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Air Quality Enhancement Districts: democratizing data to improve respiratory health

Author

Listed:
  • Kelly A. Stevens

    (School of Public Administration)

  • Thomas A. Bryer

    (School of Public Administration)

  • Haofei Yu

    (University of Central Florida)

Abstract

The U.S. Centers for Disease Control and Prevention has recently acknowledged that the principal mode for SARS-CoV-2 (the virus that causes COVID-19) to spread is through airborne particles. Reducing levels of particulate matter, a form of air pollutant, may decrease the spread of the virus and save lives. In this article, we propose establishing local Air Quality Enhancement Districts using low-cost air quality sensors. Air quality sensors provide more detailed data on particulate matter concentrations than what is currently provided by the U.S. Environmental Protection Agency, which will allow communities and individuals to make better informed decisions about activities during poor air quality days. The core principles behind local Air Quality Enhancement Districts is to (1) provide citizens with more localized data on air quality, (2) raise awareness on localized pollution and health impacts related to COVID-19, and (3) empower citizens and local governments to take quick actions to reduce exposure and respiratory distress during times of poor air quality.

Suggested Citation

  • Kelly A. Stevens & Thomas A. Bryer & Haofei Yu, 2021. "Air Quality Enhancement Districts: democratizing data to improve respiratory health," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 11(4), pages 702-707, December.
    • Handle: RePEc:spr:jenvss:v:11:y:2021:i:4:d:10.1007_s13412-021-00670-9
    DOI: 10.1007/s13412-021-00670-9
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    1. Yuan Liu & Zhi Ning & Yu Chen & Ming Guo & Yingle Liu & Nirmal Kumar Gali & Li Sun & Yusen Duan & Jing Cai & Dane Westerdahl & Xinjin Liu & Ke Xu & Kin-fai Ho & Haidong Kan & Qingyan Fu & Ke Lan, 2020. "Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals," Nature, Nature, vol. 582(7813), pages 557-560, June.
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    2. Alessio Russo & Wing Tung Chan & Giuseppe T. Cirella, 2021. "Estimating Air Pollution Removal and Monetary Value for Urban Green Infrastructure Strategies Using Web-Based Applications," Land, MDPI, vol. 10(8), pages 1-17, July.

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