Open Access
September 2016 Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow
Duncan Lee, Andrew Lawson
Ann. Appl. Stat. 10(3): 1427-1446 (September 2016). DOI: 10.1214/16-AOAS941


Maternal smoking is well known to adversely affect birth outcomes, and there is considerable spatial variation in the rates of maternal smoking in the city of Glasgow, Scotland. This spatial variation is a partial driver of health inequalities between rich and poor communities, and it is of interest to determine the extent to which these inequalities have changed over time. Therefore in this paper we develop a Bayesian hierarchical model for estimating the spatio-temporal pattern in smoking incidence across Glasgow between 2000 and 2013, which can identify the changing geographical extent of clusters of areas exhibiting elevated maternal smoking incidences that partially drive health inequalities. Additionally, we provide freely available software via the R package CARBayesST to allow others to implement the model we have developed. The study period includes the introduction of a ban on smoking in public places in 2006, and the results show an average decline of around 11% in maternal smoking rates over the study period.


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Duncan Lee. Andrew Lawson. "Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow." Ann. Appl. Stat. 10 (3) 1427 - 1446, September 2016.


Received: 1 July 2015; Revised: 1 April 2016; Published: September 2016
First available in Project Euclid: 28 September 2016

zbMATH: 06775272
MathSciNet: MR3553230
Digital Object Identifier: 10.1214/16-AOAS941

Keywords: Cluster detection , maternal smoking , spatial inequality , spatio-temporal modelling

Rights: Copyright © 2016 Institute of Mathematical Statistics

Vol.10 • No. 3 • September 2016
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