Concurrency measures in the era of temporal network epidemiology: A review
December 24, 2020 Β· The Cartographer Β· π Journal of the Royal Society Interface
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"Title-pattern auto-detect: Concurrency measures in the era of temporal network epidemiology: A review"
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Authors
Naoki Masuda, Joel C. Miller, Petter Holme
arXiv ID
2012.13317
Category
physics.soc-ph
Cross-listed
cs.SI
Citations
18
Venue
Journal of the Royal Society Interface
Last Checked
2 days ago
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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