A retrospective analysis of alcohol-related emergency calls to the ambulance service in Galicia

M. J. Ginzo Villamayor, P. Saavedra Nieves, D. Royé, F. Caamaño Isorna

This work will be focused on the introduction of statistical methods for data processing and modeling in society, specifically, on alcohol consumption and abuse in Galicia. Dataset is available from a retrospective cohort study based on the telephone calls to the Galicia-061 Public Health Emergency Foundation after alcohol consumption from 1 January 2007 to 4 February 2018. Bayesian hierarchical models and nonparametric level set estimation techniques will applied.
The main objective is modeling spatial and spatio-temporal patterns of emergency calls to the department ethyl poisoning in this region. This approach allows to allow to study the evolution of callings patterns. Specifically, hierarchical modeling, through Besag York Molliè (BYM) method will be used to meet this goal.
Nonparametric level set estimation techniques will be applied in order to identify the hot-spots of emergency calls. Significant covariates detected from hierachical models fittings will be taken into account.

Keywords: Alcohol, bayesian hierarchical models, nonparametric level set estimation

SGAPEIO-SEIO Invited Session
November 8, 2023  10:10 AM
CC2: Conference Room

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