ArticleJournal of exposure science & environmental epidemiology2026
Comparison of residential and mobility-integrated air pollution exposures from tracking campaigns and agent-based modelling in Switzerland and the Netherlands.
Article in Journal of exposure science & environmental epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The trial behind it
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Who cites it
1 citing paper in PubMed.
- GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation.International journal of health geographics · 2025Article
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStudies investigating the health effects of long-term exposure to air pollution generally rely on the outdoor air pollution exposure assigned at the residential address. By ignoring time activity, population exposure misclassification could potentially lead to loss of precision or bias in epidemiological studies.
objectiveWe aimed to assess how residential-based air pollution exposures compared with "real" tracking-based exposures.
methodsWe conducted two tracking campaigns in Switzerland (CH) and the Netherlands (NL) with 686 participants followed for 2 weeks with GPS trackers whilst keeping time activity diaries. In addition, we simulated mobility and commuting tracks for the same subjects using agent-based modeling (ABM) with information from census and travel survey data to estimate mobility-integrated air pollution exposures. Exposures were calculated by overlaying residential address, measured (GPS) and modeled (ABM) tracks with annual average hourly NO
resultsWe found strong agreements between residential and tracking-based exposures in CH for both pollutants (R SIGNIFICANCE: Our study supports the use of residential exposures in epidemiological studies on long-term health effects of air pollution, whilst acknowledging that ABM, especially if the work location is known, can be a useful tool to estimate mobility-integrated exposures. IMPACT STATEMENT: Our research supports the use of residential exposures in studies investigating the long-term health effects of air pollution, whilst acknowledging that agent-based modeling, especially if the work location is known, is valuable for estimating mobility-integrated exposures. Our findings are broadly applicable to air pollution epidemiology, in particular, studies of large populations that rely on exposure modeling.
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