@article{ref1,
title="Multivariate spatiotemporal modeling of drug- and alcohol-poisoning deaths in New York City, 2009-2014",
journal="Spatial and spatio-temporal epidemiology",
year="2020",
author="Ransome, Yusuf and Subramanian, S. V. and Duncan, Dustin T. and Vlahov, Daivid and Warren, Joshua",
volume="32",
number="",
pages="e100306-e100306",
abstract="Drug- and alcohol-poisoning deaths remain current public health problems. Studies to date have typically focused on individual-level predictors of drug overdose deaths, and there remains a limited understanding of the spatiotemporal patterns and predictors of the joint outcomes. We use a hierarchical Bayesian spatiotemporal multivariate Poisson regression model on data from (N = 167) ZIP-codes between 2009 and 2014 in New York City to examine the spatiotemporal patterns of the joint occurrence of drug (opioids) and alcohol-poisoning deaths, and the covariates associated with each outcome. <br><br>RESULTS indicate that rates of both outcomes were highly positively correlated across ZIP-codes (cross-correlation: 0.57, 95% credible interval (CrI): 0.29, 0.77). ZIP-codes with a higher prevalence of heavy drinking had higher alcohol-poisoning deaths (relative risk (RR):1.63, 95% CrI: 1.26, 2.05) and drug-poisoning deaths (RR: 1.29, 95% CrI: 1.03, 1.59). These spatial patterns may guide public health planners to target specific areas to address these co-occurring epidemics.<br><br>Copyright © 2019 Elsevier Ltd. All rights reserved.<p /> <p>Language: en</p>",
language="en",
issn="1877-5845",
doi="10.1016/j.sste.2019.100306",
url="http://dx.doi.org/10.1016/j.sste.2019.100306"
}