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

Naoki Masuda*, Joel C. Miller, Petter Holme

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-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.

Original languageEnglish
Article number20210019
JournalJournal of the Royal Society Interface
Volume18
Issue number179
DOIs
Publication statusPublished - 2021 Jun
Externally publishedYes

Keywords

  • contact networks
  • epidemic processes
  • mathematical epidemiology
  • temporal networks

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Bioengineering
  • Biomaterials
  • Biochemistry
  • Biomedical Engineering

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