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.
Huang, Guowen
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. [electronic resource] - Spatial and spatio-temporal epidemiology - 63-74 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1877-5853
10.1016/j.sste.2015.09.002 doi
Air Pollutants--analysis
Air Pollution--adverse effects
Algorithms
Bayes Theorem
Environmental Exposure--adverse effects
Environmental Pollution--adverse effects
Hospitalization--statistics & numerical data
Humans
Models, Theoretical
Nitrogen Dioxide--analysis
Particulate Matter--analysis
Predictive Value of Tests
Respiratory System--drug effects
Respiratory Tract Diseases--chemically induced
Scotland--epidemiology
Sensitivity and Specificity
Spatio-Temporal Analysis
Time Factors
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. [electronic resource] - Spatial and spatio-temporal epidemiology - 63-74 p. digital
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
1877-5853
10.1016/j.sste.2015.09.002 doi
Air Pollutants--analysis
Air Pollution--adverse effects
Algorithms
Bayes Theorem
Environmental Exposure--adverse effects
Environmental Pollution--adverse effects
Hospitalization--statistics & numerical data
Humans
Models, Theoretical
Nitrogen Dioxide--analysis
Particulate Matter--analysis
Predictive Value of Tests
Respiratory System--drug effects
Respiratory Tract Diseases--chemically induced
Scotland--epidemiology
Sensitivity and Specificity
Spatio-Temporal Analysis
Time Factors