Evidence map›Paper›PMID 40713588›Full record

ArticleInternational journal of health geographics2025

GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation.

Kalliopi Kyriakou, Benjamin Flückiger, Danielle Vienneau, Nicole Probst-Hensch, Ayoung Jeong, Medea Imboden, Aletta Karsies, Oliver Schmitz, Derek Karssenberg, Roel Vermeulen and 2 more

Abstract readComparative Study
In one paragraph

Article in International journal of health geographics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Kalliopi Kyriakou *Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands.
Benjamin Flückiger *Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Danielle VienneauSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Nicole Probst-HenschSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Ayoung JeongSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Medea ImbodenSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Aletta KarsiesSwiss Tropical and Public Health Institute, Allschwil, Switzerland.
Oliver SchmitzDepartment of Physical Geography (Geo), Utrecht University, Utrecht, the Netherlands.
Derek KarssenbergDepartment of Physical Geography (Geo), Utrecht University, Utrecht, the Netherlands.
Roel VermeulenInstitute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands.
Gerard HoekInstitute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands.
Kees de HooghSwiss Tropical and Public Health Institute, Allschwil, Switzerland. c.dehoogh@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpidemiological studies investigating long-term health effects of air pollution typically only consider the residential locations of the participants, thereby ignoring the space-time activity patterns that likely influence total exposure. This paper, part of a study in which residential-only and mobility-integrated exposures were compared in two tracking campaigns, reflects on GPS device choice, privacy, and recruitment strategy.

methodsTracking campaigns were conducted in Switzerland and the Netherlands. Participants completed a baseline questionnaire, carried a GPS device (SODAQ) for 2 weeks, and used a smartphone app for a time activity diary. The app also tracked GPS, albeit less frequently. Tracks were combined with air pollution surfaces to quantify NO

resultsIn Switzerland, participants were recruited from the COVCO-Basel cohort (33% recruitment rate; 489 of 1,475). In the Netherlands, -random recruitment was unsuccessful (1.4% rate; 41 of 3,000). Targeted recruitment with leaflets and a financial incentive (25 Euro voucher) increased participation to 189. Comparisons between smartphone app and SODAQ device data showed moderate to high correlations (R2 > 0.57) for total NO

conclusionsTracking can be effectively conducted using a mobile app or GPS device. The app's low-frequency GPS readings (every 3-4 min) were sufficient for long-term air pollution exposure assessment. For finer-scale readings, a dedicated GPS device is recommended. Tracking campaigns are crucial for studying personal exposure to air pollution but face challenges due to low recruitment rates and strict privacy regulations. Leveraging an existing cohort can improve recruitment, while targeted leaflet distribution with financial incentives can enhance participation in studies without a pre-recruited group.

Indexed as

Air PollutionGeographic Information SystemsInhalation ExposureActivities of Daily LivingAdolescentAdultFemaleHumansMaleMiddle AgedMobile ApplicationsNetherlandsNitrogen DioxideParticulate MatterSpatio-Temporal AnalysisSwitzerlandNitrogen DioxideParticulate MatterAir pollutionExternal GPS deviceGPS trackingSmartphone appTime-activity diariesTracking campaign design

Identifiers

PMID40713588
PMCPMC12296587

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.