期刊
SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY
卷 2, 期 4, 页码 301-309出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.sste.2011.10.001
关键词
Violent crime; Bayesian hierarchical model; Built environment; Disease mapping
Violent crimes are rarely considered a public health problem or investigated using epidemiological methods. But patterns of violent crime and other health conditions are often affected by similar characteristics of the built environment. In this paper, methods and perspectives from spatial epidemiology are used in an analysis of violent crimes in San Antonio, TX. Bayesian statistical methods are used to examine the contextual influence of several aspects of the built environment. Additionally, spatial regression models using Bayesian model specifications are used to examine spatial patterns of violent crime risk. Results indicate that the determinants of violent crime depend on the model specification, but are primarily related to the built environment and neighborhood socioeconomic conditions. Results are discussed within the context of a rapidly growing urban area with a diverse population. (C) 2011 Elsevier Ltd. All rights reserved.
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