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

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
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
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引用次数: 0

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.

时空空气污染暴露评估的GPS跟踪方法:比较与研究实施中的挑战。
背景:调查空气污染长期健康影响的流行病学研究通常只考虑参与者的居住地点,从而忽略了可能影响总暴露的时空活动模式。本文是一项研究的一部分,该研究比较了两个跟踪活动中仅住宅和移动整合的暴露,反映了GPS设备选择,隐私和招聘策略。方法:在瑞士和荷兰进行跟踪活动。参与者完成了一份基线问卷,携带GPS设备(SODAQ) 2周,并使用智能手机应用程序记录时间活动日记。这款应用也能追踪GPS,尽管频率较低。轨道与空气污染表面相结合,通过活动量化NO2和PM2.5暴露。结果:在瑞士,参与者从COVCO-Basel队列中招募(招募率33%;1475页中的489页)。在荷兰,随机招聘不成功(1.4%;3000人中的41人)。通过传单和财政激励(25欧元代金券)的定向招募,参与人数增加到189人。智能手机应用程序和SODAQ设备数据的比较显示,在两个研究地区,总二氧化氮暴露和家中二氧化氮暴露之间存在中度至高度相关性(R2 > 0.57)。与活动相关的相关性从0.43到0.63不等。瑞士的PM2.5相关性为中高,但荷兰的相关性较低(R2 = 0.28-0.58),这是由于观察到的PM2.5水平的空间对比较小(RMSE 3)。结论:使用手机app或GPS设备可以有效地进行跟踪。该应用程序的低频GPS读数(每3-4分钟一次)足以进行长期空气污染暴露评估。对于更精细的读数,建议使用专用的GPS设备。跟踪活动对于研究个人暴露于空气污染的情况至关重要,但由于招聘率低和严格的隐私规定,它面临着挑战。利用现有的队列可以改善招募,而有针对性的传单分发和财政激励可以在没有预先招募的群体的情况下提高研究的参与度。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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