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Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()

A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of the pandemic. Using COVID-19 deaths identified f...

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Autores principales: Garcia, Erika, Marian, Brittney, Chen, Zhanghua, Li, Kenan, Lurmann, Fred, Gilliland, Frank, Eckel, Sandrah P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529382/
https://www.ncbi.nlm.nih.gov/pubmed/34688723
http://dx.doi.org/10.1016/j.envpol.2021.118396
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author Garcia, Erika
Marian, Brittney
Chen, Zhanghua
Li, Kenan
Lurmann, Fred
Gilliland, Frank
Eckel, Sandrah P.
author_facet Garcia, Erika
Marian, Brittney
Chen, Zhanghua
Li, Kenan
Lurmann, Fred
Gilliland, Frank
Eckel, Sandrah P.
author_sort Garcia, Erika
collection PubMed
description A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of the pandemic. Using COVID-19 deaths identified from death certificates in California, we evaluated whether long-term ambient air pollution was related to weekly COVID-19 mortality at the census tract-level during the first ∼12 months of the pandemic. Weekly COVID-19 mortality for each census tract was calculated based on geocoded death certificate data. Annual average concentrations of ambient particulate matter <2.5 μm (PM(2.5)) and <10 μm (PM(10)), nitrogen dioxide (NO(2)), and ozone (O(3)) over 2014–2019 were assessed for all census tracts using inverse distance-squared weighting based on data from the ambient air quality monitoring system. Negative binomial mixed models related weekly census tract COVID-19 mortality counts to a natural cubic spline for calendar week. We included adjustments for potential confounders (census tract demographic and socioeconomic factors), random effects for census tract and county, and an offset for census tract population. Data were analyzed as two study periods: Spring/Summer (March 16-October 18, 2020) and Winter (October 19, 2020–March 7, 2021). Mean (standard deviation) concentrations were 10.3 (2.1) μg/m(3) for PM(2.5), 25.5 (7.1) μg/m(3) for PM(10), 11.3 (4.0) ppb for NO(2), and 42.8 (6.9) ppb for O(3). For Spring/Summer, adjusted rate ratios per standard deviation increase were 1.13 (95% confidence interval: 1.09, 1.17) for PM(2.5), 1.16 (1.11, 1.21) for PM(10), 1.06 (1.02, 1.10) for NO(2), and 1.09 (1.04, 1.14) for O(3). Associations were replicated in Winter, although they were attenuated for PM(2.5) and PM(10). Study findings support a relation between long-term ambient air pollution exposure and COVID-19 mortality. Communities with historically high pollution levels might be at higher risk of COVID-19 mortality.
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spelling pubmed-85293822021-10-21 Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19() Garcia, Erika Marian, Brittney Chen, Zhanghua Li, Kenan Lurmann, Fred Gilliland, Frank Eckel, Sandrah P. Environ Pollut Article A growing number of studies report associations between air pollution and COVID-19 mortality. Most were ecological studies at the county or regional level which disregard important local variability and relied on data from only the first few months of the pandemic. Using COVID-19 deaths identified from death certificates in California, we evaluated whether long-term ambient air pollution was related to weekly COVID-19 mortality at the census tract-level during the first ∼12 months of the pandemic. Weekly COVID-19 mortality for each census tract was calculated based on geocoded death certificate data. Annual average concentrations of ambient particulate matter <2.5 μm (PM(2.5)) and <10 μm (PM(10)), nitrogen dioxide (NO(2)), and ozone (O(3)) over 2014–2019 were assessed for all census tracts using inverse distance-squared weighting based on data from the ambient air quality monitoring system. Negative binomial mixed models related weekly census tract COVID-19 mortality counts to a natural cubic spline for calendar week. We included adjustments for potential confounders (census tract demographic and socioeconomic factors), random effects for census tract and county, and an offset for census tract population. Data were analyzed as two study periods: Spring/Summer (March 16-October 18, 2020) and Winter (October 19, 2020–March 7, 2021). Mean (standard deviation) concentrations were 10.3 (2.1) μg/m(3) for PM(2.5), 25.5 (7.1) μg/m(3) for PM(10), 11.3 (4.0) ppb for NO(2), and 42.8 (6.9) ppb for O(3). For Spring/Summer, adjusted rate ratios per standard deviation increase were 1.13 (95% confidence interval: 1.09, 1.17) for PM(2.5), 1.16 (1.11, 1.21) for PM(10), 1.06 (1.02, 1.10) for NO(2), and 1.09 (1.04, 1.14) for O(3). Associations were replicated in Winter, although they were attenuated for PM(2.5) and PM(10). Study findings support a relation between long-term ambient air pollution exposure and COVID-19 mortality. Communities with historically high pollution levels might be at higher risk of COVID-19 mortality. Elsevier Ltd. 2022-01-01 2021-10-21 /pmc/articles/PMC8529382/ /pubmed/34688723 http://dx.doi.org/10.1016/j.envpol.2021.118396 Text en © 2021 Elsevier Ltd. 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
Garcia, Erika
Marian, Brittney
Chen, Zhanghua
Li, Kenan
Lurmann, Fred
Gilliland, Frank
Eckel, Sandrah P.
Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title_full Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title_fullStr Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title_full_unstemmed Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title_short Long-term air pollution and COVID-19 mortality rates in California: Findings from the Spring/Summer and Winter surges of COVID-19()
title_sort long-term air pollution and covid-19 mortality rates in california: findings from the spring/summer and winter surges of covid-19()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529382/
https://www.ncbi.nlm.nih.gov/pubmed/34688723
http://dx.doi.org/10.1016/j.envpol.2021.118396
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