Concurrency measures in the era of temporal network epidemiology: a review

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.

Automated summary

Diseases spread through temporal networks of interaction events, with the structure of these networks being crucial for understanding epidemic propagation. Concurrency, the concept of individuals forming time-overlapping 'partnerships', plays a key role in this understanding, particularly in sexual transmitted infections. Despite conflicting evaluations and various definitions, concurrency remains significant in epidemiology research.