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      Validating novel air pollution sensors to improve exposure estimates for epidemiological analyses and citizen science.

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          Abstract

          Low cost, personal air pollution sensors may reduce exposure measurement errors in epidemiological investigations and contribute to citizen science initiatives. Here we assess the validity of a low cost personal air pollution sensor. Study participants were drawn from two ongoing epidemiological projects in Barcelona, Spain. Participants repeatedly wore the pollution sensor - which measured carbon monoxide (CO), nitric oxide (NO), and nitrogen dioxide (NO2). We also compared personal sensor measurements to those from more expensive instruments. Our personal sensors had moderate to high correlations with government monitors with averaging times of 1-h and 30-min epochs (r ~ 0.38-0.8) for NO and CO, but had low to moderate correlations with NO2 (~0.04-0.67). Correlations between the personal sensors and more expensive research instruments were higher than with the government monitors. The sensors were able to detect high and low air pollution levels in agreement with expectations (e.g., high levels on or near busy roadways and lower levels in background residential areas and parks). Our findings suggest that the low cost, personal sensors have potential to reduce exposure measurement error in epidemiological studies and provide valid data for citizen science studies.

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          Author and article information

          Journal
          Environ. Res.
          Environmental research
          Elsevier BV
          1096-0953
          0013-9351
          Oct 2017
          : 158
          Affiliations
          [1 ] Department of Environmental Health Science and Center for Occupational and Environmental Health, Fielding School of Public Health, University of California, Los Angeles, United States. Electronic address: mjerrett@ucla.edu.
          [2 ] ISGlobal Barcelona Institute for Global Health - Campus MAR, 08003 Barcelona, Catalonia, Spain. Electronic address: david.donaire@isglobal.org.
          [3 ] Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. Electronic address: oamp2@cam.ac.uk.
          [4 ] Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK. Electronic address: rlj1001@cam.ac.uk.
          [5 ] Department of Chemistry, University of California, Berkeley, 419 Latimer Hall, Berkeley, CA 94720-1460, United States. Electronic address: rccohen@berkeley.edu.
          [6 ] Environmental Health Sciences, School of Public Health, University of California, Berkeley, 50 University Hall, Berkeley, CA 94720-7360, United States. Electronic address: estela.almanza@gmail.com.
          [7 ] Centre for Environmental Policy, Imperial College London, SW7 1NA, UK. Electronic address: anazelle@imperial.ac.uk.
          [8 ] Iq Mead, Department of Chemistry, University of Manchester, UK. Electronic address: iq.mead@manchester.ac.uk.
          [9 ] ISGlobal Barcelona Institute for Global Health - Campus MAR, 08003 Barcelona, Catalonia, Spain. Electronic address: gloria.carrasco@isglobal.org.
          [10 ] ISGlobal Barcelona Institute for Global Health - Campus MAR, 08003 Barcelona, Catalonia, Spain. Electronic address: t.cole-hunter@colostate.edu.
          [11 ] ISGlobal Barcelona Institute for Global Health - Campus MAR, 08003 Barcelona, Catalonia, Spain. Electronic address: margarita.triguero@isglobal.org.
          [12 ] Department of Environmental and Occupational Health, University of Washington, Seattle, WA 98195, United States. Electronic address: eseto@uw.edu.
          [13 ] ISGlobal Barcelona Institute for Global Health - Campus MAR, 08003 Barcelona, Catalonia, Spain. Electronic address: mark.nieuwenhuijsen@isglobal.org.
          Article
          S0013-9351(17)30735-1
          10.1016/j.envres.2017.04.023
          28667855

          CO, NO, Low cost, Exposure, NO(2), Personal air pollution sensor

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