论文标题
时间网络流行病学时代的并发措施：评论
Concurrency measures in the era of temporal network epidemiology: A review
论文作者
论文摘要
疾病分布在个人之间的相互作用事件的时间网络上。这些时间网络的结构拥有理解流行传播的关键。有助于讨论这些结构的文献的一个早期概念是并发 - 量化个人形成时间重叠的“伙伴关系”的趋势。尽管相互矛盾的评估和操作定义的过度损害了并发历史，但它仍然很重要，尤其是在性传播感染领域。如今，许多理论流行病学都使用了更直接的接触模式模型，并且有许多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和这些新方法的发展。
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.
