Eight challenges for network epidemic models

Eight challenges for network epidemic models

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 ep...

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Bibliographic Details
Main Authors: Lorenzo Pellis, Frank Ball, Shweta Bansal, Ken Eames, Thomas House, Valerie Isham, Pieter Trapman
Format: Article
Language:English
Published: Elsevier 2015-03-01
Series:Epidemics
Subjects:
Infectious disease models
Transmission dynamics
Contact networks
Random graphs
Dynamic networks
Control measures
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436514000334

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http://www.sciencedirect.com/science/article/pii/S1755436514000334

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