Effects of Dust Event Days on Influenza: Evidence from Arid Environments in Lanzhou

Effects of Dust Event Days on Influenza: Evidence from Arid Environments in Lanzhou
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沙尘事件日对流感的影响:来自兰州干旱环境的证据

DOI:
10.4209/aaqr.220282
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发表时间:
2022
影响因子:
4
通讯作者:
Bin Luo
Bin Luo
中科院分区:
环境科学与生态学4区
文献类型:
--
作者:
Ling Zhang;Sheng Li;Bo Wang;Ce Liu;Li He;Xiaobing Shan;Kai Zhang;Bin Luo

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空气中的气溶胶被认为是COVID-19和流感等传染病传播的重要途径。然而,沙尘天气对流感的影响很少被探索,特别是在干旱环境中。本研究探讨了环境颗粒物(PM)和灰尘事件对实验室确认的流感在半干旱城市的影响。对2014年至2019年中国兰州市每日实验室确诊的流感(流感)病例、PM(PM10和PM2.5)、气象参数和沙尘事件进行了描述性分析。采用病例交叉设计结合条件Poisson回归模型估计PM和沙尘事件对流感的滞后效应。此外,一个层次模型被用来定量评估PM与环境温度和绝对湿度对流感的交互作用。我们发现PM和沙尘事件对流感有显著影响。PM10和PM2.5对流感的影响随累积滞后天数的增加而增强。最大估计相对危险度(RR)分别为1.018(1.011,1.024)和1.061(1.034,1.087)。与非沙尘日相比,持续时间≥ 1 d和≥ 2 d的沙尘事件对流感的影响在lag 0 d时最强,估计RR分别为1.245(95%CI:1.061-1.463)和1.483(95%CI:1.232-1.784)。亚组分析表明,学龄前儿童和学龄儿童对PM和粉尘事件暴露更为敏感。此外,我们还发现低湿度和低温度与PM有交互作用,加剧了流感的风险。总之,环境PM和粉尘事件暴露可能会增加流感的风险,并且流感的风险随着粉尘事件持续时间的增加而增加。因此,政府和个人应加强努力,以减少PM对流感的影响,特别是在寒冷和干燥的天气。
Airborne aerosol is believed to be an important pathway for infectious disease transmissions like COVID-19 and influenza. However, the effects of dust event days on influenza have been rarely explored, particularly in arid environments. This study explores the effects of ambient particulate matter (PM) and dust events on laboratory-confirmed influenza in a semi-arid city. A descriptive analysis of daily laboratory-confirmed influenza (influenza) cases, PM (PM10 and PM2.5), meteorological parameters, and dust events were conducted from 2014 to 2019 in Lanzhou, China. The case-crossover design combined with conditional Poisson regression models was used to estimate the lagging effects of PM and dust events on influenza. In addition, a hierarchical model was used to quantitatively evaluate the interactive effect of PM with ambient temperature and absolute humidity on influenza. We found that PM and dust events had a significant effect on influenza. The effects of PM10 and PM2.5 on influenza became stronger as the cumulative lag days increased. The greatest estimated relative risks (RRs) were 1.018 (1.011,1.024) and 1.061 (1.034,1.087), respectively. Compared with the non-dust days, the effects of dust events with duration ≥ 1 day and with duration ≥ 2 days on influenza were the strongest at lag0 day, with the estimated RRs of 1.245 (95% CI: 1.061–1.463) and 1.483 (95% CI: 1.232–1.784), respectively. Subgroup analysis showed that pre-school children and school-aged children were more sensitive to PM and dust events exposure. Besides, we also found that low humidity and temperature had an interaction with PM to aggravate the risk of influenza. In summary, ambient PM and dust events exposure may increase the risk of influenza, and the risk of influenza increases with the dust events duration. Therefore, more efforts from the government as well as individuals should be strengthened to reduce the effect of PM on influenza, particularly in cold and dry weather.
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