J. Kerckhoffs

发表

Long-term exposure to ultrafine particles and incidence of cardiovascular and cerebrovascular disease in the EPIC-NL cohort

B. Brunekreef, J. Boer, P. Vineis, 2019 .

Mapping Air Pollution with Google Street View Cars: Towards Efficient Mobile Monitoring

Michael Brauer, Sarah Chambliss, Ananya Roy, 2018, ISEE Conference Abstracts.

Spatial and Spatiotemporal Variability of Regional Background Ultrafine Particle Concentrations in the Netherlands.

R. Vermeulen, G. Sterk, G. Hoek, 2020, Environmental science & technology.

Ambient ultrafine particles and asthma onset until age 20: The PIAMA birth cohort.

J. Boer, J. Vonk, G. Koppelman, 2022, Environmental research.

Modelling nationwide spatial variation of ultrafine particles based on mobile monitoring.

R. Vermeulen, G. Hoek, U. Gehring, 2020, Environment international.

A Knowledge Transfer Approach to Map Long-Term Concentrations of Hyperlocal Air Pollution from Short-Term Mobile Measurements

G. Hoek, J. Kerckhoffs, Zhendong Yuan, 2022, Environmental science & technology.

Environmental risk factors of type 2 diabetes—an exposome approach

A. Zhernakova, J. Vlaanderen, A. Huss, 2021, Diabetologia.

Performance of Prediction Algorithms for Modeling Outdoor Air Pollution Spatial Surfaces.

B. Brunekreef, R. Vermeulen, G. Hoek, 2019, Environmental science & technology.

Long-Term Exposure to Ultrafine Particles and Incidence of Cardiovascular and Cerebrovascular Disease in a Prospective Study of a Dutch Cohort

B. Brunekreef, J. Boer, P. Vineis, 2018, Environmental health perspectives.

Exposure to ambient ultrafine particles and allergic sensitization in children up to 16 years.

J. Vonk, G. Koppelman, G. Hoek, 2022, Environmental research.

Ultrafine particles, particle components and lung function at age 16 years: The PIAMA birth cohort study.

J. Vonk, R. Vermeulen, G. Koppelman, 2021, Environment International.

A national fine spatial scale land-use regression model for ozone.

Kees Meliefste, Meng Wang, Rob Beelen, 2015, Environmental research.

Integrating large-scale stationary and local mobile measurements to estimate hyperlocal long-term air pollution using transfer learning methods.

G. Hoek, K. de Hoogh, J. Kerckhoffs, 2023, Environmental research.

Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression.

Michael Brauer, Julian D Marshall, Shahzad Gani, 2018, Environmental science & technology.

Comparison of Ultrafine Particle and Black Carbon Concentration Predictions from a Mobile and Short-Term Stationary Land-Use Regression Model.

B. Brunekreef, R. Vermeulen, G. Hoek, 2016, Environmental science & technology.

LongITools: Dynamic longitudinal exposome trajectories in cardiovascular and metabolic noncommunicable diseases

Claire L. Webster, N. Timpson, M. Bulgheroni, 2021, Environmental epidemiology.

Hyperlocal variation of nitrogen dioxide, black carbon, and ultrafine particles measured with Google Street View cars in Amsterdam and Copenhagen.

G. Hoek, K. Meliefste, M. Ketzel, 2022, Environment international.

Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO2 Concentrations Using Measurements Sampled with Google Street View Cars

G. Hoek, K. Meliefste, M. Ketzel, 2022, Environmental science & technology.

A Nationwide Land Use Regression Model for Ultrafine Particles

G. Hoek, J. Kerckhoffs, R. Vermeulen, 2019, Environmental Epidemiology.

Robustness of intra urban land‐use regression models for ultrafine particles and black carbon based on mobile monitoring

Bert Brunekreef, Jelle Vlaanderen, Roel Vermeulen, 2017, Environmental research.

Long-Term Exposure to Ultrafine Particles and Incidence of Cardiovascular and Cerebrovascular Disease in a Prospective Study of a Dutch Cohort

B. Brunekreef, J. Boer, P. Vineis, 2018, Environmental health perspectives.

Long-term exposure to ultrafine particles and natural and cause-specific mortality.

G. Hoek, K. de Hoogh, U. Gehring, 2023, Environment international.

Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression.

M. Brauer, S. Hamburg, R. Alvarez, 2018, Environmental science & technology.

Mobile monitoring of air pollutants; performance evaluation of a mixed-model land use regression framework in relation to the number of drive days.

J. Kerckhoffs, Gerard Hoek, Roel Vermeulen, 2023, Environmental research.

Comparison of NO2 and BC Predictions Estimated Using Google Street View-Based and Conventional European-Wide LUR Models in Copenhagen, Denmark

K. de Hoogh, H. Amini, J. Kerckhoffs, 2023, Atmosphere.

LUR modeling of long-term average hourly concentrations of NO2 using hyperlocal mobile monitoring data.

J. Kerckhoffs, Zhendong Yuan, Youchen Shen, 2024, The Science of the total environment.

OP III – 4 Exposure assessment models for no2 and pm2.5 in the elapse study: a comparison of supervised linear regression and machine learning approaches

Jie Chen, Bert Brunekreef, Roel Vermeulen, 2018, Occupational and Environmental Medicine.

Do Machine Learning Methods Improve Prediction of Ambient Air Pollutants with High Spatial Contrast? A Systematic Review.

S. Buteau, J. Kerckhoffs, A. Smargiassi, 2024, Environmental research.

Harnessing AI to unmask Copenhagen's invisible air pollutants: A study on three ultrafine particle metrics.

Z. Andersen, K. Meliefste, J. Kerckhoffs, 2024, Environmental pollution.