Department of Environmental Health, Center for Public Health, Medical University Vienna, Kinderspitalgasse 15, 1090, Vienna, Austria.
Department of Hygiene, Medical University of Karakalpakstan, Uzbekistan, 230100, Nukus, Uzbekistan.
Wien Klin Wochenschr. 2021 Sep;133(17-18):951-957. doi: 10.1007/s00508-021-01881-4. Epub 2021 May 6.
We performed a time series analysis in Vienna, Austria, investigating the temporal association between daily air pollution (nitrogen dioxide, NO and particulate matter smaller than 10 µm, PM10) concentration and risk of coronavirus disease 2019 (COVID-19) infection and death. Data covering about 2 months (March-April 2020) were retrieved from public databases. Infection risk was defined as the ratio between infected and infectious. In a separate sensitivity analysis different models were applied to estimate the number of infectious people per day. The impact of air pollution was assessed through a linear regression on the natural logarithm of infection risk. Risk of COVID-19 mortality was estimated by Poisson regression. Both pollutants were positively correlated with the risk of infection with the coefficient for NO being 0.032 and for PM10 0.014. That association was significant for the irritant gas (p = 0.012) but not for particles (p = 0.22). Pollutants did not affect COVID-19-related mortality. The study findings might have wider implications on an interaction between air pollution and infectious agents.
我们在奥地利维也纳进行了一项时间序列分析，研究了每日空气污染（二氧化氮和小于 10μm 的颗粒物，PM10）浓度与 2019 年冠状病毒病（COVID-19）感染和死亡风险之间的时间关联。数据来自公共数据库，涵盖了大约 2 个月（2020 年 3 月至 4 月）。感染风险定义为感染人数与可感染人数的比例。在一项单独的敏感性分析中，应用了不同的模型来估计每日可感染人数。通过对感染风险的自然对数进行线性回归来评估空气污染的影响。通过泊松回归估计 COVID-19 死亡率。两种污染物与感染风险呈正相关，二氧化氮的系数为 0.032，PM10 的系数为 0.014。对于刺激性气体（p=0.012），这种关联具有统计学意义，但对于颗粒物质（p=0.22）则没有。污染物对 COVID-19 相关死亡率没有影响。研究结果可能对空气污染与传染性病原体之间的相互作用具有更广泛的影响。
