88 results found
Pirani M, Gulliver J, Fuller GW, et al., 2013, Bayesian spatiotemporal modelling for the assessment of short-term exposure to particle pollution in urban areas, Journal of Exposure Science and Environmental Epidemiology, Vol: 24, Pages: 319-327, ISSN: 1559-064X
This paper describes a Bayesian hierarchical approach to predict short-term concentrations of particle pollution in an urbanenvironment, with application to inhalable particulate matter (PM10) in Greater London. We developed and compared severalspatiotemporal models that differently accounted for factors affecting the spatiotemporal properties of particle concentrations. Weconsidered two main source contributions to ambient measurements: (i) the long-range transport of the secondary fraction ofparticles, which temporal variability was described by a latent variable derived from rural concentrations; and (ii) the local primarycomponent of particles (traffic- and non-traffic-related) captured by the output of the dispersion model ADMS-Urban, which sitespecificeffect was described by a Bayesian kriging. We also assessed the effect of spatiotemporal covariates, including type of site,daily temperature to describe the seasonal changes in chemical processes affecting local PM10 concentrations that are notconsidered in local-scale dispersion models and day of the week to account for time-varying emission rates not available inemissions inventories. The evaluation of the predictive ability of the models, obtained via a cross-validation approach, revealed thatconcentration estimates in urban areas benefit from combining the city-scale particle component and the long-range transportcomponent with covariates that account for the residual spatiotemporal variation in the pollution process
Floud S, Blangiardo M, Clark C, et al., 2013, Exposure to aircraft and road traffic noise and associations with heart disease and stroke in six European countries: a cross-sectional study, ENVIRONMENTAL HEALTH, Vol: 12
Tang R, Blangiardo M, Gulliver J, 2013, Using Building Heights and Street Configuration to Enhance Intraurban PM10, NOX, and NO2 Land Use Regression Models, ENVIRONMENTAL SCIENCE & TECHNOLOGY, Vol: 47, Pages: 11643-11650, ISSN: 0013-936X
During the last three decades, Bayesian methods have developed greatly in the field of epidemiology. Their main challenge focusses around computation, but the advent of Markov Chain Monte Carlo methods (MCMC) and in particular of the WinBUGS software has opened the doors of Bayesian modelling to the wide research community. However model complexity and database dimension still remain a constraint. Recently the use of Gaussian random fields has become increasingly popular in epidemiology as very often epidemiological data are characterised by a spatial and/or temporal structure which needs to be taken into account in the inferential process. The Integrated Nested Laplace Approximation (INLA) approach has been developed as a computationally efficient alternative to MCMC and the availability of an R package (R-INLA) allows researchers to easily apply this method. In this paper we review the INLA approach and present some applications on spatial and spatio-temporal data.
Zucca M, Ugalde J, Arteaga FS, et al., 2013, Leukemia in children and youths of the Azuay province, Ecuador: 2000-2010, INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH, Vol: 23, Pages: 58-65, ISSN: 0960-3123
Floud S, Blangiardo M, Clark C, et al., 2013, Heart disease and stroke in relation to aircraft noise and road traffic noise - The HYENA study, 42nd International Congress and Exposition on Noise Control Engineering 2013, INTER-NOISE 2013: Noise Control for Quality of Life, Vol: 6, Pages: 5056-5059
Hansell AL, Blangiardo M, Fortunato L, et al., 2013, Aircraft noise and cardiovascular disease near Heathrow airport in London: small area study., BMJ, Vol: 347, ISSN: 0959-535X
To investigate the association of aircraft noise with risk of stroke, coronary heart disease, and cardiovascular disease in the general population.
Barrera L, Millett C, Blangiardo M, et al., 2012, Differences in the classification of hypertensive controlled patient in primary care: Cross sectional study., JRSM Short Rep, Vol: 3
OBJECTIVES: To examine differences in blood pressure control using the 2006 National Institute for Health and Clinical Excellence (NICE) guidelines and the 2007 Quality and Outcome Framework (QOF) standards. DESIGN: Cross-sectional study. SETTING: 28 general practices located in Wandsworth, London. PARTICIPANTS: Hypertensive patients aged 17 years and over. MAIN OUTCOMES MEASURES: Percentage of hypertensive patients classified as a hypertensive controlled patient (HCP) by each standard. RESULTS: 79.5% of patients were classified as a HCP by the QOF target and 60.7% by the NICE target. 93% and 14% of practices had more than 70% of patients classified as a HPC by using the QOF and NICE targets respectively. By applying the QOF target, men aged 45-64 years and 65 years and over had significantly higher probability of being classified as a HCP compared to those aged 17-44 years, OR 1.34 (1.08-.165) and OR 2.15 (1.61-2.87) respectively. Regardless of the target, for men the probability of being classified as a HCP increased with age. CONCLUSION: Better achievement of blood pressure control targets is present when the less stringent QOF target is used. Men aged 65 years and over were more likely to be classified as a HCP. Greater consistency is needed between the clinical targets in QOF and NICE guidance.
