Epidemics on dynamic networks

Jessica Enright, Rowland Raymond Kao

Research output: Contribution to journalReview articlepeer-review


In many populations, the patterns of potentially infectious contacts are transients that can be described as a network with dynamic links. The relative timescales of link and contagion dynamics and the characteristics that drive their tempos can lead to important differences to the static case. Here, we propose some essential nomenclature for their analysis, and then review the relevant literature. We describe recent advances in they apply to infection processes, considering all of the methods used to record, measure and analyse them, and their implications for disease transmission. Finally, we outline some key challenges and opportunities in the field.

Original languageEnglish
Pages (from-to)88-97
Early online date28 Apr 2018
Publication statusPublished - 1 Sep 2018


  • Social network analysis
  • Disease models
  • Network metrics
  • Network data


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