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Improving Estimates of Air Pollution Exposure through Ubiquitous Sensing Technologies

Citation

de Nazelle, Audrey; Seto, Edmund Y. W.; Donaire-Gonzalez, David; Mendez, Michelle A.; Matamala, Jaume; Nieuwenhuijsen, Mark J.; & Jerrett, Michael (2013). Improving Estimates of Air Pollution Exposure through Ubiquitous Sensing Technologies. Environmental Pollution, 176, 92-99. PMCID: PMC3600144

Abstract

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. We found that information from CalFit could substantially alter exposure estimates. For instance, 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 enhancing epidemiologic exposure data at low cost.

URL

http://dx.doi.org/10.1016/j.envpol.2012.12.032

Reference Type

Journal Article

Year Published

2013

Journal Title

Environmental Pollution

Author(s)

de Nazelle, Audrey
Seto, Edmund Y. W.
Donaire-Gonzalez, David
Mendez, Michelle A.
Matamala, Jaume
Nieuwenhuijsen, Mark J.
Jerrett, Michael

PMCID

PMC3600144