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新冠疫情缓解措施与二氧化氮——德国慕尼黑空气质量的一项准实验研究

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

作者信息

Burns Jacob, Hoffmann Sabine, Kurz Christoph, Laxy Michael, Polus Stephanie, Rehfuess Eva

机构信息

Institute for Medical Information Processing, Biometry, and Epidemiology - IBE, LMU Munich, Germany.

Pettenkofer School of Public Health, Munich, Germany.

出版信息

Atmos Environ (1994). 2021 Feb 1;246:118089. doi: 10.1016/j.atmosenv.2020.118089. Epub 2020 Nov 22.

Abstract

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 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 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 (95% confidence interval: -23.58; 4.90) and 10.02 μg/m (-19.25; -0.79). Using the SC approach we observed reductions of 15.65 μg/m (-27.58; -4.09) and 15.1 μg/m (-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 concentrations in Munich. Taking the 2020 pre-intervention average concentrations as a reference, we observed reductions in NO concentrations of approximately 15-25% and 24-36% at traffic sites, suggesting that reducing traffic may be an effective measure to reduce NO concentrations in heavily trafficked areas by margins which could translate to public health benefits.

摘要

背景

为应对新冠疫情,巴伐利亚州政府于2020年3月16日起宣布了多项新冠疫情缓解措施,这可能导致交通流量减少,进而空气质量得到改善。在本研究中,我们评估了新冠疫情缓解措施对德国慕尼黑二氧化氮浓度的短期影响。

方法

我们采用了两种准实验方法,即对照中断时间序列(c-ITS)方法和合成对照(SC)方法。每种方法都将2020年发生的变化与2014 - 2019年发生的变化进行比较,并考虑了与天气相关的因素和其他潜在混杂因素。我们假设在交通站点二氧化氮浓度下降幅度最大,在城市背景站点下降幅度较小,而在背景站点即使有下降幅度也很小。所有假设以及主要和额外分析均预先定义。我们还进行了事后分析,以确保观察到的效应不是由干预以外的因素导致的。

结果

主要分析在很大程度上支持了我们的假设。具体而言,在两个交通站点,使用c-ITS方法我们观察到二氧化氮浓度分别下降了9.34μg/m³(95%置信区间:-23.58;4.90)和10.02μg/m³(-19.25;-0.79)。使用SC方法,在相同站点我们观察到二氧化氮浓度分别下降了15.65μg/m³(-27.58;-4.09)和15.1μg/m³(-24.82;-9.83)。在城市背景站点和背景站点,我们观察到的效应从较小到无效应不等。额外分析表明,在措施实施后的前两周效应最大,并且3天的滞后干预时间也显示出较大的效应。事后分析表明,至少部分观察到的效应可能归因于干预前空气质量的变化以及2020年1月异常高的浓度。

结论

我们采用两种准实验方法评估了新冠疫情缓解措施对慕尼黑二氧化氮浓度的影响。以2020年干预前的平均浓度为参考,我们观察到交通站点二氧化氮浓度下降了约15 - 25%和24 - 36%,这表明减少交通流量可能是降低交通繁忙地区二氧化氮浓度的有效措施,这可能会带来公共卫生益处。

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