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Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France
BACKGROUND: The outbreak of coronavirus disease (COVID-19) began in Wuhan, China in December 2019 and was declared a global pandemic on 11 March 2020. This study aimed to assess the effects of temperature and long-term exposure to air pollution on the COVID-19 mortality rate at the sub-national leve...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420152/ https://www.ncbi.nlm.nih.gov/pubmed/34488764 http://dx.doi.org/10.1186/s12940-021-00784-1 |
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author | Tchicaya, Anastase Lorentz, Nathalie Omrani, Hichem de Lanchy, Gaetan Leduc, Kristell |
author_facet | Tchicaya, Anastase Lorentz, Nathalie Omrani, Hichem de Lanchy, Gaetan Leduc, Kristell |
author_sort | Tchicaya, Anastase |
collection | PubMed |
description | BACKGROUND: The outbreak of coronavirus disease (COVID-19) began in Wuhan, China in December 2019 and was declared a global pandemic on 11 March 2020. This study aimed to assess the effects of temperature and long-term exposure to air pollution on the COVID-19 mortality rate at the sub-national level in France. METHODS: This cross-sectional study considered different periods of the COVID-19 pandemic from May to December 2020. It included 96 departments (or NUTS 3) in mainland France. Data on long-term exposure to particulate matter (PM(2.5)), annual mean temperature, health services, health risk, and socio-spatial factors were used as covariates in negative binomial regression analysis to assess their influence on the COVID-19 mortality rate. All data were obtained from open-access sources. RESULTS: The cumulative COVID-19 mortality rate by department increased during the study period in metropolitan France—from 19.8/100,000 inhabitants (standard deviation (SD): 20.1) on 1 May 2020, to 65.4/100,000 inhabitants (SD: 39.4) on 31 December 2020. The rate was the highest in the departments where the annual average of long-term exposure to PM(2.5) was high. The negative binomial regression models showed that a 1 μg/m(3) increase in the annual average PM(2.5) concentration was associated with a statistically significant increase in the COVID-19 mortality rate, corresponding to 24.4%, 25.8%, 26.4%, 26.7%, 27.1%, 25.8%, and 15.1% in May, June, July, August, September, October, and November, respectively. This association was no longer significant on 1 and 31 December 2020. The association between temperature and the COVID-19 mortality rate was only significant on 1 November, 1 December, and 31 December 2020. An increase of 1 °C in the average temperature was associated with a decrease in the COVID-19-mortality rate, corresponding to 9.7%, 13.3%, and 14.5% on 1 November, 1 December, and 31 December 2020, respectively. CONCLUSION: This study found significant associations between the COVID-19 mortality rate and long-term exposure to air pollution and temperature. However, these associations tended to decrease with the persistence of the pandemic and massive spread of the disease across the entire country. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00784-1. |
format | Online Article Text |
id | pubmed-8420152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84201522021-09-07 Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France Tchicaya, Anastase Lorentz, Nathalie Omrani, Hichem de Lanchy, Gaetan Leduc, Kristell Environ Health Research BACKGROUND: The outbreak of coronavirus disease (COVID-19) began in Wuhan, China in December 2019 and was declared a global pandemic on 11 March 2020. This study aimed to assess the effects of temperature and long-term exposure to air pollution on the COVID-19 mortality rate at the sub-national level in France. METHODS: This cross-sectional study considered different periods of the COVID-19 pandemic from May to December 2020. It included 96 departments (or NUTS 3) in mainland France. Data on long-term exposure to particulate matter (PM(2.5)), annual mean temperature, health services, health risk, and socio-spatial factors were used as covariates in negative binomial regression analysis to assess their influence on the COVID-19 mortality rate. All data were obtained from open-access sources. RESULTS: The cumulative COVID-19 mortality rate by department increased during the study period in metropolitan France—from 19.8/100,000 inhabitants (standard deviation (SD): 20.1) on 1 May 2020, to 65.4/100,000 inhabitants (SD: 39.4) on 31 December 2020. The rate was the highest in the departments where the annual average of long-term exposure to PM(2.5) was high. The negative binomial regression models showed that a 1 μg/m(3) increase in the annual average PM(2.5) concentration was associated with a statistically significant increase in the COVID-19 mortality rate, corresponding to 24.4%, 25.8%, 26.4%, 26.7%, 27.1%, 25.8%, and 15.1% in May, June, July, August, September, October, and November, respectively. This association was no longer significant on 1 and 31 December 2020. The association between temperature and the COVID-19 mortality rate was only significant on 1 November, 1 December, and 31 December 2020. An increase of 1 °C in the average temperature was associated with a decrease in the COVID-19-mortality rate, corresponding to 9.7%, 13.3%, and 14.5% on 1 November, 1 December, and 31 December 2020, respectively. CONCLUSION: This study found significant associations between the COVID-19 mortality rate and long-term exposure to air pollution and temperature. However, these associations tended to decrease with the persistence of the pandemic and massive spread of the disease across the entire country. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12940-021-00784-1. BioMed Central 2021-09-06 /pmc/articles/PMC8420152/ /pubmed/34488764 http://dx.doi.org/10.1186/s12940-021-00784-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tchicaya, Anastase Lorentz, Nathalie Omrani, Hichem de Lanchy, Gaetan Leduc, Kristell Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title | Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title_full | Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title_fullStr | Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title_full_unstemmed | Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title_short | Impact of long-term exposure to PM(2.5) and temperature on coronavirus disease mortality: observed trends in France |
title_sort | impact of long-term exposure to pm(2.5) and temperature on coronavirus disease mortality: observed trends in france |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8420152/ https://www.ncbi.nlm.nih.gov/pubmed/34488764 http://dx.doi.org/10.1186/s12940-021-00784-1 |
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