Epidemics on dynamic networks

Enright, J. and Kao, R. R. (2018) Epidemics on dynamic networks. Epidemics, 24, pp. 88-97. (doi: 10.1016/j.epidem.2018.04.003) (PMID:29907403)

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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.

Item Type:Articles
Additional Information:This work was supported by the Centre of Expertise on Animal Disease Outbreaks (EPIC) funded by the Scottish Government (Programmes of Research 2011 to 2016, project UEH/851/11).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Kao, Professor Rowland and Enright, Dr Jessica
Authors: Enright, J., and Kao, R. R.
College/School:College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
College of Science and Engineering > School of Computing Science
Journal Name:Epidemics
Publisher:Elsevier
ISSN:1755-4365
ISSN (Online):1878-0067
Published Online:28 April 2018
Copyright Holders:Copyright © 2018 The Authors
First Published:First published in Epidemics 24: 88-97
Publisher Policy:Reproduced under a Creative Commons License

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