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季节性流感波的触发因素的联合。

Conjunction of factors triggering waves of seasonal influenza.

机构信息

Institute of Genomics and Systems Biology, University of Chicago, Chicago, United States.

Department of Medicine, University of Chicago, Chicago, United States.

出版信息

Elife. 2018 Feb 27;7:e30756. doi: 10.7554/eLife.30756.

Abstract

Using several longitudinal datasets describing putative factors affecting influenza incidence and clinical data on the disease and health status of over 150 million human subjects observed over a decade, we investigated the source and the mechanistic triggers of influenza epidemics. We conclude that the initiation of a pan-continental influenza wave emerges from the simultaneous realization of a complex set of conditions. The strongest predictor groups are as follows, ranked by importance: (1) the host population's socio- and ethno-demographic properties; (2) weather variables pertaining to specific humidity, temperature, and solar radiation; (3) the virus' antigenic drift over time; (4) the host population'€™s land-based travel habits, and; (5) recent spatio-temporal dynamics, as reflected in the influenza wave auto-correlation. The models we infer are demonstrably predictive (area under the Receiver Operating Characteristic curve 80%) when tested with out-of-sample data, opening the door to the potential formulation of new population-level intervention and mitigation policies.

摘要

我们利用多个描述可能影响流感发病率的因素的纵向数据集,以及超过 1.5 亿人类个体的疾病和健康状况的临床数据,研究了流感流行的源头和机制触发因素。我们的结论是,泛大陆流感波的开始源于一系列复杂条件的同时实现。最重要的预测因素组如下,按重要性排序:(1) 宿主人群的社会和民族人口统计学特征;(2) 特定湿度、温度和太阳辐射的天气变量;(3) 病毒随时间的抗原漂移;(4) 宿主人群的陆地旅行习惯;以及(5) 流感波自相关反映的近期时空动态。我们推断的模型在使用样本外数据进行测试时具有明显的预测能力(接收者操作特征曲线下面积 80%),为制定新的人群干预和缓解政策开辟了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf0a/5864297/413987e9014f/elife-30756-fig1.jpg

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