Air Pollution Is Associated with COVID-19 Incidence and Mortality in Vienna, Austria.
Air Pollution Is Associated with COVID-19 Incidence and Mortality in Vienna, Austria.
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DOI：
10.3390/ijerph17249275
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发表时间：
2020-12-11
影响因子：
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通讯作者：
Kundi M
中科院分区：
文献类型：
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作者：
Hutter HP;Poteser M;Moshammer H;Lemmerer K;Mayer M;Weitensfelder L;Wallner P;Kundi M
我们确定了空气污染对COVID-19相关死亡率和确诊病例发生率的影响，分析了感染病例数和结果与维也纳23个区人口前一年空气污染数据的相关性。当第一例COVID-19病例被诊断出来时，一个地区的风险时间就开始了。高暴露水平被定义为生活在二氧化氮（NO2）和/或颗粒物（PM10）平均浓度（2019年）高于所有地区的上四分位数（分别为30和20 µg/m3）的地区。个别地区的总人口被追踪至确诊或死于COVID-19，或直至2020年4月21日（以先发生者为准）。在控制了65岁及以上人口的百分比、外国人和具有大学学位的人的百分比、失业率和人口密度后，进行了考克斯比例风险回归。PM10和NO2与COVID-19诊断风险显著正相关（风险比（HR）分别为1.44和1.16）。NO2也与COVID-19死亡显著相关（HR = 1.72）。即使在一个城市内，空气污染水平较高也会对COVID-19风险产生不利影响。
We determined the impact of air pollution on COVID-19-related mortality and reported-case incidence, analyzing the correlation of infection case numbers and outcomes with previous-year air pollution data from the populations of 23 Viennese districts. Time at risk started in a district when the first COVID-19 case was diagnosed. High exposure levels were defined as living in a district with an average (year 2019) concentration of nitrogen dioxide (NO2) and/or particulate matter (PM10) higher than the upper quartile (30 and 20 µg/m3, respectively) of all districts. The total population of the individual districts was followed until diagnosis of or death from COVID-19, or until 21 April 2020, whichever came first. Cox proportional hazard regression was performed after controlling for percentage of population aged 65 and more, percentage of foreigners and of persons with a university degree, unemployment rate, and population density. PM10 and NO2 were significantly and positively associated with the risk of a COVID-19 diagnosis (hazard ratio (HR) = 1.44 and 1.16, respectively). NO2 was also significantly associated with death from COVID-19 (HR = 1.72). Even within a single city, higher levels of air pollution are associated with an adverse impact on COVID-19 risk.
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DOI：
10.3390/ijerph17155573
发表时间：
2020-08-01
影响因子：
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作者：
Borro, Marina;Di Girolamo, Paolo;Simmaco, Maurizio
通讯作者：
Simmaco, Maurizio
影响因子：
3.3
作者：
Sagripanti, Jose-Luis;Lytle, C. David
通讯作者：
Lytle, C. David
影响因子：
9.8
作者：
Ogen, Yaron
通讯作者：
Ogen, Yaron
影响因子：
24.3
作者：
Faustini, Annunziata;Stafoggia, Massimo;Forastiere, Francesco
通讯作者：
Forastiere, Francesco
影响因子：
8.9
作者：
Conticini, Edoardo;Frediani, Bruno;Caro, Dario
通讯作者：
Caro, Dario