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)
|
Text
203096.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives. 661kB |
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 Science and Engineering > School of Computing Science College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine |
| 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 |
University Staff: Request a correction | Enlighten Editors: Update this record
Deposit and Record Details
Deposit and Record Details