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Networks in epidemiology

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Published
Publication date2008
Host publicationBio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers
EditorsPietro Lio, Eiko Yoneki, Jon Crowcroft, Dinesh C. Verma
Place of PublicationBerlin
PublisherSpringer Verlag
Pages79-90
Number of pages12
ISBN (Electronic)9783540921912
ISBN (Print)9783540921905
<mark>Original language</mark>English
Event1st Workshop on Bio-Inspired Design of Networks - Cambridge, United Kingdom
Duration: 2/04/20075/04/2007

Conference

Conference1st Workshop on Bio-Inspired Design of Networks
Country/TerritoryUnited Kingdom
Period2/04/075/04/07

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume5151
ISSN (Print)0302-9743

Conference

Conference1st Workshop on Bio-Inspired Design of Networks
Country/TerritoryUnited Kingdom
Period2/04/075/04/07

Abstract

We discuss the uses of networks as epidemiological tools to describe the interactions taking place within populations. The difficulties of accurate measurement of real-world social networks are discussed, along with modelling approaches designed to require only incomplete data. Properties of human contact networks such as clustering and variable strengths of interactions are seen to he important factors in the spread of an epidemic. We consider the evolution of a pathogen spreading through a dynamic network and show that the pattern of contacts within a host population determines the evolutionary pressures that a pathogen experiences.