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COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany

BACKGROUND: In response to the COVID-19 pandemic, the Bavarian State government announced several COVID-19 mitigation measures beginning on March 16, 2020, which likely led to a reduction in traffic and a subsequent improvement in air quality. In this study, we evaluated the short-term effect of COV...

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Autores principales: Burns, Jacob, Hoffmann, Sabine, Kurz, Christoph, Laxy, Michael, Polus, Stephanie, Rehfuess, Eva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680620/
https://www.ncbi.nlm.nih.gov/pubmed/33250657
http://dx.doi.org/10.1016/j.atmosenv.2020.118089
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author Burns, Jacob
Hoffmann, Sabine
Kurz, Christoph
Laxy, Michael
Polus, Stephanie
Rehfuess, Eva
author_facet Burns, Jacob
Hoffmann, Sabine
Kurz, Christoph
Laxy, Michael
Polus, Stephanie
Rehfuess, Eva
author_sort Burns, Jacob
collection PubMed
description BACKGROUND: In response to the COVID-19 pandemic, the Bavarian State government announced several COVID-19 mitigation measures beginning on March 16, 2020, which likely led to a reduction in traffic and a subsequent improvement in air quality. In this study, we evaluated the short-term effect of COVID-19 mitigation measures on NO(2) concentrations in Munich, Germany. METHODS: We applied two quasi-experimental approaches, a controlled interrupted time-series (c-ITS) approach and a synthetic control (SC) approach. Each approach compared changes occurring in 2020 to changes occurring in 2014–2019, and accounted for weather-related and other potential confounders. We hypothesized that the largest reductions in NO(2) concentrations would be observed at traffic sites, with smaller reductions at urban background sites, and even small reductions, if any, at background sites. All hypotheses, as well as the main and additional analyses were defined a priori. We also conducted post-hoc analyses to ensure that observed effects were not due to factors other than the intervention. RESULTS: Main analyses largely supported our hypotheses. Specifically, at the two traffic sites, using the c-ITS approach we observed reductions of 9.34 μg/m(3) (95% confidence interval: −23.58; 4.90) and 10.02 μg/m(3) (−19.25; −0.79). Using the SC approach we observed reductions of 15.65 μg/m(3) (−27.58; −4.09) and 15.1 μg/m(3) (−24.82; −9.83) at these same sites. We observed effects ranging from smaller in magnitude to no effect at urban background and background sites. Additional analyses showed that the effect was largest in the first two weeks following introduction of measures, and that a 3-day lagged intervention time also showed a larger effect. Post-hoc analyses suggested that at least some of the observed effects may have been attributable to changes in air quality occurring before the intervention, as well as unusually high concentrations in January 2020. CONCLUSION: We applied two quasi-experimental approaches in assessing the impact of the COVID-19 mitigation measures on NO(2) concentrations in Munich. Taking the 2020 pre-intervention average concentrations as a reference, we observed reductions in NO(2) concentrations of approximately 15–25% and 24–36% at traffic sites, suggesting that reducing traffic may be an effective measure to reduce NO(2) concentrations in heavily trafficked areas by margins which could translate to public health benefits.
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spelling pubmed-76806202020-11-23 COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany Burns, Jacob Hoffmann, Sabine Kurz, Christoph Laxy, Michael Polus, Stephanie Rehfuess, Eva Atmos Environ (1994) Article BACKGROUND: In response to the COVID-19 pandemic, the Bavarian State government announced several COVID-19 mitigation measures beginning on March 16, 2020, which likely led to a reduction in traffic and a subsequent improvement in air quality. In this study, we evaluated the short-term effect of COVID-19 mitigation measures on NO(2) concentrations in Munich, Germany. METHODS: We applied two quasi-experimental approaches, a controlled interrupted time-series (c-ITS) approach and a synthetic control (SC) approach. Each approach compared changes occurring in 2020 to changes occurring in 2014–2019, and accounted for weather-related and other potential confounders. We hypothesized that the largest reductions in NO(2) concentrations would be observed at traffic sites, with smaller reductions at urban background sites, and even small reductions, if any, at background sites. All hypotheses, as well as the main and additional analyses were defined a priori. We also conducted post-hoc analyses to ensure that observed effects were not due to factors other than the intervention. RESULTS: Main analyses largely supported our hypotheses. Specifically, at the two traffic sites, using the c-ITS approach we observed reductions of 9.34 μg/m(3) (95% confidence interval: −23.58; 4.90) and 10.02 μg/m(3) (−19.25; −0.79). Using the SC approach we observed reductions of 15.65 μg/m(3) (−27.58; −4.09) and 15.1 μg/m(3) (−24.82; −9.83) at these same sites. We observed effects ranging from smaller in magnitude to no effect at urban background and background sites. Additional analyses showed that the effect was largest in the first two weeks following introduction of measures, and that a 3-day lagged intervention time also showed a larger effect. Post-hoc analyses suggested that at least some of the observed effects may have been attributable to changes in air quality occurring before the intervention, as well as unusually high concentrations in January 2020. CONCLUSION: We applied two quasi-experimental approaches in assessing the impact of the COVID-19 mitigation measures on NO(2) concentrations in Munich. Taking the 2020 pre-intervention average concentrations as a reference, we observed reductions in NO(2) concentrations of approximately 15–25% and 24–36% at traffic sites, suggesting that reducing traffic may be an effective measure to reduce NO(2) concentrations in heavily trafficked areas by margins which could translate to public health benefits. The Authors. Published by Elsevier Ltd. 2021-02-01 2020-11-22 /pmc/articles/PMC7680620/ /pubmed/33250657 http://dx.doi.org/10.1016/j.atmosenv.2020.118089 Text en © 2020 The Authors. Published by Elsevier Ltd. 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
Burns, Jacob
Hoffmann, Sabine
Kurz, Christoph
Laxy, Michael
Polus, Stephanie
Rehfuess, Eva
COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title_full COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title_fullStr COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title_full_unstemmed COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title_short COVID-19 mitigation measures and nitrogen dioxide – A quasi-experimental study of air quality in Munich, Germany
title_sort covid-19 mitigation measures and nitrogen dioxide – a quasi-experimental study of air quality in munich, germany
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680620/
https://www.ncbi.nlm.nih.gov/pubmed/33250657
http://dx.doi.org/10.1016/j.atmosenv.2020.118089
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