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Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States
It has been posited that populations being exposed to long-term air pollution are more susceptible to COVID-19. Evidence is emerging that long-term exposure to ambient PM(2.5) (particulate matter with aerodynamic diameter 2.5 μm or less) associates with higher COVID-19 mortality rates, but whether i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651233/ https://www.ncbi.nlm.nih.gov/pubmed/33250247 http://dx.doi.org/10.1016/j.scitotenv.2020.143391 |
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author | Chakrabarty, Rajan K. Beeler, Payton Liu, Pai Goswami, Spondita Harvey, Richard D. Pervez, Shamsh van Donkelaar, Aaron Martin, Randall V. |
author_facet | Chakrabarty, Rajan K. Beeler, Payton Liu, Pai Goswami, Spondita Harvey, Richard D. Pervez, Shamsh van Donkelaar, Aaron Martin, Randall V. |
author_sort | Chakrabarty, Rajan K. |
collection | PubMed |
description | It has been posited that populations being exposed to long-term air pollution are more susceptible to COVID-19. Evidence is emerging that long-term exposure to ambient PM(2.5) (particulate matter with aerodynamic diameter 2.5 μm or less) associates with higher COVID-19 mortality rates, but whether it also associates with the speed at which the disease is capable of spreading in a population is unknown. Here, we establish the association between long-term exposure to ambient PM(2.5) in the United States (US) and COVID-19 basic reproduction ratio R(0)– a dimensionless epidemic measure of the rapidity of disease spread through a population. We inferred state-level R(0) values using a state-of-the-art susceptible, exposed, infected, and recovered (SEIR) model initialized with COVID-19 epidemiological data corresponding to the period March 2–April 30. This period was characterized by a rapid surge in COVID-19 cases across the US states, implementation of strict social distancing measures, and a significant drop in outdoor air pollution. We find that an increase of 1 μg/m(3) in PM(2.5) levels below current national ambient air quality standards associates with an increase of 0.25 in R(0) (95% CI: 0.048–0.447). A 10% increase in secondary inorganic composition, sulfate-nitrate-ammonium, in PM(2.5) associates with ≈10% increase in R(0) by 0.22 (95% CI: 0.083–0.352), and presence of black carbon (soot) in the ambient environment moderates this relationship. We considered several potential confounding factors in our analysis, including gaseous air pollutants and socio-economical and meteorological conditions. Our results underscore two policy implications – first, regulatory standards need to be better guided by exploring the concentration-response relationships near the lower end of the PM(2.5) air quality distribution; and second, pollution regulations need to be continually enforced for combustion emissions that largely determine secondary inorganic aerosol formation. |
format | Online Article Text |
id | pubmed-7651233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76512332020-11-10 Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States Chakrabarty, Rajan K. Beeler, Payton Liu, Pai Goswami, Spondita Harvey, Richard D. Pervez, Shamsh van Donkelaar, Aaron Martin, Randall V. Sci Total Environ Article It has been posited that populations being exposed to long-term air pollution are more susceptible to COVID-19. Evidence is emerging that long-term exposure to ambient PM(2.5) (particulate matter with aerodynamic diameter 2.5 μm or less) associates with higher COVID-19 mortality rates, but whether it also associates with the speed at which the disease is capable of spreading in a population is unknown. Here, we establish the association between long-term exposure to ambient PM(2.5) in the United States (US) and COVID-19 basic reproduction ratio R(0)– a dimensionless epidemic measure of the rapidity of disease spread through a population. We inferred state-level R(0) values using a state-of-the-art susceptible, exposed, infected, and recovered (SEIR) model initialized with COVID-19 epidemiological data corresponding to the period March 2–April 30. This period was characterized by a rapid surge in COVID-19 cases across the US states, implementation of strict social distancing measures, and a significant drop in outdoor air pollution. We find that an increase of 1 μg/m(3) in PM(2.5) levels below current national ambient air quality standards associates with an increase of 0.25 in R(0) (95% CI: 0.048–0.447). A 10% increase in secondary inorganic composition, sulfate-nitrate-ammonium, in PM(2.5) associates with ≈10% increase in R(0) by 0.22 (95% CI: 0.083–0.352), and presence of black carbon (soot) in the ambient environment moderates this relationship. We considered several potential confounding factors in our analysis, including gaseous air pollutants and socio-economical and meteorological conditions. Our results underscore two policy implications – first, regulatory standards need to be better guided by exploring the concentration-response relationships near the lower end of the PM(2.5) air quality distribution; and second, pollution regulations need to be continually enforced for combustion emissions that largely determine secondary inorganic aerosol formation. Elsevier B.V. 2021-03-15 2020-11-09 /pmc/articles/PMC7651233/ /pubmed/33250247 http://dx.doi.org/10.1016/j.scitotenv.2020.143391 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chakrabarty, Rajan K. Beeler, Payton Liu, Pai Goswami, Spondita Harvey, Richard D. Pervez, Shamsh van Donkelaar, Aaron Martin, Randall V. Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title | Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title_full | Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title_fullStr | Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title_full_unstemmed | Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title_short | Ambient PM(2.5) exposure and rapid spread of COVID-19 in the United States |
title_sort | ambient pm(2.5) exposure and rapid spread of covid-19 in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7651233/ https://www.ncbi.nlm.nih.gov/pubmed/33250247 http://dx.doi.org/10.1016/j.scitotenv.2020.143391 |
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