Literature DB >> 28667855

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

Michael Jerrett1, David Donaire-Gonzalez2, Olalekan Popoola3, Roderic Jones4, Ronald C Cohen5, Estela Almanza6, Audrey de Nazelle7, Iq Mead8, Glòria Carrasco-Turigas9, Tom Cole-Hunter10, Margarita Triguero-Mas11, Edmund Seto12, Mark Nieuwenhuijsen13.   

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CO; Exposure; Low cost; NO; NO(2); Personal air pollution sensor

Mesh:

Substances:

Year:  2017        PMID: 28667855     DOI: 10.1016/j.envres.2017.04.023

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  17 in total

1.  Mapping urban air quality using mobile sampling with low-cost sensors and machine learning in Seoul, South Korea.

Authors:  Chris C Lim; Ho Kim; M J Ruzmyn Vilcassim; George D Thurston; Terry Gordon; Lung-Chi Chen; Kiyoung Lee; Michael Heimbinder; Sun-Young Kim
Journal:  Environ Int       Date:  2019-07-27       Impact factor: 9.621

Review 2.  Applications of low-cost sensing technologies for air quality monitoring and exposure assessment: How far have they gone?

Authors:  Lidia Morawska; Phong K Thai; Xiaoting Liu; Akwasi Asumadu-Sakyi; Godwin Ayoko; Alena Bartonova; Andrea Bedini; Fahe Chai; Bryce Christensen; Matthew Dunbabin; Jian Gao; Gayle S W Hagler; Rohan Jayaratne; Prashant Kumar; Alexis K H Lau; Peter K K Louie; Mandana Mazaheri; Zhi Ning; Nunzio Motta; Ben Mullins; Md Mahmudur Rahman; Zoran Ristovski; Mahnaz Shafiei; Dian Tjondronegoro; Dane Westerdahl; Ron Williams
Journal:  Environ Int       Date:  2018-04-26       Impact factor: 9.621

3.  Using Gas-Phase Air Quality Sensors to Disentangle Potential Sources in a Los Angeles Neighborhood.

Authors:  Ashley Collier-Oxandale; Nicole Wong; Sandy Navarro; Jill Johnston; Michael Hannigan
Journal:  Atmos Environ (1994)       Date:  2020-05-06       Impact factor: 4.798

4.  Calibration of low-cost particulate matter sensors: Model development for a multi-city epidemiological study.

Authors:  Marina Zusman; Cooper S Schumacher; Amanda J Gassett; Elizabeth W Spalt; Elena Austin; Timothy V Larson; Graeme Carvlin; Edmund Seto; Joel D Kaufman; Lianne Sheppard
Journal:  Environ Int       Date:  2019-11-26       Impact factor: 9.621

5.  Comparing Building and Neighborhood-Scale Variability of CO₂ and O₃ to Inform Deployment Considerations for Low-Cost Sensor System Use.

Authors:  Ashley Collier-Oxandale; Evan Coffey; Jacob Thorson; Jill Johnston; Michael Hannigan
Journal:  Sensors (Basel)       Date:  2018-04-26       Impact factor: 3.576

6.  End-User Feedback on a Low-Cost Portable Air Quality Sensor System-Are We There Yet?

Authors:  Johanna Amalia Robinson; David Kocman; Milena Horvat; Alena Bartonova
Journal:  Sensors (Basel)       Date:  2018-11-04       Impact factor: 3.576

Review 7.  Disruptive Technologies for Environment and Health Research: An Overview of Artificial Intelligence, Blockchain, and Internet of Things.

Authors:  Frederico M Bublitz; Arlene Oetomo; Kirti S Sahu; Amethyst Kuang; Laura X Fadrique; Pedro E Velmovitsky; Raphael M Nobrega; Plinio P Morita
Journal:  Int J Environ Res Public Health       Date:  2019-10-11       Impact factor: 3.390

8.  Assessment of the Dynamic Exposure to PM2.5 Based on Hourly Cell Phone Location and Land Use Regression Model in Beijing.

Authors:  Junli Liu; Panli Cai; Jin Dong; Junshun Wang; Runkui Li; Xianfeng Song
Journal:  Int J Environ Res Public Health       Date:  2021-05-30       Impact factor: 3.390

9.  Response Characterization of an Inexpensive Aerosol Sensor.

Authors:  Joel Kuula; Timo Mäkelä; Risto Hillamo; Hilkka Timonen
Journal:  Sensors (Basel)       Date:  2017-12-15       Impact factor: 3.576

Review 10.  Multi-Contextual Segregation and Environmental Justice Research: Toward Fine-Scale Spatiotemporal Approaches.

Authors:  Yoo Min Park; Mei-Po Kwan
Journal:  Int J Environ Res Public Health       Date:  2017-10-10       Impact factor: 3.390

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