Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions
File(s)
Accepted version
Author(s)
Blangiardo, MAG
Finazzi, F
Cameletti, M
Type
Journal Article
Abstract
Exposure to high levels of air pollutant concentration is known to be associated
with respiratory problems which can translate into higher morbidity and
mortality rates. The link between air pollution and population health has
mainly been assessed considering air quality and hospitalization or mortality
data. However this approach limits the analysis to individuals characterized
by severe conditions. In this paper we evaluate the link between air pollution
and respiratory diseases using general practice drug prescriptions for chronic
respiratory diseases, which allow to draw conclusions based on the general
population.
We propose a two-stage statistical approach: in the first stage we specify
a space-time model to estimate the monthly NO2 concentration integrating
several data sources characterized by different spatio-temporal resolution;
in the second stage we link the concentration to the β2-agonists prescribed
monthly by general practices in England and we model the prescription rates
through a small area approach.
with respiratory problems which can translate into higher morbidity and
mortality rates. The link between air pollution and population health has
mainly been assessed considering air quality and hospitalization or mortality
data. However this approach limits the analysis to individuals characterized
by severe conditions. In this paper we evaluate the link between air pollution
and respiratory diseases using general practice drug prescriptions for chronic
respiratory diseases, which allow to draw conclusions based on the general
population.
We propose a two-stage statistical approach: in the first stage we specify
a space-time model to estimate the monthly NO2 concentration integrating
several data sources characterized by different spatio-temporal resolution;
in the second stage we link the concentration to the β2-agonists prescribed
monthly by general practices in England and we model the prescription rates
through a small area approach.
Date Issued
2016-04-04
Date Acceptance
2016-03-03
Citation
Spatial and Spatio-temporal Epidemiology, 2016, 18, pp.1-12
ISSN
1877-5853
Publisher
Elsevier
Start Page
1
End Page
12
Journal / Book Title
Spatial and Spatio-temporal Epidemiology
Volume
18
Copyright Statement
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Public Health And Health Services
Veterinary Sciences
Publication Status
Published