Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China.
Department of Epidemiology and Biostatistics, Zhejiang University School of Public Health, Hangzhou, 310058, China; Department of Epidemiology and Biostatistics, And Cancer Institute of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Environ Pollut. 2021 Jan 1;268(Pt A):115897. doi: 10.1016/j.envpol.2020.115897. Epub 2020 Oct 20.
The coronavirus disease (COVID-19) has become a global public health threaten. A series of strict prevention and control measures were implemented in China, contributing to the improvement of air quality. In this study, we described the trend of air pollutant concentrations and the incidence of COVID-19 during the epidemic and applied generalized additive models (GAMs) to assess the association between short-term exposure to air pollution and daily confirmed cases of COVID-19 in 235 Chinese cities. Disease progression based on both onset and report dates as well as control measures as potential confounding were considered in the analyses. We found that stringent prevention and control measures intending to mitigate the spread of COVID-19, contributed to a significant decline in the concentrations of air pollutants except ozone (O). Significant positive associations of short-term exposure to air pollutants, including particulate matter with diameters ≤2.5 μm (PM), particulate matter with diameters ≤10 μm (PM), and nitrogen dioxide (NO) with daily new confirmed cases were observed during the epidemic. Per interquartile range (IQR) increase in PM (lag0-15), PM (lag0-15), and NO (lag0-20) were associated with a 7% [95% confidence interval (CI): (4-9)], 6% [95% CI: (3-8)], and 19% [95% CI: (13-24)] increase in the counts of daily onset cases, respectively. Our results suggest that there is a statistically significant association between ambient air pollution and the spread of COVID-19. Thus, the quarantine measures can not only cut off the transmission of virus, but also retard the spread by improving ambient air quality, which might provide implications for the prevention and control of COVID-19.
新型冠状病毒肺炎(COVID-19)已成为全球公共卫生威胁。中国采取了一系列严格的防控措施,促进了空气质量的改善。本研究描述了疫情期间大气污染物浓度变化趋势和 COVID-19 发病情况,应用广义相加模型(GAMs)评估了 235 个中国城市短期暴露于大气污染物与每日 COVID-19 确诊病例之间的关系。分析中考虑了基于发病日期和报告日期的疾病进展以及潜在的混杂控制措施。我们发现,旨在减缓 COVID-19 传播的严格防控措施,导致除臭氧(O)以外的大气污染物浓度显著下降。在疫情期间,短期暴露于大气污染物,包括直径≤2.5μm 的颗粒物(PM)、直径≤10μm 的颗粒物(PM)和二氧化氮(NO)与每日新增确诊病例呈显著正相关。与 PM(lag0-15)、PM(lag0-15)和 NO(lag0-20)的每四分位间距(IQR)增加相关的每日发病病例数分别增加了 7%[95%置信区间(CI):(4-9)]、6%[95%CI:(3-8)]和 19%[95%CI:(13-24)]。我们的研究结果表明,大气污染与 COVID-19 的传播之间存在统计学上的显著关联。因此,隔离措施不仅可以切断病毒的传播,还可以通过改善环境空气质量来减缓传播,这可能对 COVID-19 的防控具有重要意义。