Department of Environmental Science and Engineering, Sichuan University, Chengdu, Sichuan, 610065, China.
Chongqing Center for Disease Control and Prevention, Chongqing, China.
Environ Res. 2020 Oct;189:109926. doi: 10.1016/j.envres.2020.109926. Epub 2020 Jul 12.
While accumulating evidence shows that air pollution exposure is an important risk factor to influenza prevalence, their association has been inadequately investigated in mountainous regions with dense populations and high humidity. We aim to estimate the association and exposure-outcome effects between exposure to nitrogen dioxide (NO) and influenza prevalence in a mountainous region with a dense population and high humidity. We investigated 14,993 patients with confirmed influenza cases from January 2013 to December 2017 in Chongqing, a mountainous city in southwest China. We developed distributed lag non-linear models with quasi-Poisson link to take into account the lag and non-linear effects of NO exposure on influenza prevalence. We estimated that the cumulative effect of a 10 μg/m increase in NO with seven-day lag (i.e., summing all the contributions up to seven days) corresponded to relative risk of 1.24 (95% CI: 1.17-1.31) in daily influenza prevalence. Comparing to annual mean of the World Health Organization air quality guidelines of 40 μg/m for NO, we estimated that 14.01% (95% CI: 10.69-17.08%) of the influenza cases were attributable to excessive NO exposure. Our results suggest that NO exposure could worsen the risk of influenza infection in this mountainous city, filling the gap of relevant researches in densely populated and mountainous cities. Our findings provide evidence for developing influenza surveillance and early warning systems.
虽然越来越多的证据表明,空气污染暴露是流感流行的一个重要危险因素,但在人口密集、湿度高的山区,它们之间的关联尚未得到充分研究。我们旨在评估在人口密集、湿度高的山区,二氧化氮(NO)暴露与流感流行之间的关联和暴露-结局效应。我们调查了 2013 年 1 月至 2017 年 12 月期间中国西南部山区重庆市的 14993 例确诊流感病例。我们开发了分布式滞后非线性模型,采用拟泊松链接来考虑 NO 暴露对流感流行的滞后和非线性影响。我们估计,NO 暴露每增加 10μg/m,滞后 7 天(即累计所有贡献至 7 天),流感每日发病率的相对风险为 1.24(95%CI:1.17-1.31)。与世界卫生组织关于 NO 的空气质量指南的年平均水平 40μg/m 相比,我们估计有 14.01%(95%CI:10.69-17.08%)的流感病例归因于过量的 NO 暴露。我们的研究结果表明,NO 暴露可能会加重这座山区城市流感感染的风险,填补了人口密集、山区城市相关研究的空白。我们的研究结果为开发流感监测和预警系统提供了证据。