Kees de Hoogh

Kees is an environmental exposure scientist at Utrecht University and assistant professor working at the Swiss Tropical and Public Health Institute in Basel, Switzerland. He specialises in spatial modelling and exposure assessment for studies on environment and health. His recent focus involves cutting edge fine resolution spatio-temporal modelling to derive refined exposures using satellite and ancillary data.

He has been involved in a number of large projects (BioSHARE, ESCAPE, ELAPSE) where he co-led the air pollution exposure assessment, and currently is a co-PI of the EXPANSE and PI of MOBI-AIR studies.

Publications

Monthly average air pollution models using geographically weighted regression in Europe from 2000 to 2019

Youchen Shen, Kees de Hoogh, Oliver Schmitz, Nick Clinton, Karin Tuxen-Bettman, Jørgen Brandt, Jesper H. Christensen, Lise M. Frohn, Camilla Geels, Derek Karssenberg, Roel Vermeulen, Gerard Hoek
Science of the Total Environment (2024)

Advancing Air Pollution Exposure Models with Open-Vocabulary Object Detection and Semantic Segmentation of Street-View Images

Zhendong Yuan, Jules Kerckhoffs, Pi-i Debby Lin, Esra Suel, Hao Li, Li Yi, Marcia Pescador Jimenez, Peter James, Kees de Hoogh, Gerard Hoek, Roel Vermeulen
Environmental Science & Technology (2025)

Comparison of air pollution exposure assessment methods and the association with children’s respiratory health

Femke Bouma, Gerard Hoek, Gerard H. Koppelman, Judith M. Vonk, Nicole AH Janssen, Sjoerd van Ratingen, Wouter Hendricx, Joost Wesseling,Jules Kerckhoffs, Roel Vermeulen, Kees de Hoogh, Ulrike Gehring
Environment International (2025)

Europe-wide high-spatial resolution air pollution models are improved by including traffic flow estimates on all roads

Youchen Shen, Kees de Hoogh, Oliver Schmitz, John Gullivere, Danielle Vienneau, Roel Vermeulen, Gerard Hoek, Derek Karssenberg
Atmospheric Environment (2024)

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

Zhendong Yuan, Jules Kerckhoffs, Youchen Shen, Kees de Hoogh, Gerard Hoek, Roel Vermeulen
Environmental Research Volume 228, 1 July 2023, 115836

Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression

Youchen Shen, Kees de Hoogh, Oliver Schmitz, Nicholas Clinton, Karin Tuxen-Bettman, Jørgen Brandt, Jesper Christensen, Lise Frohn, Camilla Geels, Derek Karssenberg, Roel Vermeulen, Gerard Hoek
Environment International (168), October 2022

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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