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量化天气对季节性流感的作用。

Quantifying the role of weather on seasonal influenza.

作者信息

Roussel Marion, Pontier Dominique, Cohen Jean-Marie, Lina Bruno, Fouchet David

机构信息

University Lyon 1, CNRS, UMR 5558, Biometry and Evolutionary Biology laboratory, Bât. Grégor Mendel 43 bd du 11 novembre 1918, Villeurbanne Cedex, F-69622, France.

LabEx ECOFECT, Eco-evolutionary Dynamics of infectious Diseases, University of Lyon, Lyon, France.

出版信息

BMC Public Health. 2016 May 26;16:441. doi: 10.1186/s12889-016-3114-x.

Abstract

BACKGROUND

Improving knowledge about influenza transmission is crucial to upgrade surveillance network and to develop accurate predicting models to enhance public health intervention strategies. Epidemics usually occur in winter in temperate countries and during the rainy season for tropical countries, suggesting a climate impact on influenza spread. Despite a lot of studies, the role of weather on influenza spread is not yet fully understood. In the present study, we investigated this issue at two different levels.

METHODS

First, we evaluated how weekly (intra-annual) incidence variations of clinical diseases could be linked to those of climatic factors. We considered that only a fraction of the human population is susceptible at the beginning of a year due to immunity acquired from previous years. Second, we focused on epidemic sizes (cumulated number of clinical reported cases) and looked at how their inter-annual and regional variations could be related to differences in the winter climatic conditions of the epidemic years over the regions. We quantified the impact of fifteen climatic variables in France using the Réseau des GROG surveillance network incidence data over eleven regions and nine years.

RESULTS

At the epidemic scale, no impact of climatic factors was highlighted. At the intra-annual scale, six climatic variables had a significant impact: average temperature (5.54 ± 1.09 %), absolute humidity (5.94 ± 1.08 %), daily variation of absolute humidity (3.02 ± 1.17 %), sunshine duration (3.46 ± 1.06 %), relative humidity (4.92 ± 1.20 %) and daily variation of relative humidity (4.46 ± 1.24 %). Since in practice the impact of two highly correlated variables is very hard to disentangle, we performed a principal component analysis that revealed two groups of three highly correlated climatic variables: one including the first three highlighted climatic variables on the one hand, the other including the last three ones on the other hand.

CONCLUSIONS

These results suggest that, among the six factors that appeared to be significant, only two (one per group) could in fact have a real effect on influenza spread, although it is not possible to determine which one based on a purely statistical argument. Our results support the idea of an important role of climate on the spread of influenza.

摘要

背景

提高对流感传播的认识对于升级监测网络以及开发准确的预测模型以加强公共卫生干预策略至关重要。在温带国家,流感流行通常发生在冬季,而在热带国家则发生在雨季,这表明气候对流感传播有影响。尽管有许多研究,但天气对流感传播的作用尚未完全了解。在本研究中,我们从两个不同层面调查了这个问题。

方法

首先,我们评估了临床疾病的每周(年内)发病率变化如何与气候因素的变化相关联。我们认为,由于前几年获得的免疫力,年初只有一部分人群易感。其次,我们关注疫情规模(临床报告病例累计数),并研究其年际和区域变化如何与各地区疫情年份冬季气候条件的差异相关。我们使用法国11个地区9年的Réseau des GROG监测网络发病率数据,量化了15个气候变量的影响。

结果

在疫情规模层面,未发现气候因素有影响。在年内层面,六个气候变量有显著影响:平均温度(5.54±1.09%)、绝对湿度(5.94±1.08%)、绝对湿度日变化(3.02±1.17%)、日照时长(3.46±1.06%)、相对湿度(4.92±1.20%)和相对湿度日变化(4.46±1.24%)。由于在实际中,两个高度相关变量的影响很难区分,我们进行了主成分分析,结果显示两组各三个高度相关的气候变量:一组包括前三个突出的气候变量,另一组包括后三个。

结论

这些结果表明,在这六个似乎有显著影响的因素中,实际上只有两个(每组一个)可能对流感传播有实际影响,尽管仅基于纯粹的统计论据无法确定是哪一个。我们的结果支持了气候在流感传播中起重要作用的观点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb33/4881007/1c8fed988cee/12889_2016_3114_Fig1_HTML.jpg

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