描述流行病学接触网络的方法和措施。
Methods and measures for the description of epidemiologic contact networks.
作者信息
Riolo C S, Koopman J S, Chick S E
机构信息
The Department of Epidemiology, University of Michigan, 109 Observatory Street, Ann Arbor, MI 48109-2029, USA.
出版信息
J Urban Health. 2001 Sep;78(3):446-57. doi: 10.1093/jurban/78.3.446.
Abstract
This article describes new methods to characterize epidemiologic contact networks that involve links that are being dynamically formed and dissolved. The new social network measures are designed with an epidemiologic interpretation in mind. These methods are intended to capture dynamic aspects of networks related to their potential to spread infection. This differs from many social network measures that are based on static networks. The networks are formulated as transmission graphs (TGs), in which nodes represent relationships between two individuals and directed edges (links) represent the potential of an individual in one relationship to carry infection to an individual in another relationship. Network measures derived from transmission graphs include "source counts," which are defined as the number of prior relationships that could potentially transmit infection to a particular node or individual.
摘要
本文介绍了表征流行病学接触网络的新方法，这些网络涉及正在动态形成和解散的联系。新的社会网络测量方法在设计时考虑到了流行病学解释。这些方法旨在捕捉网络与感染传播潜力相关的动态方面。这与许多基于静态网络的社会网络测量方法不同。这些网络被构建为传播图（TGs），其中节点代表两个个体之间的关系，有向边（链接）代表一种关系中的个体将感染传播给另一种关系中的个体的可能性。从传播图得出的网络测量包括“源计数”，其定义为可能将感染传播给特定节点或个体的先前关系的数量。
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本文引用的文献
1
Reinterpreting network measures for models of disease transmission.
Soc Networks. 1993 Mar;15(1):1-17. doi: 10.1016/0378-8733(93)90019-h.
2
Modeling contact networks and infection transmission in geographic and social space using GERMS.
Sex Transm Dis. 2000 Nov;27(10):617-26. doi: 10.1097/00007435-200011000-00010.
3
Risks of acquiring and transmitting sexually transmitted diseases in sexual partner networks.性伴侣网络中获得和传播性传播疾病的风险。
Sex Transm Dis. 2000 Nov;27(10):579-87. doi: 10.1097/00007435-200011000-00006.
4
Some methodological issues in the study of sexual networks: from model to data to model.
Sex Transm Dis. 2000 Nov;27(10):558-71. doi: 10.1097/00007435-200011000-00004.
5
Analysis and simulation of a stochastic, discrete-individual model of STD transmission with partnership concurrency.具有性伴并发情况的性传播疾病传播随机离散个体模型的分析与模拟
Math Biosci. 2000 Jul;166(1):45-68. doi: 10.1016/s0025-5564(00)00028-6.
6
Individual causal models and population system models in epidemiology.流行病学中的个体因果模型和群体系统模型。
Am J Public Health. 1999 Aug;89(8):1170-4. doi: 10.2105/ajph.89.8.1170.
7
Sexual mixing patterns in the spread of gonococcal and chlamydial infections.淋球菌和衣原体感染传播中的性混合模式。
Am J Public Health. 1999 Jun;89(6):825-33. doi: 10.2105/ajph.89.6.825.
8
Sexual network patterns as determinants of STD rates: paradigm shift in the behavioral epidemiology of STDs made visible.性网络模式作为性传播疾病发病率的决定因素：性传播疾病行为流行病学中的范式转变得以显现。
Sex Transm Dis. 1999 May;26(5):262-4. doi: 10.1097/00007435-199905000-00004.
9
Sampling biases and missing data in explorations of sexual partner networks for the spread of sexually transmitted diseases.性传播疾病传播的性伴侣网络探索中的抽样偏差和数据缺失问题。
Stat Med. 1998 Sep 30;17(18):2079-97. doi: 10.1002/(sici)1097-0258(19980930)17:18<2079::aid-sim902>3.0.co;2-h.
10
Social network dynamics and HIV transmission.社交网络动态与HIV传播。
AIDS. 1998 Aug 20;12(12):1529-36. doi: 10.1097/00002030-199812000-00016.
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