Carreras G, Chellini E, Blangiardo M, 2012, A Bayesian model for studying urban air pollution and respiratory symptoms in children, International Journal of Environment and Health, Vol: 6, Pages: 125-140, ISSN: 1743-4955
The association between traffic-related air pollution and long-term respiratory health problems has been extensively studied. In this work we evaluated the effect of traffic-related air pollution on respiratory symptoms in children living in Florence, Italy. Children were selected from different schools part of the Italian Studies on Respiratory Disorders in Children and the Environment 2. Exposure to traffic air pollution was assessed through a dispersion model and weighted by distance using four different criteria. A Bayesian hierarchical logistic regression model was specified to assess the impact of traffic air pollution on cough or phlegm and asthma. Potential confounders were included in the analysis. Familiarity of asthma and exposure to second-hand smoking showed the strongest positive association with respiratory symptoms. No evidence of increasing risk of asthma with urban air pollution was found, while some evidence of an association was observed for carbon dioxide and cough or phlegm. Copyright © 2012 Inderscience Enterprises Ltd.
Petit C, Blangiardo M, Richardson S, et al., 2012, Association of Environmental Insecticide Exposure and Fetal Growth With a Bayesian Model Including Multiple Exposure Sources, AMERICAN JOURNAL OF EPIDEMIOLOGY, Vol: 175, Pages: 1182-1190, ISSN: 0002-9262
Mustapha BA, Blangiardo M, Briggs DJ, et al., 2011, Traffic Air Pollution and Other Risk Factors for Respiratory Illness in Schoolchildren in the Niger-Delta Region of Nigeria, Environmental Health Perspectives, Vol: 119, Pages: 1478-1482, ISSN: 0091-6765
Background: Association of childhood respiratory illness with traffic air pollution has beeninvestigated largely in developed but not in developing countries, where pollution levels are oftenvery high.Objectives: In this study we investigated associations between respiratory health and outdoor andindoor air pollution in schoolchildren 7–14 years of age in low socioeconomic status areas in theNiger Delta.Methods: A cross-sectional survey was carried out among 1,397 schoolchildren. Exposure to homeoutdoor and indoor air pollution was assessed by self-report questionnaire. School air pollutionexposures were assessed using traffic counts, distance of schools to major streets, and particulatematter and carbon monoxide measurements, combined using principal components analysis.Hierarchical logistic regression was used to examine associations with reported respiratory health,adjusting for potential confounders.Results: Traffic disturbance at home (i.e., traffic noise and/or fumes evident inside the homevs. none) was associated with wheeze [odds ratio (OR) = 2.16; 95% confidence interval (CI),1.28–3.64], night cough (OR = 1.37; 95% CI, 1.03–1.82), phlegm (OR = 1.49; 95% CI,1.09–2.04), and nose symptoms (OR = 1.40; 95% CI, 1.03–1.90), whereas school exposure to acomponent variable indicating exposure to fine particles was associated with increased phlegm (OR= 1.38; 95% CI, 1.09–1.75). Nonsignificant positive associations were found between cooking withwood/coal (OR = 2.99; 95% CI, 0.88–10.18) or kerosene (OR = 2.83; 95% CI, 0.85–9.44) andphlegm compared with cooking with gas.Conclusion: Traffic pollution is associated with respiratory symptoms in schoolchildren in adeprived area of western Africa. Associations may have been underestimated because of nondifferentialmisclassification resulting from limitations in exposure measurement.
