Two-stage Bayesian model to evaluate the effect of air pollution on chronic respiratory diseases using drug prescriptions.

No abstract is available for this paper.

• Publication year

  2016

• Venue

  Spatial and Spatio-temporal Epidemiology

• Publication date

  2016-08-01

• Fields of study

  Medicine, Environmental Science

• Identifiers
  DOI 10.1016/j.sste.2016.03.001PMID 27494955
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• A latent process model for forecasting multiple time series in environmental public health surveillance

  2016cited by this paper
• Analysis of massive marked point patterns with stochastic partial differential equations

  2015cited by this paper
• Bayesian Spatial Modelling with R-INLA

  2015cited by this paper
• Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013.

  2015cited by this paper
• Applying Bayesian spatiotemporal models to fisheries bycatch in the Canadian Arctic

  2015cited by this paper
• Spatial quantile regression using INLA with applications to childhood overweight in Malawi.

  2015cited by this paper
• An integrated Bayesian model for estimating the long-term health effects of air pollution by fusing modelled and measured pollution data: A case study of nitrogen dioxide concentrations in Scotland.

  2015cited by this paper
• Bayesian analysis of measurement error models using integrated nested Laplace approximations

  2015cited by this paper
• Approximate Bayesian inference for spatial econometrics models

  2014cited by this paper
• Fine particle components and health—a systematic review and meta-analysis of epidemiological time series studies of daily mortality and hospital admissions

  2014cited by this paper
• A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London.

  2014cited by this paper
• Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)

  2014cited by this paper
• Controlling for unmeasured confounding and spatial misalignment in long‐term air pollution and health studies

  2014cited by this paper
• Seal encounters at sea: A contemporary spatial approach using R-INLA

  2014cited by this paper
• Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

  2014cited by this paper
• Association between respiratory prescribing, air pollution and deprivation, in primary health care.

  2013cited by this paper
• Spatial and spatio-temporal models with R-INLA.

  2013cited by this paper
• Prevention and control of noncommunicable diseases: Guidelines for primary health care in low-resource settings

  2013cited by this paper
• Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: Applied to data observed between 1992 and 2010 in rural North East South Africa

  2013cited by this paper
• Development and back-extrapolation of NO2 land use regression models for historic exposure assessment in Great Britain.

  2013cited by this paper
• Discussing the “big n problem”

  2013cited by this paper
• Fitting complex ecological point process models with integrated nested Laplace approximation

  2013cited by this paper
• Estimated generalized least squares in spatially misaligned regression models with Berkson error.

  2013cited by this paper
• Spatio-temporal modeling of particulate matter concentration through the SPDE approach

  2012cited by this paper
• openair - An R package for air quality data analysis

  2012cited by this paper
• Combining data and simulated data for space–time fields: application to ozone

  2012cited by this paper
• Bayesian computing with INLA: New features

  2012cited by this paper
• Measurement error in two‐stage analyses, with application to air pollution epidemiology

  2012cited by this paper
• Bayesian 2-Stage Space-Time Mixture Modeling With Spatial Misalignment of the Exposure in Small Area Health Data

  2012cited by this paper
• Hierarchical Bayesian models for space-time air pollution data

  2012cited by this paper
• Comparing spatio‐temporal models for particulate matter in Piemonte

  2011cited by this paper
• On Gaussian Markov random fields and Bayesian disease mapping

  2011cited by this paper
• Maximum likelihood estimation of the dynamic coregionalization model with heterotopic data

  2011cited by this paper
• Efficient measurement error correction with spatially misaligned data.

  2011cited by this paper
• Is air pollution of the 20th century a cause of current asthma hospitalisations?

  2011cited by this paper
• An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

  2011cited by this paper
• Spatial Modeling of Air Pollution in Studies of Its Short‐Term Health Effects

  2010cited by this paper
• Usefulness of prescription monitoring programs for surveillance—analysis of Schedule II opioid prescription data in Massachusetts, 1996–2006

  2010cited by this paper
• A Spatio-Temporal Downscaler for Output From Numerical Models

  2010cited by this paper
• TEKNISK-NATURVITENSKAPELIGE UNIVERSITET In order to make spatial statistics computationally feasible , we need to forget about the covariance function

  2010cited by this paper
• Fusing point and areal level space–time data with application to wet deposition

  2010cited by this paper
• Particulate Matter Air Pollution and Cardiovascular Disease: An Update to the Scientific Statement From the American Heart Association

  2010cited by this paper
• Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

  2009cited by this paper
• Measurement error caused by spatial misalignment in environmental epidemiology.

