百分位
空气污染物
滞后
分布滞后
医学
泊松回归
滞后时间
泊松分布
污染物
时滞
空气污染
环境卫生
人口学
统计
生物
数学
生态学
社会学
生物系统
人口
计算机科学
计算机网络
作者
Zixuan Wang,Xiaofan Li,Ping Hu,Shanpeng Li,Jing Guan,Bingling Wang,Feng Yang,Dongfeng Zhang
标识
DOI:10.1038/s41598-021-00507-z
摘要
Little attention has been paid to the relationship between air pollutants and varicella among adults. We used data collected in Qingdao, China from 2014 to 2019. A combination of quasi-Poisson generalized linear model (GLM) and distributed lag non-linear model (DLNM) was applied to evaluate the association between exposure to air pollutants and varicella. And the effects of exposure to extremely high concentration (at 97.5th percentile) and low concentration (at 2.5th percentile) of air pollutants on varicella were also calculated. The level II of GB3095-2012 was used as the reference. A 10 μg/m3 increase of PM2.5 was significantly associated with an increased risk of varicella (lag day: 4, 5 and 6). The negative associations were found for NO2 per 10 μg/m3 increase from lag 15 to 19 day. The high PM2.5 concentration (135 μg/m3) was significantly associated with the increased risk of varicella (lag day: 6, 7). For NO2, the negative association was found at high concentration (75 μg/m3) on lag 15 to 20 day; and the positive relationship was shown at low concentration (10 μg/m3) on lag 15 to 20 day. Exposure to PM2.5 and NO2 were significantly associated with the risk of varicella among adults.
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