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首页> 外文会议>NSF Workshop on Intelligence and Security Informatics(BioSurveillance 2007); 20070522; New Brunswick,NJ(US) >Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data
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Incorporating Geographical Contacts into Social Network Analysis for Contact Tracing in Epidemiology: A Study on Taiwan SARS Data

机译：将地理联系人纳入社会网络分析中以进行流行病学联系人追踪：台湾SARS数据研究

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摘要

In epidemiology, contact tracing is a process to control the spread of an infectious disease and identify individuals who were previously exposed to patients with the disease. After the emergence of AIDS, Social Network Analysis (SNA) was demonstrated to be a good supplementary tool for contact tracing. Traditionally, social networks for disease investigations are constructed only with personal contacts. However, for diseases which transmit not only through personal contacts, incorporating geographical contacts into SNA has been demonstrated to reveal potential contacts among patients. In this research, we use Taiwan SARS data to investigate the differences in connectivity between personal and geographical contacts in the construction of social networks for these diseases. According to our results, geographical contacts, which increase the average degree of nodes from 0 to 108.62 and decrease the number of components from 961 to 82, provide much higher connectivity than personal contacts. Therefore, including geographical contacts is important to understand the underlying context of the transmission of these diseases. We further explore the differences in network topology between one-mode networks with only patients and multi-mode networks with patients and geographical locations for disease investigation. We find that including geographical locations as nodes in a social network provides a good way to see the role that those locations play in the disease transmission and reveal potential bridges among those geographical locations and households.
机译：在流行病学中，接触者追踪是控制传染病传播并识别先前接触过该病患者的个人的过程。艾滋病出现之后，社交网络分析（SNA）被证明是一种很好的辅助性联系人追踪工具。传统上，疾病调查的社交网络仅由个人联系构成。但是，对于不仅通过个人接触传播的疾病，将地理接触纳入SNA已被证明可以揭示患者之间的潜在接触。在这项研究中，我们使用台湾SARS数据调查在针对这些疾病的社交网络的构建中，个人联系与地理联系之间的联系差异。根据我们的结果，地理联系人将节点的平均程度从0增加到108.62，并将组件的数量从961减少到82，提供了比个人联系更高的连通性。因此，包括地理上的接触对于理解这些疾病的传播基础非常重要。我们进一步探索仅患者的单模式网络与具有患者和地理位置的多模式网络之间的网络拓扑差异，以进行疾病调查。我们发现将地理位置作为社交网络中的节点提供了一个很好的方法，可以了解这些位置在疾病传播中所扮演的角色，并揭示这些地理位置和家庭之间的潜在桥梁。

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