Alcohol Abuse Disorder Prevalence and its Distribution Across Portugal

A Disease Mapping Approach

Authors

  • Helena Baptista Universidade Nova de Lisboa
  • Jorge M. Mendes Universidade Nova de Lisboa
  • José Caldas de Almeida Universidade Nova de Lisboa
  • Miguel Xavier Universidade Nova de Lisboa

DOI:

https://doi.org/10.57805/revstat.v13i1.165

Keywords:

alcohol abuse, Bayesian hierarchical models, disease mapping, generalized linear models, small area estimation

Abstract

Disease mapping is linked to two other scientific areas: small area estimation and ecological-spatial regression. This paper reviews similarities and differences among them. Bayesian hierarchical models are typically used in this context, using a combination of covariate data and a set of spatial random effects to represent the risk surface. The random effects are typically modeled by a conditional autoregressive prior distribution, and a number of alternative specifications have been proposed in the literature. The four models assessed here are applied to a study on alcohol abuse in Portugal, using data collected by the World Mental Health Survey Initiative.

Published

2015-04-10

How to Cite

Baptista , H., Mendes , J. M., Caldas de Almeida , J., & Xavier , M. (2015). Alcohol Abuse Disorder Prevalence and its Distribution Across Portugal: A Disease Mapping Approach. REVSTAT-Statistical Journal, 13(1), 79–101. https://doi.org/10.57805/revstat.v13i1.165