Impact of Ambient Air Pollutants on Influenza-like illness, Influenza A and Influenza B: A Nationwide Time-Series Study in China

shenglan xiao, Dina Wang, Yadi Wu, Xi Huang, Qing Zhang, Dayan Wang, Yuelong Shu
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Abstract

Influenza constitutes a critical respiratory infection that imposes significant public health burdens. The precise influence of these pollutants on influenza activity remains unclear. This study aimed to investigate the effects of different air pollutants on the incidence of influenza-like illness (ILI), influenza A (Flu A), and influenza B (Flu B) in China based on nationwide data on air pollution and the influenza data from 554 sentinel hospitals across 30 provinces and municipalities from 2014 to 2017. Distributed Lag Nonlinear Model (DLNM) was employed to discern the lagged effects amid the concentrations of six distinct air pollutants, namely PM2.5, PM10, O , CO, SO , and NO , and the incidence of ILI, Flu A, as well as Flu B. Our analysis indicated that there was generally no distinction in the effects of air pollutants on the incidence of ILI, Flu A, and Flu B, although variations existed in terms of the specific level of risk associated with each of these categories. Specifically, elevated levels of PM2.5, PM10, CO, SO , and NO were predominantly associated with an increased risk of influenza. In contrast, the effect of O concentration on influenza was bidirectional whereby it promoted influenza outbreaks at low and high levels.
环境空气污染物对流感样疾病、甲型流感和乙型流感的影响:中国全国时间序列研究
流感是一种严重的呼吸道感染,对公共卫生造成重大负担。这些污染物对流感活动的确切影响尚不清楚。本研究旨在基于2014 - 2017年全国空气污染数据和30个省市554家定点医院的流感数据,探讨不同空气污染物对中国流感样疾病(ILI)、甲型流感(Flu A)和乙型流感(Flu B)发病率的影响。分布滞后非线性模型(DLNM)是用来辨别滞后效应在六个不同的空气污染物的浓度,即PM2.5, PM10, O,有限公司,所以,不,伊犁的发病率,流感,以及流感B,我们的分析表明,一般没有区别在空气污染物的影响发病率的伊犁,流感A, B和流感,虽然差异存在的具体风险水平与这些类别相关联。具体来说,PM2.5、PM10、CO、SO和NO水平的升高与流感风险的增加主要相关。相反,O浓度对流感的影响是双向的,即它在低水平和高水平上促进流感爆发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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