  2009cited by this paper
• Bayesian multivariate disease mapping and ecological regression with errors in covariates: Bayesian estimation of DALYs and ‘preventable’ DALYs

  2009cited by this paper
• Influence of socioeconomic deprivation on the relation between air pollution and beta-agonist sales for asthma.

  2009cited by this paper
• A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006

  2008cited by this paper
• Hierarchical space-time modelling of PM10 pollution

  2007cited by this paper
• Recent respiratory infection and risk of cardiovascular disease: case-control study through a general practice database.

  2007cited by this paper
• Protective effect of antibiotics against serious complications of common respiratory tract infections: retrospective cohort study with the UK General Practice Research Database

  2007cited by this paper
• Identification of asthmatic children using prescription data and diagnosis

  2007cited by this paper
• Relative risk of cardiovascular and cancer mortality in people with severe mental illness from the United Kingdom's General Practice Rsearch Database.

  2007cited by this paper
• Associations of traffic related air pollutants with hospitalisation for first acute myocardial infarction: the HEAPSS study

  2006cited by this paper
• Short-Acting β-Agonist Prescription Fills as a Marker for Asthma Morbidity

  2005cited by this paper
• Long-term air pollution exposure and living close to busy roads are associated with COPD in women

  2005cited by this paper
• Model Evaluation and Spatial Interpolation by Bayesian Combination of Observations with Outputs from Numerical Models

  2005cited by this paper
• Air pollution and respiratory drug use in the city of Como, Italy

  2005cited by this paper
• Short-acting beta-agonist prescription fills as a marker for asthma morbidity.

  2005cited by this paper
• The global burden of asthma: executive summary of the GINA Dissemination Committee Report

  2004cited by this paper
• Validity of the General Practice Research Database

  2003cited by this paper
• Combining Incompatible Spatial Data

  2002cited by this paper
• Air pollution and health.

  2002cited by this paper
• Use of the General Practice Research Database (GPRD) for respiratory epidemiology: a comparison with the 4th Morbidity Survey in General Practice (MSGP4)

  1999cited by this paper
• An association between air pollution and mortality in six U.S. cities.

  1993cited by this paper
• Bayesian image restoration, with two applications in spatial statistics

  1991cited by this paper
• Mortality and air pollution in London: a time series analysis.

  1990cited by this paper
• Respiratory illness and antibiotic use in general practice.

  1971cited by this paper
• Norges Teknisk-naturvitenskapelige Universitet Think Continuous: Markovian Gaussian Models in Spatial Statistics Think Continuous: Markovian Gaussian Models in Spatial Statistics

  year unknowncited by this paper

• Two-Stage Bayesian Factor Analysis for Air Pollution Source Apportionment and Health Risk Assessment

  2025cites this paper
• Semi-Implicit Approaches for Large-Scale Bayesian Spatial Interpolation

  2025cites this paper
• Exposure to ambient air pollution and onset of Parkinson’s disease in a large cohort study

  2025cites this paper
• Linking climate and dengue in the Philippines using a two-stage Bayesian spatio-temporal model

  2025cites this paper
• Predicting spatio-temporal dynamics of dengue using INLA (integrated nested laplace approximation) in Yogyakarta, Indonesia

  2025cites this paper
• Validating uncertainty propagation approaches for two-stage Bayesian spatial models using simulation-based calibration

  2025influential citation
• Voronoi linkage between mismatching voting stations and census tracts in analyzing the 2018 Brazilian presidential election data

  2025cites this paper
• A data fusion model for meteorological data using the INLA-SPDE method

  2024cites this paper
• A scalable two-stage Bayesian approach accounting for exposure measurement error in environmental epidemiology

  2024cites this paper
• Bayesian spatio-temporal models for mapping urban pedestrian traffic

  2023cites this paper
• CAUSAL HEALTH IMPACTS OF POWER PLANT EMISSION CONTROLS UNDER MODELED AND UNCERTAIN PHYSICAL PROCESS INTERFERENCE.

