摘要翻译：
性传播疾病（如衣原体、梅毒、淋病、艾滋病毒）在人群中的传播是科学家和卫生机构的主要关切。在这方面，收集关于性接触网络的数据和建立疾病传播模型，都大大有助于寻求有效的免疫政策。在这里，性传播疾病在两部无标度图上的传播，代表异性接触网络，被考虑。在有限总体中，我们解析地导出了流行病阈值的表达式及其与系统规模的依赖关系。我们表明，与不考虑网络的两方性质的情况相比，在两方人口中的流行病爆发（性伴侣数量分布如国家性调查的经验观察）发生的传播率更大。数值模拟验证了理论结果的正确性。我们的发现表明，在设计有效的性传播疾病免疫策略时，必须考虑限制两类个体（男性和女性）之间的交叉感染。
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英文标题：
《Spreading of sexually transmitted diseases in heterosexual populations》
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作者：
J. Gomez-Gardenes, V. Latora, Y. Moreno and E.V. Profumo
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最新提交年份：
2008
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分类信息：

一级分类：Physics        物理学
二级分类：Physics and Society        物理学与社会
分类描述：Structure, dynamics and collective behavior of societies and groups (human or otherwise). Quantitative analysis of social networks and other complex networks. Physics and engineering of infrastructure and systems of broad societal impact (e.g., energy grids, transportation networks).
社会和团体（人类或其他）的结构、动态和集体行为。社会网络和其他复杂网络的定量分析。具有广泛社会影响的基础设施和系统（如能源网、运输网络）的物理和工程。
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一级分类：Physics        物理学
二级分类：Biological Physics        生物物理学
分类描述：Molecular biophysics, cellular biophysics, neurological biophysics, membrane biophysics, single-molecule biophysics, ecological biophysics, quantum phenomena in biological systems (quantum biophysics), theoretical biophysics, molecular dynamics/modeling and simulation, game theory, biomechanics, bioinformatics, microorganisms, virology, evolution, biophysical methods.
分子生物物理、细胞生物物理、神经生物物理、膜生物物理、单分子生物物理、生态生物物理、生物系统中的量子现象（量子生物物理）、理论生物物理、分子动力学/建模与模拟、博弈论、生物力学、生物信息学、微生物、病毒学、进化论、生物物理方法。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  The spread of sexually transmitted diseases (e.g. Chlamydia, Syphilis, Gonorrhea, HIV) across populations is a major concern for scientists and health agencies. In this context, both data collection on sexual contact networks and the modeling of disease spreading, are intensively contributing to the search for effective immunization policies. Here, the spreading of sexually transmitted diseases on bipartite scale-free graphs, representing heterosexual contact networks, is considered. We analytically derive the expression for the epidemic threshold and its dependence with the system size in finite populations. We show that the epidemic outbreak in bipartite populations, with number of sexual partners distributed as in empirical observations from national sex surveys, takes place for larger spreading rates than for the case in which the bipartite nature of the network is not taken into account. Numerical simulations confirm the validity of the theoretical results. Our findings indicate that the restriction to crossed infections between the two classes of individuals (males and females) has to be taken into account in the design of efficient immunization strategies for sexually transmitted diseases.
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PDF链接：
https://arxiv.org/pdf/0707.1672