The association between COVID-19 deaths and short-term ambient air pollution/meteorological condition exposure: a retrospective study from Wuhan, China
The association between COVID-19 deaths and short-term ambient air pollution/meteorological condition exposure: a retrospective study from Wuhan, China
复制标题
DOI：
10.1007/s11869-020-00906-7
复制
发表时间：
2020-08-15
影响因子：
5.1
通讯作者：
Xu, Jing
中科院分区：
文献类型：
--
作者：
Jiang, Ying;Xu, Jing
2019冠状病毒病（COVID-19）在中国武汉首次爆发后，已成为全球大流行。然而，目前尚不清楚COVID-19的死亡是否与环境空气污染物或气象条件有关。收集武汉市2020年1月25日至4月7日每日新冠肺炎死亡人数、空气质量指数（AQI）、环境空气污染物浓度和气象变量数据。使用Pearson和泊松回归模型来了解COVID-19死亡与每个危险因素之间的关系。每日COVID-19死亡与AQI呈正相关（斜率= 0.4 +/- 0.09,R-2 = 0.24,p < 0.01）。PM（2.5）是唯一与COVID-19死亡呈正相关的污染物（相对危险度(RR) = 1.079, 95%CI 1.071 ~ 1.086,p < 0.01）。PM10、SO2和CO均与COVID-19死亡呈负相关（p < 0.01）。其中PM（10）和CO的RR最高、最低，分别为0.952 （95%CI 0.945 ~ 0.959）和0.177 （95%CI 0.131 ~ 0.24）。此外，温度与COVID-19死亡呈负相关（RR = 0.861, 95%CI 0.851-0.872,p < 0.01）。相反，日温度范围与COVID-19死亡呈正相关（RR = 1.014, 95%CI 1.003 ~ 1.025,p < 0.05）。数据表明，PM（2.5）和昼夜温度范围与COVID-19死亡人数增加密切相关。
The emergence of coronavirus disease 2019 (COVID-19) has become a worldwide pandemic after its first outbreak in Wuhan, China. However, it remains unclear whether COVID-19 death is linked to ambient air pollutants or meteorological conditions. We collected the daily COVID-19 death number, air quality index (AQI), ambient air pollutant concentrations, and meteorological variables data of Wuhan between Jan 25 and April 7, 2020. The Pearson and Poisson regression models were used accordingly to understand the association between COVID-19 deaths and each risk factor. The daily COVID-19 deaths were positively correlated with AQI (slope = 0.4 +/- 0.09,R-2 = 0.24,p < 0.01). Detailedly, PM(2.5)was the only pollutant exhibiting a positive association (relative risk (RR) = 1.079, 95%CI 1.071-1.086,p < 0.01) with COVID-19 deaths. The PM10, SO2, and CO were all also significantly associated with COVID-19 deaths, but in negative pattern (p < 0.01). Among them, PM(10)and CO had the highest and lowest RR, which equaled to 0.952 (95%CI 0.945-0.959) and 0.177 (95%CI 0.131-0.24), respectively. Additionally, temperature was inversely associated with COVID-19 deaths (RR = 0.861, 95%CI 0.851-0.872,p < 0.01). Contrarily, diurnal temperature range was positively associated with COVID-19 deaths (RR = 1.014, 95%CI 1.003-1.025,p < 0.05). The data suggested that PM(2.5)and diurnal temperature range are tightly associated with increased COVID-19 deaths.