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Influences on influenza transmission within terminal based on hierarchical structure of personal contact network

BACKGROUND: Since the outbreak of pandemics, influenza has caused extensive attention in the field of public health. It is actually hard to distinguish what is the most effective method to control the influenza transmission within airport terminal. The purpose of this study was to quantitatively eva...

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Autores principales: Shao, Quan, Jia, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376360/
https://www.ncbi.nlm.nih.gov/pubmed/25849344
http://dx.doi.org/10.1186/s12889-015-1536-5
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author Shao, Quan
Jia, Meng
author_facet Shao, Quan
Jia, Meng
author_sort Shao, Quan
collection PubMed
description BACKGROUND: Since the outbreak of pandemics, influenza has caused extensive attention in the field of public health. It is actually hard to distinguish what is the most effective method to control the influenza transmission within airport terminal. The purpose of this study was to quantitatively evaluate the influences of passenger source, immunity difference and social relation structure on the influenza transmission in terminal. METHODS: A method combining hierarchical structure of personal contact network with agent-based SEIR model was proposed to analyze the characteristics of influenza diffusion within terminal. Based on the spatial distance between individuals, the hierarchical structure of personal contact network was defined to construct a complex relationship of passengers in the real world. Moreover, the agent-based SEIR model was improved by considering the individual level of influenza spread characteristics. To evaluate the method, this process was fused in simulation based on the constructed personal contact network. RESULTS: In the terminal we investigated, personal contact network was defined by following four layers: social relation structure, procedure partition, procedure area, and the whole terminal. With the growing of layer, the degree distribution curves move right. The value of degree distribution p(k) reached a peak at a specific value, and then back down. Besides, with the increase of layer α, the clustering coefficients presented a tendency to exponential decay. Based on the influenza transmission experiments, the main infected areas were concluded when considering different factors. Moreover, partition of passenger sources was found to impact a lot in departure, while social relation structure imposed a great influence in arrival. Besides, immunity difference exerted no obvious effect on the spread of influenza in the transmission process both in departure and arrival. CONCLUSIONS: The proposed method is efficient to reproduce the evolution process of influenza transmission, and exhibits various roles of each factor in different processes, also better reflects the effect of passenger topological character on influenza spread. It contributes to proposing effective influenza measures by airport relevant department and improving the efficiency and ability of epidemic prevention on the public health.
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spelling pubmed-43763602015-03-28 Influences on influenza transmission within terminal based on hierarchical structure of personal contact network Shao, Quan Jia, Meng BMC Public Health Research Article BACKGROUND: Since the outbreak of pandemics, influenza has caused extensive attention in the field of public health. It is actually hard to distinguish what is the most effective method to control the influenza transmission within airport terminal. The purpose of this study was to quantitatively evaluate the influences of passenger source, immunity difference and social relation structure on the influenza transmission in terminal. METHODS: A method combining hierarchical structure of personal contact network with agent-based SEIR model was proposed to analyze the characteristics of influenza diffusion within terminal. Based on the spatial distance between individuals, the hierarchical structure of personal contact network was defined to construct a complex relationship of passengers in the real world. Moreover, the agent-based SEIR model was improved by considering the individual level of influenza spread characteristics. To evaluate the method, this process was fused in simulation based on the constructed personal contact network. RESULTS: In the terminal we investigated, personal contact network was defined by following four layers: social relation structure, procedure partition, procedure area, and the whole terminal. With the growing of layer, the degree distribution curves move right. The value of degree distribution p(k) reached a peak at a specific value, and then back down. Besides, with the increase of layer α, the clustering coefficients presented a tendency to exponential decay. Based on the influenza transmission experiments, the main infected areas were concluded when considering different factors. Moreover, partition of passenger sources was found to impact a lot in departure, while social relation structure imposed a great influence in arrival. Besides, immunity difference exerted no obvious effect on the spread of influenza in the transmission process both in departure and arrival. CONCLUSIONS: The proposed method is efficient to reproduce the evolution process of influenza transmission, and exhibits various roles of each factor in different processes, also better reflects the effect of passenger topological character on influenza spread. It contributes to proposing effective influenza measures by airport relevant department and improving the efficiency and ability of epidemic prevention on the public health. BioMed Central 2015-03-18 /pmc/articles/PMC4376360/ /pubmed/25849344 http://dx.doi.org/10.1186/s12889-015-1536-5 Text en © Shao and Jia; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Shao, Quan
Jia, Meng
Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title_full Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title_fullStr Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title_full_unstemmed Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title_short Influences on influenza transmission within terminal based on hierarchical structure of personal contact network
title_sort influences on influenza transmission within terminal based on hierarchical structure of personal contact network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4376360/
https://www.ncbi.nlm.nih.gov/pubmed/25849344
http://dx.doi.org/10.1186/s12889-015-1536-5
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