Pellis, Lorenzo, Ball, Frank, Bansal, Shweta, Eames, Ken T. D., House, Thomas A., Isham, Valerie and Trapman, Pieter (2015) Eight challenges for network epidemic models. Epidemics, 10 . pp. 58-62. doi:10.1016/j.epidem.2014.07.003 ISSN 1755-4365.

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Abstract

Networks offer a fertile framework for studying the spread of infection in human and animal populations. However, owing to the inherent high-dimensionality of networks themselves, modelling transmission through networks is mathematically and computationally challenging. Even the simplest network epidemic models present unanswered questions. Attempts to improve the practical usefulness of network models by including realistic features of contact networks and of host–pathogen biology (e.g. waning immunity) have made some progress, but robust analytical results remain scarce. A more general theory is needed to understand the impact of network structure on the dynamics and control of infection. Here we identify a set of challenges that provide scope for active research in the field of network epidemic models.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics Q Science > QR Microbiology > QR355 Virology
Divisions:	Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH):	Communicable diseases -- Mathematical models, Epidemiology - - Mathematical models, Communicable diseases -- Transmission, Communicable diseases -- Prevention
Journal or Publication Title:	Epidemics
Publisher:	Elsevier BV
ISSN:	1755-4365
Official Date:	February 2015
Dates:	Date Event February 2015 Published 4 August 2014 Available 28 July 2014 Accepted 15 February 2014 Submitted
Volume:	10
Page Range:	pp. 58-62
DOI:	10.1016/j.epidem.2014.07.003
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	28 December 2015
Date of first compliant Open Access:	28 December 2015
Funder:	Engineering and Physical Sciences Research Council (EPSRC), Vetenskapsrådet (Swedish Research Council, National Institute for Health Research (Great Britain) (NIHR), Science & Technology Directorate, Department of Homeland Security, Fogarty International Center, National Institutes of Health (NIH)
Grant number:	2010-5873 ; NIHR-CDF-2001-04-019

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