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登革热输入欧洲:基于网络连通性的方法。

Dengue importation into Europe: A network connectivity-based approach.

机构信息

Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisboa, Lisbon, Portugal.

Centro de Estudos Geográficos, Instituto de Geografia e Ordenamento do Território, Universidade de Lisboa, Lisboa, Lisbon, Portugal.

出版信息

PLoS One. 2020 Mar 12;15(3):e0230274. doi: 10.1371/journal.pone.0230274. eCollection 2020.

Abstract

The spread of dengue through global human mobility is a major public health concern. A key challenge is understanding the transmission pathways and mediating factors that characterized the patterns of dengue importation into non-endemic areas. Utilizing a network connectivity-based approach, we analyze the importation patterns of dengue fever into European countries. Seven connectivity indices were developed to characterize the role of the air passenger traffic, seasonality, incidence rate, geographical proximity, epidemic vulnerability, and wealth of a source country, in facilitating the transport and importation of dengue fever. We used generalized linear mixed models (GLMMs) to examine the relationship between dengue importation and the connectivity indices while accounting for the air transport network structure. We also incorporated network autocorrelation within a GLMM framework to investigate the propensity of a European country to receive an imported case, by virtue of its position within the air transport network. The connectivity indices and dynamical processes of the air transport network were strong predictors of dengue importation in Europe. With more than 70% of the variation in dengue importation patterns explained. We found that transportation potential was higher for source countries with seasonal dengue activity, high passenger traffic, high incidence rates, high epidemic vulnerability, and in geographical proximity to a destination country in Europe. We also found that position of a European country within the air transport network was a strong predictor of the country's propensity to receive an imported case. Our findings provide evidence that the importation patterns of dengue into Europe can be largely explained by appropriately characterizing the heterogeneities of the source, and topology of the air transport network. This contributes to the foundational framework for building integrated predictive models for bio-surveillance of dengue importation.

摘要

登革热通过全球人类流动性传播是一个主要的公共卫生关注点。一个关键的挑战是了解传播途径和介导因素,这些因素描述了登革热输入非流行地区的模式。我们利用基于网络连通性的方法,分析了欧洲国家登革热输入的模式。开发了七个连通性指数来描述航空旅客交通、季节性、发病率、地理接近度、流行易感性和来源国的财富在促进登革热的传播和输入中的作用。我们使用广义线性混合模型(GLMM)来检验登革热输入与连通性指数之间的关系,同时考虑到航空运输网络结构。我们还在 GLMM 框架内纳入了网络自相关,以调查一个欧洲国家因其在航空运输网络中的位置而接收输入病例的倾向。连通性指数和航空运输网络的动态过程是欧洲登革热输入的强有力预测因素。解释了超过 70%的登革热输入模式的变化。我们发现,季节性登革热活动、高客流量、高发病率、高流行易感性和与欧洲目的地国家地理接近的来源国的运输潜力更高。我们还发现,一个欧洲国家在航空运输网络中的位置是该国接收输入病例倾向的一个强有力的预测因素。我们的研究结果表明,欧洲输入登革热的模式可以通过适当描述来源的异质性和航空运输网络的拓扑结构来解释。这为建立登革热输入生物监测的综合预测模型提供了基础框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/22a6/7067432/9322ca834397/pone.0230274.g001.jpg

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