Baio G, Blangiardo GC, Blangiardo M, 2011, Centre Sampling Technique in Foreign Migration Surveys: A Methodological Note, JOURNAL OF OFFICIAL STATISTICS, Vol: 27, Pages: 451-465, ISSN: 0282-423X
Floud S, Vigna-Taglianti F, Hansell A, et al., 2011, Medication use in relation to noise from aircraft and road traffic in six European countries: results of the HYENA study, OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, Vol: 68, Pages: 518-524, ISSN: 1351-0711
Blangiardo M, Richardson S, Gulliver J, et al., 2011, A Bayesian analysis of the impact of air pollution episodes on cardio-respiratory hospital admissions in the Greater London area, STATISTICAL METHODS IN MEDICAL RESEARCH, Vol: 20, Pages: 69-80, ISSN: 0962-2802
Hansell A, Blangiardo M, Morris C, et al., 2011, Association Between Black Smoke and SO2 Air Pollution Exposures in 1971 and Mortality 1972-2007 in Great Britain, Joint Conference of International-Society-of-Exposure-Science/International-Society-for-Environmental-Epidemiology, Publisher: LIPPINCOTT WILLIAMS & WILKINS, Pages: S29-S29, ISSN: 1044-3983
Blangiardo M, Hansell A, Richardson S, 2011, A Bayesian model of time activity data to investigate health effect of air pollution in time series studies, ATMOSPHERIC ENVIRONMENT, Vol: 45, Pages: 379-386, ISSN: 1352-2310
Sabel C, Shaddick G, Blangiardo M, et al., 2011, Uncertainty Analysis Within the EU HEIMTSA (Health and Environment Integrated Methodology and Toolbox for Scenario Assessment) Project, Joint Conference of International-Society-of-Exposure-Science/International-Society-for-Environmental-Epidemiology, Publisher: LIPPINCOTT WILLIAMS & WILKINS, Pages: S176-S177, ISSN: 1044-3983
Haining R, Li GQ, Maheswaran R, et al., 2010, Inference from ecological models: estimating the relative risk of stroke from air pollution exposure using small area data, Spatial and Spatio-temporal Epidemiology, Vol: 1, Pages: 123-131
Blangiardo M, Cassese A, Richardson S, 2010, sdef: an R package to synthesize lists of significant features in related experiments, BMC BIOINFORMATICS, Vol: 11, ISSN: 1471-2105
Baio G, Blangiardo M, 2010, Bayesian hierarchical model for the prediction of football results, JOURNAL OF APPLIED STATISTICS, Vol: 37, Pages: 253-264, ISSN: 0266-4763
Floud S, Hansell A, Blangiardo M, et al., 2009, Medication use and transportation noise exposure, 8th European Conference on Noise Control 2009, EURONOISE 2009 - Proceedings of the Institute of Acoustics, Vol: 31
Petit C, Blangiardo M, Richardson S, et al., 2009, The Effect of Environmental Exposure to Pesticides on Birth-Weight, 21st Annual Conference of the International-Society-for-Environmental-Epidemiology, Publisher: LIPPINCOTT WILLIAMS & WILKINS, Pages: S43-S43, ISSN: 1044-3983
Blangiardo M, Richardson S, 2008, A Bayesian calibration model for combining different pre-processing methods in Affymetrix chips, BMC BIOINFORMATICS, Vol: 9, ISSN: 1471-2105
Baio G, Blangiardo M, 2008, Introduction to Bayesian modeling for the social sciences, Best practices in quantitative methods, Editors: Osborne, USA, Publisher: SAGE, Pages: 509-534, ISBN: 978-1-4129-4065-8
Blangiardo M, Richardson S, 2007, Statistical tools for synthesizing lists of differentially expressed features in related experiments, GENOME BIOLOGY, Vol: 8, ISSN: 1474-760X
Blangiardo M, Toti S, Giusti B, et al., 2006, Using a calibration experiment to assess gene-specific information: full Bayesian and empirical Bayesian models for two-channel microarray data, BIOINFORMATICS, Vol: 22, Pages: 50-57, ISSN: 1367-4803
Luceri C, De Filippo C, Giovannelli L, et al., 2005, Extremely low-frequency electromagnetic fields do not affect DNA damage and gene expression profiles of yeast and human lymphocytes., Radiation research, Vol: 164, Pages: 277-285
Bagnardi V, Blangiardo M, La Vecchia C, et al., 2001, A meta-analysis of alcohol drinking and cancer risk, British Journal of Cancer, Vol: 11, Pages: 1700-1705
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