Imperial College London


Faculty of MedicineSchool of Public Health

Chair in Biostatistics



m.blangiardo Website




528Norfolk PlaceSt Mary's Campus






BibTex format

author = {Boulieri, A and Blangiardo, MB and Hansell, AH},
doi = {10.1016/j.sste.2016.05.004},
journal = {Spatial and Spatio-temporal Epidemiology},
pages = {28--36},
title = {Investigating trends in asthma and COPD through multiple data sources: a small area study},
url = {},
volume = {19},
year = {2016}

RIS format (EndNote, RefMan)

AB - This paper investigates trends in asthma and COPD by using multiple datasources to help understanding the relationships between disease prevalence, morbidityand mortality. GP drug prescriptions, hospital admissions, and deaths are analysedat clinical commissioning group (CCG) level in England from August 2010 to March2011. A Bayesian hierarchical model is used for the analysis, which takes into accountthe complex space and time dependencies of asthma and COPD, while it is alsoable to detect unusual areas. Main findings show important discrepancies across thedifferent data sources, reflecting the different groups of patients that are represented.In addition, the detection mechanism that is provided by the model, together withinference on the spatial, and temporal variation, provide a better picture of therespiratory health problem.
AU - Boulieri,A
AU - Blangiardo,MB
AU - Hansell,AH
DO - 10.1016/j.sste.2016.05.004
EP - 36
PY - 2016///
SN - 1877-5853
SP - 28
TI - Investigating trends in asthma and COPD through multiple data sources: a small area study
T2 - Spatial and Spatio-temporal Epidemiology
UR -
UR -
VL - 19
ER -