TY - JOUR
T1 - The spatio-temporal relationship between alcohol outlets and violence before and after privatization
T2 - A natural experiment, Seattle, Wa 2010–2013
AU - Tabb, Loni Philip
AU - Ballester, Lance
AU - Grubesic, Anthony
N1 - Funding Information:
The authors would like to thank the Washington State Liquor Cannabis Board and the Seattle Police Department. Support for this research was provided by a New Connections Grant #70817 by the Robert Wood Johnson Foundation and the National Science Foundation under Grant No. 1154316 .
Publisher Copyright:
© 2016 Elsevier Ltd
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Alcohol-related violence is a well-documented public health concern, where various individual and community-level factors contribute to this relationship. The purpose of this study is to examine the impact of a significant policy change at the local level, which privatized liquor sales and distribution. Specifically, we explored the relationship between alcohol and violence in Seattle, WA, 2010–2013, via hierarchical spatio-temporal disease mapping models. To measure and map this complex spatio-temporal relationship at the census block group level (n=567), we examined a variety of models using integrated nested Laplace approximations and used the deviance information criterion to gauge model complexity and fit. For each additional off-premises and on-premises alcohol outlet in a given census block group, we found a significant increase of 8% and 5% for aggravated assaults and 6% and 5% for non-aggravated assaults, respectively. Lastly, our maps showed variation in the estimated relative risks across the city of Seattle.
AB - Alcohol-related violence is a well-documented public health concern, where various individual and community-level factors contribute to this relationship. The purpose of this study is to examine the impact of a significant policy change at the local level, which privatized liquor sales and distribution. Specifically, we explored the relationship between alcohol and violence in Seattle, WA, 2010–2013, via hierarchical spatio-temporal disease mapping models. To measure and map this complex spatio-temporal relationship at the census block group level (n=567), we examined a variety of models using integrated nested Laplace approximations and used the deviance information criterion to gauge model complexity and fit. For each additional off-premises and on-premises alcohol outlet in a given census block group, we found a significant increase of 8% and 5% for aggravated assaults and 6% and 5% for non-aggravated assaults, respectively. Lastly, our maps showed variation in the estimated relative risks across the city of Seattle.
KW - Alcohol outlet
KW - Bayesian spatio-temporal
KW - Violence
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U2 - 10.1016/j.sste.2016.08.003
DO - 10.1016/j.sste.2016.08.003
M3 - Article
C2 - 27839575
AN - SCOPUS:84994691794
SN - 1877-5845
VL - 19
SP - 115
EP - 124
JO - Spatial and Spatio-temporal Epidemiology
JF - Spatial and Spatio-temporal Epidemiology
ER -