Publications
145 results found
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
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- Citations: 1
Pirani M, Gulliver J, Fuller G, et al., 2013, Bayesian spatiotemporal modelling for the assessment of short-term exposure to particle pollution in urban areas, Journal of exposure science & environmental epidemiology, Vol: N/A, ISSN: 1559-064X
This paper describes a Bayesian hierarchical approach to predict short-term concentrations of particle pollution in an urban environment, with application to inhalable particulate matter (PM10) in Greater London. We developed and compared several spatiotemporal models that differently accounted for factors affecting the spatiotemporal properties of particle concentrations. We considered two main source contributions to ambient measurements: (i) the long-range transport of the secondary fraction of particles, which temporal variability was described by a latent variable derived from rural concentrations; and (ii) the local primary component of particles (traffic- and non-traffic-related) captured by the output of the dispersion model ADMS-Urban, which site-specific effect 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 not considered in local-scale dispersion models and day of the week to account for time-varying emission rates not available in emissions inventories. The evaluation of the predictive ability of the models, obtained via a cross-validation approach, revealed that concentration estimates in urban areas benefit from combining the city-scale particle component and the long-range transport component with covariates that account for the residual spatiotemporal variation in the pollution process.
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.
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
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- Citations: 26
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.
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
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- Citations: 26
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
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- Citations: 65
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
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- Citations: 4
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
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- Citations: 1
Hansell A, Blangiardo M, Morris C, et al., 2011, Association Between Black Smoke and SO<sub>2</sub> 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
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- Citations: 2
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
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- Citations: 22
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
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- Citations: 8
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
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- Citations: 69
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
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- Citations: 4
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
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- Citations: 12
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
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- Citations: 7
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
Gomez-Rubio V, Cameletti M, Blangiardo M, Missing data analysis and imputation via latent Gaussian Markov random fields, SORT-STATISTICS AND OPERATIONS RESEARCH TRANSACTIONS, Vol: 46, Pages: 217-244, ISSN: 1696-2281
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- Citations: 1
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