Improving estimates of air pollution exposure through ubiquitous sensing technologies

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 t...

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Published in	Environmental pollution (1987) Vol. 176; pp. 92 - 99
Main Authors	de Nazelle, Audrey, Seto, Edmund, Donaire-Gonzalez, David, Mendez, Michelle, Matamala, Jaume, Nieuwenhuijsen, Mark J., Jerrett, Michael
Format	Journal Article
Language	English
Published	Kidlington Elsevier Ltd 01.05.2013 Elsevier
Subjects	Activities of Daily Living Activity patterns Adult Air Air pollution Air Pollution - statistics & numerical data analysis Biological and medical sciences Environmental Monitoring Environmental Monitoring - methods Environmental pollutants toxicology epidemiological studies Exposure exposure assessment Female Geographic Information Systems Global positioning system Humans Inhalation Inhalation Exposure Inhalation Exposure - analysis Inhalation Exposure - statistics & numerical data Male Medical sciences methods nitrogen dioxide people physical activity Smartphone Spain statistics & numerical data Toxicology travel Spain Air pollution Exposure Smartphone Activity patterns Global positioning system Inhalation Physical exercise Human Pervasive computing Evaluation GPS system Daily living Public health
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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. [Display omitted] ► We track people's movement and physical activity level using smartphone technology. ► We illustrate use of the technology to assess air pollution exposure and inhalation. ► Data from smartphones are integrated with air quality models. ► Smartphones will be connected to air pollution and other sensors in the future. Great potential for exposure assessment is found in Smartphone technology integrating GPS and accelerometry, and more sensors in the future; we illustrate with an application in air pollution.
AbstractList	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. 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. 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 NO 2 . Due to the large number of mobile phone users, this technology potentially provides an unobtrusive means of collecting epidemiologic exposure data at low cost. 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. [Display omitted] ► We track people's movement and physical activity level using smartphone technology. ► We illustrate use of the technology to assess air pollution exposure and inhalation. ► Data from smartphones are integrated with air quality models. ► Smartphones will be connected to air pollution and other sensors in the future. Great potential for exposure assessment is found in Smartphone technology integrating GPS and accelerometry, and more sensors in the future; we illustrate with an application in air pollution. 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.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.
Author	Donaire-Gonzalez, David Matamala, Jaume de Nazelle, Audrey Mendez, Michelle Jerrett, Michael Nieuwenhuijsen, Mark J. Seto, Edmund
AuthorAffiliation	4 CIBER Epidemiologia y Salud Publica (CIBERESP), Doctor Aiguader, 88, 08003 Barcelona, Spain 5 Environmental Health Sciences, School of Public Health, University of California, Berkeley, 94720, USA 6 Physical Activity and Sports Sciences Department, Fundació Blanquerna, Ramon Llull University, Císter, 34, 08022 Barcelona, Spain 3 IMIM (Hospital del Mar Research Institute), Barcelona, Doctor Aiguader, 88, 08003 Barcelona, Spain 7 Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7561 USA 2 Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader, 88, 08003 Barcelona, Spain 1 Centre for Environmental Policy, Imperial College London, SW7 1NA, UK
AuthorAffiliation_xml	– name: 1 Centre for Environmental Policy, Imperial College London, SW7 1NA, UK – name: 2 Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader, 88, 08003 Barcelona, Spain – name: 4 CIBER Epidemiologia y Salud Publica (CIBERESP), Doctor Aiguader, 88, 08003 Barcelona, Spain – name: 6 Physical Activity and Sports Sciences Department, Fundació Blanquerna, Ramon Llull University, Císter, 34, 08022 Barcelona, Spain – name: 3 IMIM (Hospital del Mar Research Institute), Barcelona, Doctor Aiguader, 88, 08003 Barcelona, Spain – name: 7 Department of Nutrition, Gillings School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7561 USA – name: 5 Environmental Health Sciences, School of Public Health, University of California, Berkeley, 94720, USA
Author_xml	– sequence: 1 givenname: Audrey surname: de Nazelle fullname: de Nazelle, Audrey email: anazelle@imperial.ac.uk, anazelle@gmail.com organization: Centre for Environmental Policy, Imperial College London, London SW7 1NA, UK – sequence: 2 givenname: Edmund surname: Seto fullname: Seto, Edmund organization: Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720, USA – sequence: 3 givenname: David surname: Donaire-Gonzalez fullname: Donaire-Gonzalez, David organization: Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain – sequence: 4 givenname: Michelle surname: Mendez fullname: Mendez, Michelle organization: Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain – sequence: 5 givenname: Jaume surname: Matamala fullname: Matamala, Jaume organization: Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain – sequence: 6 givenname: Mark J. surname: Nieuwenhuijsen fullname: Nieuwenhuijsen, Mark J. organization: Centre for Research in Environmental Epidemiology (CREAL), Parc de Recerca Biomèdica de Barcelona, Doctor Aiguader 88, 08003 Barcelona, Spain – sequence: 7 givenname: Michael surname: Jerrett fullname: Jerrett, Michael organization: Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720, USA
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Keywords	Air pollution Exposure Smartphone Activity patterns Global positioning system Inhalation Physical exercise Human Pervasive computing Evaluation GPS system Daily living Public health
Language	English
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Notes	http://dx.doi.org/10.1016/j.envpol.2012.12.032 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Present address: Centre for Environmental Policy, Imperial College London, South Kensington Campus, London SW7 2AZ, UK.
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PublicationPlace	Kidlington
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PublicationTitle	Environmental pollution (1987)
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Snippet	Traditional methods of exposure assessment in epidemiological studies often fail to integrate important information on activity patterns, which may lead to...
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SubjectTerms	Activities of Daily Living Activity patterns Adult Air Air pollution Air Pollution - statistics & numerical data analysis Biological and medical sciences Environmental Monitoring Environmental Monitoring - methods Environmental pollutants toxicology epidemiological studies Exposure exposure assessment Female Geographic Information Systems Global positioning system Humans Inhalation Inhalation Exposure Inhalation Exposure - analysis Inhalation Exposure - statistics & numerical data Male Medical sciences methods nitrogen dioxide people physical activity Smartphone Spain statistics & numerical data Toxicology travel
Title	Improving estimates of air pollution exposure through ubiquitous sensing technologies
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