Elsevier

Epidemics

Volume 24, September 2018, Pages 88-97
Epidemics

Review
Epidemics on dynamic networks

https://doi.org/10.1016/j.epidem.2018.04.003Get rights and content
Under a Creative Commons license
open access

Highlights

  • Review of the current use of dynamic networks analysis in epidemiology.

  • Includes theoretical developments, dynamic network metrics and examples.

  • List of current challenges in the field.

  • Example code for two useful dynamic network algorithms developed by the lead author.

Abstract

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.

Keywords

Social network analysis
Disease models
Network metrics
Network data

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