2020/12/31 by Naoki Masuda, Joel C. Miller, Petter Holme · 24 citations
Computer Science · Engineering · Health Professions · Mathematics · Physics and Astronomy · #Adolescent Sexual and Reproductive Health #Bioinformatics #Biology #COVID-19 epidemiological studies #Complex Network Analysis Techniques #Computer science #Concurrency #Cover (algebra) #Data science #Distributed computing #Engineering #Isolation (microbiology) #cs.SI #physics.soc-ph
paper · pdf · open access · doi:10.1098/rsif.2021.0019
published in Journal of The Royal Society Interface 18(179), 20210019 (Royal Society) · 5 figures
openalex publication_date 2021/06/01 · arxiv created 2021/06/03 · arxiv updated 2021/06/07 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.