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首页> 外文期刊>Online Journal of Public Health Informatics >Effects of the El Ni?o Southern Oscillation on Influenza Peak Activity Timing
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Effects of the El Ni?o Southern Oscillation on Influenza Peak Activity Timing

机译:厄尔尼诺现象的南方涛动对流感高峰期活动时间的影响

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Objective This study aimed to explore the effects of El Ni?o and La Ni?a events on the timing of influenza A peak activity in European countries. Introduction Influenza causes a significant burden to the world every year. In the temperate zone, influenza usually prevalent in the winter season, however, it is hardly predictable when the influenza epidemic will begin and when the peak activity will come. Influenza has a peak in early winter sometimes and a peak in late winter in another year. However, it is not well known what determines these epidemics timing, and the global climate change is expected to influence the timing of influenza epidemics. Methods The weekly influenza surveillance data of 5 European countries (UK, Norway, Germany, Greece, and Italy) from January 2005 to July 2018 were retrieved from WHO FluNET database. UK and Norway are considered the northern part of Europe, otherwise Germany, Greece, and Italy are considered western southern part. The El Ni?o southern oscillation (ENSO) were retrieved from Korean Meteorological Administration. We used the definition of El Ni?o as the positive sea surface temperature anomalies (≥0.5 degree in Celcius), while La Ni?a events are negative anomalies (≤-0.5 degree) of 3 months moving average. The weeks with the highest activities of influenza A and B in each season were identified and coded as 1, 2, 3 if the peak appeared the 1st 2nd and 3rd week from the beginning of the year respectively. The influenza data of 2008/2009 and 2009/2010 were excluded from the analysis to eliminate the bias due to a pandemic influenza outbreak. We compared the means of these peak weeks according to the presence of the anomalies using the general linear model with Scheffe multiple comparison and Wilcoxon signed rank sum test. Results From January 2005 to July 2018, there were 3 El Ni?o and 5 La Ni?a events by the ENSO excluding 2009 El Ni?o. The influenza A peak activity was observed at 9 th week (mean±SD, 8.7±4.8) from the beginning of the year in no anomaly event, but the peak appearance timing was significantly shortened to 6 th week (6.2±2.7) and 5 th week (5.1±3.9) when El Ni?o and La Ni?a events occurred, respectively (both p0.05). Influenza A made the peak at usually 10 th week (9.9±5.0) in northern 2 countries in no anomalies, but at 6 th (6.4±3.9) week in any events of an anomaly in the surface sea temperature (p=0.072). In the southern 3 countries, influenza peaks were observed at 8 th (7.9±4.8 ) week in usual without anomalies, but at 5 th (5.0±3.3) week in El Ni?o or La Ni?a events (p=0.049). Conclusions Both El Ni?o and La Ni?a affect the timing of influenza A peak activity; the ENSO associated the early emergency of peak influenza activities in European countries.
机译:目的本研究旨在探讨厄尔尼诺事件和拉尼娜事件对欧洲国家甲型流感高峰活动时间的影响。简介流行性感冒每年给世界造成沉重负担。在温带地区,流感通常在冬季流行,但是,很难预测何时开始流行流感以及何时达到高峰活动。流感有时在初冬达到高峰,在另一年的冬末达到高峰。但是,决定这些流行病发生时间的因素尚不为人所知,预计全球气候变化会影响流感流行的时间。方法从WHO FluNET数据库中检索2005年1月至2018年7月欧洲5个国家(英国,挪威,德国,希腊和意大利)的每周流感监测数据。英国和挪威被视为欧洲的北部,否则德国,希腊和意大利被视为西部的南部。厄尔尼诺南方涛动(ENSO)从韩国气象局获得。我们用El Ni?o的定义为正海面温度异常(摄氏≥0.5度),而La Ni?a事件是3个月移动平均值的负异常(≤-0.5度)。如果高峰期分别从年初开始的第2周和第3周出现,则将每个季节中甲型和乙型流感活动最活跃的几周标识为1、2、3。分析未包括2008/2009年和2009/2010年的流感数据,以消除由于大流行性流感爆发而造成的偏倚。我们使用Scheffe多重比较和Wilcoxon符号秩和检验,使用常规线性模型根据异常的出现情况比较了这些高峰周的平均值。结果2005年1月至2018年7月,ENSO举行了3次El Ni?o和5次La Ni?a事件,但2009年El Ni?o除外。在没有异常事件的情况下,从年初开始在第9周观察到甲型流感高峰活动(平均值±SD,8.7±4.8),但高峰出现时间显着缩短至第6周(6.2±2.7)和5第一周(5.1±3.9),分别发生El Ni?o和La Ni?a事件(均p <0.05)。在北部两个国家,甲型流感通常在第10周(9.9±5.0)达到峰值,但无异常,而在表层海水温度出现异常的任何情况下,则在第6周(6.4±3.9)达到峰值(p = 0.072)。在南部三个国家中,通常在第8周(7.9±4.8)周观察到流感高峰,而没有出现异常,但是在El Ni?o或La Ni?a事件中在第5周(5.0±3.3)观察到(p = 0.049) 。结论El Ni?o和La Ni?a均可影响甲型流感高峰活动的时间。 ENSO将欧洲国家流感高峰活动的早期紧急状态与早期情况联系在一起。

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