Improving estimates of air pollution exposure through ubiquitous sensing technologies.

Improving estimates of air pollution exposure through ubiquitous sensing technologies.
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DOI:
10.1016/j.envpol.2012.12.032
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发表时间:
2013-05
影响因子:
8.9
通讯作者:
Jerrett, Michael
Jerrett, Michael
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
de Nazelle, Audrey;Seto, Edmund;Donaire-Gonzalez, David;Mendez, Michelle;Matamala, Jaume;Nieuwenhuijsen, Mark J.;Jerrett, Michael

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流行病学研究中传统的接触评估方法往往不能综合关于活动模式的重要信息,这可能导致健康影响估计中的偏差、统计功效的丧失或两者兼而有之。与移动的电话集成的新型传感技术提供了减少曝光测量误差的潜力。我们试图证明CalFit智能手机技术的可用性和相关性,以跟踪个人水平的时间,地理位置和身体活动模式,以改善空气污染暴露评估。我们在西班牙巴塞罗那的36名受试者的自由生活人群中部署了配备CalFit的智能手机。所获得的关于体力活动和地理位置的信息与时空空气污染绘图相联系。例如,我们发现平均旅行活动占人们时间的6%,占他们每天吸入的NO2的24%。由于大量的移动的电话用户,这项技术可能提供了一个不引人注目的手段,以低成本收集流行病学暴露数据。
Traditional methods of exposure assessment in epidemiological studies often fail to integrate important information on activity patterns, which may lead to bias, loss of statistical power or both in health effects estimates. Novel sensing technologies integrated with mobile phones offer potential to reduce exposure measurement error. We sought to demonstrate the usability and relevance of the CalFit smartphone technology to track person-level time, geographic location, and physical activity patterns for improved air pollution exposure assessment. We deployed CalFit-equipped smartphones in a free living-population of 36 subjects in Barcelona, Spain. Information obtained on physical activity and geographic location was linked to space-time air pollution mapping. For instance, we found on average travel activities accounted for 6% of people’s time and 24% of their daily inhaled NO2. Due to the large number of mobile phone users, this technology potentially provides an unobtrusive means of collecting epidemiologic exposure data at low cost.
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