Department of Biophysics and Radiobiology, Biological Sciences Centre, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Department of Immunology, Aggeu Magalhães Institute (IAM), Oswaldo Cruz Foundation (FIOCRUZ), Recife, Pernambuco, Brazil.
J Glob Health. 2022 Nov 21;12:05043. doi: 10.7189/jogh.12.05043.
Lockdowns have been fundamental to decreasing disease transmission during the COVID-19 pandemic even after vaccines were available. We aimed to evaluate and compare changes in air quality during the first year of the pandemic in different cities around the world, investigate how these changes correlate with changes in mobility, and analyse how lockdowns affected air pollutants' annual means.
We compared the concentrations of NO, PM, and PM in 42 cities around the world in the first months of the pandemic in 2020 to data from 2016-2019 and correlated them with changes in mobility using Human Development Indexes (HDIs). Cities with the highest decreases in air pollutants during this period were evaluated for the whole year 2020. We calculated the annual means for these cities and compared them to the new World Health Organization (WHO) Air Quality Guidelines. A Student's t-test (95% confidence interval) was used to evaluate significant changes.
Highest decreases in NO, PM, and PM were between -50 and -70%. Cities evaluated for the whole year 2020 generally showed a recovery in air pollution levels after the initial months of the pandemic, except for London. These changes positively correlated with year-long mobility indexes for NO and PM for some cities. The highest reductions in air pollutants' annual means were from -20 to -35%. In general, decreases were higher for NO, compared to PM and PM. All analysed cities showed annual means incompliant with the new WHO Air Quality Guidelines for NO of 10 μg/m, with values 1.7 and 4.3 times higher. For PM, all cities showed values 1.3 to 7.6 times higher than the WHO Guidelines of 5 μg/m, except for New Delhi, with a value 18 times higher. For PM, only New York complied with the new guidelines of 15 μg/m and all the other cities were 1.1 to 4.2 times higher, except for New Delhi, which was 11 times higher.
These data show that even during a pandemic that highly affected mobility and economic activities and decreased air pollution around the world, complying with the new WHO Guidelines will demand a global strategical effort in the way we generate energy, move in and around the cities, and manufacture products.
即使在疫苗问世后,封锁措施对于降低 COVID-19 大流行期间的疾病传播仍然至关重要。我们旨在评估和比较全球不同城市在大流行第一年的空气质量变化,调查这些变化与流动性变化的相关性,并分析封锁措施如何影响空气污染物的年平均值。
我们比较了 2020 年大流行的前几个月全球 42 个城市的 NO、PM 和 PM 浓度与 2016-2019 年的数据,并使用人类发展指数 (HDI) 与流动性变化相关联。评估了在此期间空气污染物降幅最大的城市的全年 2020 年数据。我们计算了这些城市的年平均值,并将其与新的世界卫生组织 (WHO) 空气质量指南进行了比较。使用学生 t 检验(95%置信区间)评估显著变化。
NO、PM 和 PM 的降幅最大在-50%至-70%之间。评估全年 2020 年的城市在大流行的最初几个月后,一般显示出空气污染水平的恢复,伦敦除外。这些变化与一些城市的全年流动性指数呈正相关。空气污染物年平均值的最大降幅在-20%至-35%之间。一般来说,NO 的降幅高于 PM 和 PM。所有分析的城市的 NO 年平均值都符合新的 WHO 空气质量指南 10μg/m 的要求,而与 WHO 指南相比,其值分别高出 1.7 倍和 4.3 倍。对于 PM,所有城市的浓度都比 WHO 指南 5μg/m 高出 1.3 至 7.6 倍,除新德里外,其值高出 18 倍。对于 PM,只有纽约符合新的 15μg/m 指南,而所有其他城市的浓度都高出 1.1 至 4.2 倍,除新德里外,其值高出 11 倍。
这些数据表明,即使在大流行严重影响流动性和经济活动并降低全球空气污染的情况下,要符合新的 WHO 指南,我们需要在能源生产、城市内外移动和制造产品的方式上进行全球战略努力。