Systematic validation of land use regression medels for NO2 (Publications)
Land use regression (LUR) models have become popular to explain the spatial variation of air pollution concentrations. Independent evaluation is important. We developed LUR models for nitrogen dioxide
Air pollution exposure during pregnancy and childhood cognitive and psychomotor development in six European birth cohorts studies (Publications)
BACKGROUND:: Accumulating evidence from laboratory animal and human studies suggests that air pollution exposure during pregnancy affects cognitive and psychomotor development in childhood. METHODS::
Stability of measured and modelled spatial contrasts in NO2 over time (Publications)
OBJECTIVES: Land use regression (LUR) modelling is a popular method to estimate outdoor air pollution concentrations at the home and/or work addresses of individual subjects in epidemiological studies
Traffic-related air pollution and noise and children's blood pressure: results from the PIAMA birth cohort study (Publications)
AIMS: Elevation of a child's blood pressure may cause possible health risks in later life. There is evidence for adverse effects of exposure to air pollution and noise on blood pressure in adults. Lit
The association of LUR modeled PM2.5 elemental composition with personal exposure (Publications)
BACKGROUND AND AIMS: Land use regression (LUR) models predict spatial variation of ambient concentrations, but little is known about the validity in predicting personal exposures. In this study, the a
Agreement of land use regression models with personal exposure measurements of particulate matter and nitrogen oxides air pollution (Publications)
Land use regression (LUR) models are often used to predict long-term average concentrations of air pollutants. Little is known how well LUR models predict personal exposure. In this study the agreemen