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优化网络物理空间中的靶向疫苗接种:基于实证的数学模拟研究。

Optimizing targeted vaccination across cyber-physical networks: an empirically based mathematical simulation study.

机构信息

Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.

Media Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.

出版信息

J R Soc Interface. 2018 Jan;15(138). doi: 10.1098/rsif.2017.0783.

Abstract

Targeted vaccination, whether to minimize the forward transmission of infectious diseases or their clinical impact, is one of the 'holy grails' of modern infectious disease outbreak response, yet it is difficult to achieve in practice due to the challenge of identifying optimal targets in real time. If interruption of disease transmission is the goal, targeting requires knowledge of underlying person-to-person contact networks. Digital communication networks may reflect not only virtual but also physical interactions that could result in disease transmission, but the precise overlap between these cyber and physical networks has never been empirically explored in real-life settings. Here, we study the digital communication activity of more than 500 individuals along with their person-to-person contacts at a 5-min temporal resolution. We then simulate different disease transmission scenarios on the person-to-person physical contact network to determine whether cyber communication networks can be harnessed to advance the goal of targeted vaccination for a disease spreading on the network of physical proximity. We show that individuals selected on the basis of their closeness centrality within cyber networks (what we call 'cyber-directed vaccination') can enhance vaccination campaigns against diseases with short-range (but not full-range) modes of transmission.

摘要

靶向疫苗接种,无论是为了最大限度地减少传染病的传播,还是为了减轻其临床影响,都是现代传染病爆发应对的“圣杯”之一,但由于难以实时识别最佳目标,实际上很难实现。如果中断疾病传播是目标,那么靶向接种就需要了解人际接触网络的底层知识。数字通信网络不仅可能反映虚拟的互动,还可能反映可能导致疾病传播的物理互动,但在现实生活环境中,这些网络的精确重叠从未得到过经验性的探索。在这里,我们研究了 500 多人的数字通信活动,以及他们在 5 分钟时间分辨率内的人际接触。然后,我们在人际物理接触网络上模拟不同的疾病传播场景,以确定是否可以利用网络通信网络来推进针对物理接近网络上传播的疾病的靶向疫苗接种目标。我们表明,基于网络中接近中心性选择的个体(我们称之为“网络定向疫苗接种”)可以增强针对短程(但非全范围)传播模式疾病的疫苗接种运动。

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