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
  • , Gerard Hoek
  • , Kees de Hoogh*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Epidemiological 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. Methods: Tracking 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 NO2 and PM2.5 exposure by activity. Results: In 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 NO2 exposure and NO2 exposure at home in both study areas. Activity-specific correlations ranged from 0.43 to 0.63. PM2.5 correlations in Switzerland were moderate to high, but lower in the Netherlands (R2 = 0.28–0.58), due to smaller spatial contrast in observed PM2.5 levels (RMSE < 0.68 µg/m3). Conclusions: Tracking 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.

Original languageEnglish
Article number17
JournalInternational journal of health geographics
Volume24
Issue number1
DOIs
Publication statusPublished - 26 Jul 2025
Externally publishedYes

Keywords

  • Air pollution
  • External GPS device
  • GPS tracking
  • Smartphone app
  • Time-activity diaries
  • Tracking campaign design

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