Songtao Wang, Tianyu Liu, Yaqian Su, Jiayuan Hao, Mu Qiao, Suyang Liu
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引用次数: 0
Abstract
This study investigated the association between air pollutant exposure and COVID-19 mortality using a generalized additive model (GAM) with a negative binomial distribution, analyzing data from 45 Chinese cities. The pollutants assessed were nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and particulate matter (PM2.5). Results showed that a 10 µg/m3 increase in NO2 was associated with a 28.3% rise in COVID-19 mortality risk (RR = 1.283, 95% CI: 1.143–1.351). PM2.5 significantly increased mortality risk only in Wuhan (RR = 1.212, 95% CI: 1.110–1.323). In contrast, SO2 and O3 were protective, with O3 reducing mortality risk by up to 11.1% at certain lag periods. Stratified analysis indicated a markedly stronger effect of NO2 in southeastern regions. These findings highlight the need to address air pollution in pandemic preparedness and call for further research on its regional impacts to guide targeted public health interventions.
期刊介绍:
npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols.
The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.