Area of research
Health, Toxicology and Mutagenesis · Environmental Engineering
Research interest
Research interests include Environmental science, Ultrafine particle, Medicine, Term (time), Kriging, and Air pollution.
Air pollution mapping and variability over five European cities
Do machine learning methods improve prediction of ambient air pollutants with high spatial contrast? A systematic review
Long-term exposure to ultrafine particles and natural and cause-specific mortality
Integrating large-scale stationary and local mobile measurements to estimate hyperlocal long-term air pollution using transfer learning methods
Mobile monitoring of air pollutants; performance evaluation of a mixed-model land use regression framework in relation to the number of drive days.
Hyperlocal variation of nitrogen dioxide, black carbon, and ultrafine particles measured with Google Street View cars in Amsterdam and Copenhagen
Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO<sub>2</sub> Concentrations Using Measurements Sampled with Google Street View Cars
A Knowledge Transfer Approach to Map Long-Term Concentrations of Hyperlocal Air Pollution from Short-Term Mobile Measurements
Exposure to ambient ultrafine particles and allergic sensitization in children up to 16 years
Environmental risk factors of type 2 diabetes—an exposome approach
Modelling nationwide spatial variation of ultrafine particles based on mobile monitoring
Ultrafine particles, particle components and lung function at age 16 years: The PIAMA birth cohort study
Spatial and Spatiotemporal Variability of Regional Background Ultrafine Particle Concentrations in the Netherlands
Performance of Prediction Algorithms for Modeling Outdoor Air Pollution Spatial Surfaces
Long-Term Exposure to Ultrafine Particles and Incidence of Cardiovascular and Cerebrovascular Disease in a Prospective Study of a Dutch Cohort
Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression
Robustness of intra urban land-use regression models for ultrafine particles and black carbon based on mobile monitoring
Comparison of Ultrafine Particle and Black Carbon Concentration Predictions from a Mobile and Short-Term Stationary Land-Use Regression Model
A national fine spatial scale land-use regression model for ozone