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Air Quality Enhancement Districts: democratizing data to improve respiratory health
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861584/ https://www.ncbi.nlm.nih.gov/pubmed/33564611 http://dx.doi.org/10.1007/s13412-021-00670-9 |
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author | Stevens, Kelly A. Bryer, Thomas A. Yu, Haofei |
author_facet | Stevens, Kelly A. Bryer, Thomas A. Yu, Haofei |
author_sort | Stevens, Kelly A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7861584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-78615842021-02-05 Air Quality Enhancement Districts: democratizing data to improve respiratory health Stevens, Kelly A. Bryer, Thomas A. Yu, Haofei J Environ Stud Sci Policy Analysis 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. Springer US 2021-02-04 2021 /pmc/articles/PMC7861584/ /pubmed/33564611 http://dx.doi.org/10.1007/s13412-021-00670-9 Text en © AESS 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Policy Analysis Stevens, Kelly A. Bryer, Thomas A. Yu, Haofei Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title | Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title_full | Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title_fullStr | Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title_full_unstemmed | Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title_short | Air Quality Enhancement Districts: democratizing data to improve respiratory health |
title_sort | air quality enhancement districts: democratizing data to improve respiratory health |
topic | Policy Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861584/ https://www.ncbi.nlm.nih.gov/pubmed/33564611 http://dx.doi.org/10.1007/s13412-021-00670-9 |
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