Social network analysis in epidemiology: Current trends and perspectives
Social network analysis in epidemiology: Current trends and perspectives
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流行病学中的社交网络分析：当前趋势和观点
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Nicolas Vidot
中科院分区：
文献类型：
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作者：
Erick Stattner;Nicolas Vidot
世界贸易的日益发展促进了疾病的传播。最近的事件，如H1N1的爆发和传播，证实了这一趋势。大家都可以观察到，这种传染病往往具有跨越国界，迅速传播的能力。多年来，预防、监测和控制这些疾病的爆发似乎是一个首要的公共卫生问题。然而，尽管为了了解和研究流行病已经进行了许多工作，但由于这种现象的复杂性，这一主题仍然是一个热门问题。在本文中，我们提出了社交网络领域为了解传染病的传播提供了新的机会。这项工作的重点是流行病学中已经使用的技术，以及最近在社会网络分析中打开新视角的工作。我们概述了目前用于建模和研究疾病传播的方法，以及社交网络方法可以瞥见的未来方向。
The increasing development of world trade has promoted the spread of diseases. Recent events, like the H1N1 outbreak and spread, have confirmed this tendency. Everyone could observe that this kind of infectious disease often has the ability to cross countries borders and spread rapidly. Preventing, monitoring and controlling the outbreak of these diseases have appeared to be a public health problem of primary importance for years. However, although numerous works have been conducted in order to understand and study epidemics, this subject remains a topical issue because of the complexity of the phenomena. In this paper, we present new opportunities offered by the field of social networks for understanding the spread of infectious diseases. This work focuses both on techniques already used in epidemiology, and very recent works in social network analysis that open new perspectives. We give an overview of methods currently used to model and study the spread of diseases and future directions that the social network approach allows to glimpse.