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https://www.arca.fiocruz.br/handle/icict/36130
SPATIAL ANALYSIS OF INTENTIONAL HOMICIDES IN JOÃO PESSOA, PARAÍBA, BRAZIL, 2011-2016
Brasil
Homicídio / economia
Homicídio / estatística & dados numéricos
Humanos
Áreas de Pobreza
Fatores de Risco
Fatores Socioeconômicos
Análise Espacial
Author
Affilliation
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.
Secretaria de Estado de Segurança Pública e Defesa Social da Paraíba. Assessoria de Ações Estratégicas. João Pessoa, PB, Brasil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Recife, PE, Brasil.
Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.
Secretaria de Estado de Segurança Pública e Defesa Social da Paraíba. Assessoria de Ações Estratégicas. João Pessoa, PB, Brasil.
Abstract
Objective: to describe spatial patterns of intentional homicides in João Pessoa, Paraíba, Brazil, 2011-2016. Methods: this was an ecological study using census tracts as units of analysis; the study used data on intentional homicides of victims living in João Pessoa obtained by cross-checking Mortality Information System (SIM) information with Public Security information; mortality coefficients were calculated for the whole period and its triennia and were later smoothed using the local empirical Bayesian method; spatial autocorrelation techniques were applied to the smoothed coefficients which were using Moran’s spatial statistics. Results: significant spatial autocorrelation was detected for the period as a whole (I=0.679, p=0.01), the
1st triennium (I=0.508, p=0.01), and the 2nd triennium (I=0.572, p=0.01); areas of greater risk were identified distributed among the western, northwestern, southeastern, and far south zones of the city, mainly in regions with low socioeconomic conditions; census tracts with low coefficients were located in areas of medium/high socioeconomic status. Conclusion: homicides in João Pessoa were high in poor districts and these are priority areas for intervention.
DeCS
Teorema de BayesBrasil
Homicídio / economia
Homicídio / estatística & dados numéricos
Humanos
Áreas de Pobreza
Fatores de Risco
Fatores Socioeconômicos
Análise Espacial
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