Zhendong Yuan

Zhendong is an exposome-nl PhD candidate specializing in the field of mapping external exposome factors at fine spatiotemporal resolution. In particular, he applies machine learning (ML) and GIS methods to investigate the complex interaction between human activities and the surrounding geographic context in urban areas. He is also interested in topics related to global health risk assessment, remote sensing for humanitarian aid, and adapting ML algorithms in spatial Big Data processing.

Publications

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

Tabea S. Sonnenschein, G. Ardine de Wit, Nicolette R. den Braver, Roel C.H. Vermeulen, Simon Scheider
Science of The Total Environment, Volume 922 (2024)

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

J. Kerckhoffs, J. Khan, G. Hoek, Z. Yuan, O. Hertel, M. Ketzel, S. Solvang Jensen, F. Al Hasan, K. Meliefste, R. Vermeulen
Environment International (170), December 2022

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

Z. Yuan, J. Kerckhoffs, G. Hoek, R. Vermeulen
Environ Sci Technol . 2022 Sep 19. doi: 10.1021

Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO 2 Concentrations Using Measurements Sampled with Google Street View Cars

Jules Kerckhoffs, Jibran Khan, Gerard Hoek, Zhendong Yuan, Thomas Ellermann, Ole Hertel, Matthias Ketzel, Steen Solvang Jensen, Kees Meliefste, Roel Vermeulen
Environment Science and Technology, March 2022

Environmental risk factors of type 2 diabetes-an exposome approach

Beulens JWJ, Pinho MGM, Abreu TC, den Braver NR, Lam TM, Huss A, Vlaanderen J, Sonnenschein T, Siddiqui NZ, Yuan Z, Kerckhoffs J, Zhernakova A, Brandao Gois MF, Vermeulen RCH.
Diabetologia. 2021 Nov 18.

Zhendong Yuan

Contact information

z.yuan@uu.nl

Utrecht University

Institute for Risk Assesment Sciences (IRAS)

Yalelaan 2, 3584 CM Utrecht

Areas of Expertise

Big Data Computational modelling Environmental Epidemiology Geoinformatics

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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