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The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia
The 2020 COVID-19 outbreak in New South Wales (NSW), Australia, followed an unprecedented wildfire season that exposed large populations to wildfire smoke. Wildfires release particulate matter (PM), toxic gases and organic and non-organic chemicals that may be associated with increased incidence of...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532327/ https://www.ncbi.nlm.nih.gov/pubmed/34695471 http://dx.doi.org/10.1016/j.scitotenv.2021.151158 |
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author | Cortes-Ramirez, J. Michael, R.N. Knibbs, L.D. Bambrick, H. Haswell, M.R. Wraith, D. |
author_facet | Cortes-Ramirez, J. Michael, R.N. Knibbs, L.D. Bambrick, H. Haswell, M.R. Wraith, D. |
author_sort | Cortes-Ramirez, J. |
collection | PubMed |
description | The 2020 COVID-19 outbreak in New South Wales (NSW), Australia, followed an unprecedented wildfire season that exposed large populations to wildfire smoke. Wildfires release particulate matter (PM), toxic gases and organic and non-organic chemicals that may be associated with increased incidence of COVID-19. This study estimated the association of wildfire smoke exposure with the incidence of COVID-19 in NSW. A Bayesian mixed-effect regression was used to estimate the association of either the average PM(10) level or the proportion of wildfire burned area as proxies of wildfire smoke exposure with COVID-19 incidence in NSW, adjusting for sociodemographic risk factors. The analysis followed an ecological design using the 129 NSW Local Government Areas (LGA) as the ecological units. A random effects model and a model including the LGA spatial distribution (spatial model) were compared. A higher proportional wildfire burned area was associated with higher COVID-19 incidence in both the random effects and spatial models after adjustment for sociodemographic factors (posterior mean = 1.32 (99% credible interval: 1.05–1.67) and 1.31 (99% credible interval: 1.03–1.65), respectively). No evidence of an association between the average PM(10) level and the COVID-19 incidence was found. LGAs in the greater Sydney and Hunter regions had the highest increase in the risk of COVID-19. This study identified wildfire smoke exposures were associated with increased risk of COVID-19 in NSW. Research on individual responses to specific wildfire airborne particles and pollutants needs to be conducted to further identify the causal links between SARS-Cov-2 infection and wildfire smoke. The identification of LGAs with the highest risk of COVID-19 associated with wildfire smoke exposure can be useful for public health prevention and or mitigation strategies. |
format | Online Article Text |
id | pubmed-8532327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85323272021-10-22 The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia Cortes-Ramirez, J. Michael, R.N. Knibbs, L.D. Bambrick, H. Haswell, M.R. Wraith, D. Sci Total Environ Article The 2020 COVID-19 outbreak in New South Wales (NSW), Australia, followed an unprecedented wildfire season that exposed large populations to wildfire smoke. Wildfires release particulate matter (PM), toxic gases and organic and non-organic chemicals that may be associated with increased incidence of COVID-19. This study estimated the association of wildfire smoke exposure with the incidence of COVID-19 in NSW. A Bayesian mixed-effect regression was used to estimate the association of either the average PM(10) level or the proportion of wildfire burned area as proxies of wildfire smoke exposure with COVID-19 incidence in NSW, adjusting for sociodemographic risk factors. The analysis followed an ecological design using the 129 NSW Local Government Areas (LGA) as the ecological units. A random effects model and a model including the LGA spatial distribution (spatial model) were compared. A higher proportional wildfire burned area was associated with higher COVID-19 incidence in both the random effects and spatial models after adjustment for sociodemographic factors (posterior mean = 1.32 (99% credible interval: 1.05–1.67) and 1.31 (99% credible interval: 1.03–1.65), respectively). No evidence of an association between the average PM(10) level and the COVID-19 incidence was found. LGAs in the greater Sydney and Hunter regions had the highest increase in the risk of COVID-19. This study identified wildfire smoke exposures were associated with increased risk of COVID-19 in NSW. Research on individual responses to specific wildfire airborne particles and pollutants needs to be conducted to further identify the causal links between SARS-Cov-2 infection and wildfire smoke. The identification of LGAs with the highest risk of COVID-19 associated with wildfire smoke exposure can be useful for public health prevention and or mitigation strategies. The Authors. Published by Elsevier B.V. 2022-02-25 2021-10-22 /pmc/articles/PMC8532327/ /pubmed/34695471 http://dx.doi.org/10.1016/j.scitotenv.2021.151158 Text en © 2021 The Authors 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 Cortes-Ramirez, J. Michael, R.N. Knibbs, L.D. Bambrick, H. Haswell, M.R. Wraith, D. The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title | The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title_full | The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title_fullStr | The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title_full_unstemmed | The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title_short | The association of wildfire air pollution with COVID-19 incidence in New South Wales, Australia |
title_sort | association of wildfire air pollution with covid-19 incidence in new south wales, australia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8532327/ https://www.ncbi.nlm.nih.gov/pubmed/34695471 http://dx.doi.org/10.1016/j.scitotenv.2021.151158 |
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