Associations between Temperature and Influenza Activity: A National Time Series Study in China

被引:15
作者
Chen, Can [1 ]
Zhang, Xiaobao [1 ]
Jiang, Daixi [1 ]
Yan, Danying [1 ]
Guan, Zhou [1 ]
Zhou, Yuqing [1 ]
Liu, Xiaoxiao [1 ]
Huang, Chenyang [1 ]
Ding, Cheng [1 ]
Lan, Lei [1 ]
Huang, Xihui [2 ]
Li, Lanjuan [1 ]
Yang, Shigui [1 ]
机构
[1] Zhejiang Univ, State Key Lab Diag & Treatment Infect Dis, Natl Clin Res Ctr Infect Dis,Sch Med, Affiliated Hosp 1,Collaborat Innovat Ctr Diag & T, Hangzhou 310058, Peoples R China
[2] Fujian Normal Univ, Coll Foreign Languages, Subject Teaching English, Fuzhou 350117, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
temperature; influenza activity; H1N1; virus; generalized additive models; EPIDEMIOLOGY; SEASONALITY; HUMIDITY;
D O I
10.3390/ijerph182010846
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Previous studies have reported that temperature is the main meteorological factor associated with influenza activity. This study used generalized additive models (GAMs) to explore the relationship between temperature and influenza activity in China. From the national perspective, the average temperature (AT) had an approximately negative linear correlation with the incidence of influenza, as well as a positive rate of influenza H1N1 virus (A/H1N1). Every degree that the monthly AT rose, the influenza cases decreased by 2.49% (95%CI: 1.24%-3.72%). The risk of influenza cases reached a peak at -5.35 degrees C with RRs of 2.14 (95%CI: 1.38-3.33) and the monthly AT in the range of -5.35 degrees C to 18.31 degrees C had significant effects on the incidence of influenza. Every degree that the weekly AT rose, the positive rate of A/H1N1 decreased by 5.28% (95%CI: 0.35%-9.96%). The risk of A/H1N1 reached a peak at -3.14 degrees C with RRs of 4.88 (95%CI: 1.01-23.75) and the weekly AT in the range of -3.14 degrees C to 17.25 degrees C had significant effects on the incidence of influenza. Our study found that AT is negatively associated with influenza activity, especially for A/H1N1. These findings indicate that temperature could be integrated into the current influenza surveillance system to develop early warning systems to better predict and prepare for the risks of influenza.
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页数:11
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