时间网络流行病学时代的并发性度量：综述
Concurrency measures in the era of temporal network epidemiology: A review
摘要：
疾病通过个体之间相互作用事件的时间网络传播。这些时间网络的结构是理解流行病传播的关键。一个早期的概念的文献，以帮助讨论这些结构是并发-量化个人的倾向，形成时间重叠的“伙伴关系”。虽然相互矛盾的评价和过多的业务定义破坏了并发症的历史，但它仍然很重要，特别是在性传播感染领域。今天，许多理论流行病学使用更直接的接触模式模型，并且有一个新兴的文献试图将方法与并发文献联系起来。在这篇综述中，我们将介绍并发概念的发展和这些新方法。
英文摘要：
Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One early concept of the literature to aid in discussing these structures is concurrency -- quantifying individuals' tendency to form time-overlapping "partnerships". Although conflicting evaluations and an overabundance of operational definitions have marred the history of concurrency, it remains important, especially in the area of sexually transmitted infections. Today, much of theoretical epidemiology uses more direct models of contact patterns, and there is an emerging body of literature trying to connect methods to the concurrency literature. In this review, we will cover the development of the concept of concurrency and these new approaches.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
