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Short-term effects of ambient air pollution on the incidence of influenza in Wuhan, China: A time-series analysis

机译:环境空气污染对武汉流感发病率的短期影响:时间序列分析

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摘要

Background: Evidence suggests that air pollution is associated with many adverse health outcomes such as cardiovascular diseases (CVD), respiratory diseases, cancer, and birth defects. Yet few studies dig into the relationship between air pollution and airborne infectious diseases. Methods: Daily data on influenza incidence were obtained from Hubei Provincial Center for Disease Control and Prevention (Hubei CDC). Data on air pollutants including nitrogen dioxide (NO_2), sulfur dioxide (SO_2), ground-level ozone (O_3), particulate matter (PM) with aerodynamic diameter < 2.5 μm (PM_(2.5)), and PM with aerodynamic diameter < 10 μm (PM_(10)) were retrieved from ten national air sampling stations located at Wuhan. We applied generalized additive model (GAM) to estimate the associations between air pollution and the risk of influenza in Wuhan, China during 2015-2017. Results: In the single-day lag model, the largest effect estimates were observed at lag 0. An increased relative risk (RR) of influenza was significantly associated with a 10 μg/m~3 increase in SO_2 CRR: 1.099; 95% confidence interval [CI]: 1.011-1.195), NO_2 (RR: 1.039; 95% CI: 1.013-1.065), and O_3 (RR: 1.005; 95% CI: 0.994-1.016), respectively. In the multi-day lag model, concentrations of SO_2, NO_2, and O_3 were statistically significantly associated with the risk of influenza at lag 0-1. The seasonal analysis suggests that the influence of air pollution on influenza is greater in the cold season as compared in the warm season in the early lag days. The multi-pollutant model indicates that NO_2 may be a potential confounder for co-pollutants. Conclusions: Our study shows that air pollution may be associated with the risk of influenza in a broad sense. Therefore, when formulating policies to deal with influenza outbreaks in the future, factors regarding air pollution should be taken into consideration.
机译:背景:证据表明,空气污染与许多不良健康结果相关,如心血管疾病(CVD),呼吸系统疾病,癌症和出生缺陷。然而,很少有研究挖掘出空气污染与空气传染病之间的关系。方法:对流感发病率的日常数据从湖北省疾病控制和预防中心(湖北CDC)获得。空气污染物的数据包括氮二氧化氮(NO_2),二氧化硫(SO_2),地层臭氧(O_3),颗粒物质(PM),空气动力学直径<2.5μm(PM_(2.5))和气动直径<10的PM从位于武汉的十个国家空气采样站中检索μm(PM_(10))。我们应用了广义添加剂模型(GAM)来估计2015 - 2017年武汉风险污染与流感风险的关联。结果:在单日滞后模型中,在LAG观察到最大的效果估计值。甲型流的相对风险增加(RR)显着与SO_2CRR:1.099增加10μg/ m〜3增加。 95%置信区间[CI]:1.011-1.195),NO_2(RR:1.039; 95%CI:1.013-1.065)和O_3(RR:1.005; 95%CI:0.994-1.016)。在多日滞后模型中,SO_2,NO_2和O_3的浓度与LAG 0-1的流感风险有统计学显着相关。季节性分析表明,在早期滞后日的温暖季节相比,寒冷季节的空气污染对流感的影响更大。多污染物模型表明NO_2可能是共同污染物的潜在混淆。结论:我们的研究表明,空气污染可能与流感的风险有关。因此,在制定要在将来处理流感疫情的政策时,应考虑有关空气污染的因素。

著录项

  • 来源
    《Environmental research》 |2021年第1期|110327.1-110327.8|共8页
  • 作者单位

    School of Health Sciences Wuhan University 115 Donghu Road 430071 Wuhan China;

    Environmental Health Laboratory Department of Public Health Sciences University Hawaii at Manoa 1960 East West Rd Biomed Bldg D105 Honolulu USA;

    School of Health Sciences Wuhan University 115 Donghu Road 430071 Wuhan China;

    School of Health Sciences Wuhan University 115 Donghu Road 430071 Wuhan China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; Influenza; Generalized additive model; Time-series; Infectious diseases;

    机译:空气污染;流感;广义添加剂模型;时间序列;传染性疾病;
  • 入库时间 2022-08-18 23:28:00

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