  2023cites this paper
• A comparison of exposure uncertainty propagation models used in epidemiological studies

  2023cites this paper
• SCADDA: Spatiotemporal Cluster Analysis With Density‐Based Distance Augmentation and Its Application to Fire Carbon Emissions

  2023cites this paper
• Spatial–temporal distribution of incidence, mortality, and case-fatality ratios of coronavirus disease 2019 and its social determinants in Brazilian municipalities

  2023cites this paper
• Quantifying the impact of air pollution on Covid-19 hospitalisation and death rates in Scotland

  2022influential citation
• A general framework for cutting feedback within modularized Bayesian inference

  2022cites this paper
• Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data

  2022cites this paper
• Data fusion in a two-stage spatio-temporal model using the INLA-SPDE approach

  2022cites this paper
• A Spatiotemporal Analysis of the Association of California City and County Cannabis Policies with Cannabis Outlet Densities

  2022cites this paper
• A Bayesian framework for incorporating exposure uncertainty into health analyses with application to air pollution and stillbirth.

  2022cites this paper
• Daily mortality/morbidity and air quality: Using multivariate time series with seasonally varying covariances

  2021influential citation
• Modelling natural regeneration of European beech in Saxony, Germany: identifying factors influencing the occurrence and density of regeneration

  2021cites this paper
• Estimating ambient air pollutant levels in Suzhou through the SPDE approach with R-INLA

  2021influential citation
• Spatial Analysis of Ambient Air Pollution and Cardiovascular Disease (CVD) Hospitalization Across Sweden

  2021cites this paper
• Associations between the spatiotemporal distribution of Kawasaki disease and environmental factors: evidence supporting a multifactorial etiologic model

  2021cites this paper
• Ambient air pollution and cardiovascular disease rate an ANN modeling: Yazd-Central of Iran

  2021cites this paper
• Multivariate spatial prediction of air pollutant concentrations with INLA

  2021cites this paper
• Compositional and Bayesian inference analysis of the concentrations of air pollutants in Catalonia, Spain.

  2021cites this paper
• Readmission Prediction for Patients with Heterogeneous Medical History: A Trajectory-Based Deep Learning Approach

  2021cites this paper
• The Effect of Corona Virus Lockdown on Air Pollution: Evidence from the City of Brescia in Lombardia Region (Italy)

  2020cites this paper
• Forecasting respiratory tract infection episodes from prescription data for healthcare service planning

  2020cites this paper
• Population-weighted exposure to air pollution and COVID-19 incidence in Germany

  2020cites this paper
• Bayesian variable selection for the Cox regression model with spatially varying coefficients with applications to Louisiana respiratory cancer data

  2020cites this paper
• Forecasting respiratory tract infection episodes from prescription data for healthcare service planning

  2020cites this paper
• An efficient Bayesian network for differential diagnosis using experts' knowledge

  2020cites this paper
• Application of spatial analysis to investigate contribution of VOCs to photochemical ozone creation

  2020cites this paper
• Modeling Antimicrobial Prescriptions in Scotland: A Spatiotemporal Clustering Approach

  2019cites this paper
• The knowledge representation and algorithm for personalized infectious disease risk prediction

  2019cites this paper
• Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach

  2019cites this paper
• Estimating the health impact of air pollution in Scotland, and the resulting benefits of reducing concentrations in city centres.

  2019cites this paper
• A locally adaptive process-convolution model for estimating the health impact of air pollution

  2018cites this paper
• Multivariate space‐time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty

  2017influential citation
• Bayesian Disease Mapping for Public Health

  2017cites this paper
• Spatial modelling of air pollution, deprivation and mortality in Scotland

  2017cites this paper
• A spatio-temporal process-convolution model for quantifying health inequalities in respiratory prescription rates in Scotland

  2017influential citation
• Spatio-Temporal Models with Space-Time Interaction and Their Applications to Air Pollution Data

  2017influential citation
• Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England

  2017cites this paper
• A rigorous statistical framework for spatio‐temporal pollution prediction and estimation of its long‐term impact on health

  2016cites this paper
• A survey on ecological regression for health hazard associated with air pollution

  2016cites this paper
• Spatial and Spatio-temporal Epidemiology

  year unknowncites this paper