accidents in the "Vale do Paraíba". Methods. This was an ecological study and exploratory data was obtained from DATASUS for the period 2001 to 2005 for 27 municipalities in the part of the "Vale do Paraíba" that falls within São Paulo state and covering a population of about one million inhabitants. Spatial analysis was with Terraview software and Moran Global coefficients were calculated for hospital admission rate and motorcycle fleet, while the Pearson correlation was used for admissions. Thematic maps of spatial distribution and a BoxMap were constructed. Hospitalization data were presented 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 Moran Global Index (IM) = 0.34 (p = 0.02) for hospital admission rate and IM = 0.42 (p = 0.012) for admission rate by fleet. There was also strong correlation between motorcycle fleet and rate of hospital admission because of motorcycle accidents, (r = 0.94). conclusIon. A large cluster of nine municipalities was identified in the western region of the Paraíba Valley, thereby indicating where those hospitalized for motorcycle accidents lived and highlighting municipalities where preventive measures should be implemented.
Atualmente os acidentes de trânsito têm ganhado destaque, pois compõem as modernas epidemias que assolam diversos países do mundo. Este estudo visou identificar as microrregiões do estado de São Paulo com altas taxas de internações e óbitos de motociclistas. Foi desenvolvido um estudo ecológico e exploratório com dados de acidentados na categoria V20-V29 do CID-10, e a distribuição de internados entre 20-49 anos que evoluíram ao óbito. Analisaram-se as taxas de internação e de óbito de motociclistas por 100 mil habitantes, em 63 microrregiões, dentro do total dos internados entre 2005-2009. Os dados foram georreferenciados e aplicou-se uma abordagem por área obtendo-se o índice de Moran Global, base para construção dos mapas temáticos. Foram identificadas 63.059 internações e 1.925 óbitos. O índice de Moran Global (I) e o p-valor (p), para a taxa de internação foi I = 0,13 (p = 0,04) e para a taxa de óbito foi I = 0,01 (p = 0,39). Essa análise permitiu identificar o padrão espacial de acidentes e os municípios que obtiveram as maiores taxas de internação e óbito.
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