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

Abstract

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.

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References in corpus (8)

• Critical phenomena in complex networks
• Nestedness in complex networks: Observation, emergence, and implications
• Network reachability of real-world contact sequences
• Epidemic spreading on complex networks with community structures
• Effects of time window size and placement on the structure of aggregated networks
• Spreading Dynamics Following Bursty Human Activity Patterns
• Solving the Dynamic Correlation Problem of the Susceptible-Infected-Susceptible Model on Networks
• Exploring concurrency and reachability in the presence of high temporal resolution

Cited by in corpus (3)

• The Temporal Rich Club Phenomenon
• A Parrondo paradox in susceptible-infectious-susceptible dynamics over periodic temporal networks
• Effects of concurrency on epidemic spreading in Markovian temporal networks