Skip to main content
Article thumbnail
Location of Repository

Individual identity and movement networks for disease metapopulations

By Matthew James Keeling, Leon Danon, Matthew C. Vernon and Thomas A. House

Abstract

The theory of networks has had a huge impact in both the physical and life sciences, shaping our understanding of the interaction between multiple elements in complex systems. In particular, networks have been extensively used in predicting the spread of infectious diseases where individuals, or populations of individuals, interact with a limited set of others—defining the network through which the disease can spread. Here for such disease models we consider three assumptions for capturing the network of movements between populations, and focus on two applied problems supported by detailed data from Great Britain: the commuter movement of workers between local areas (wards) and the permanent movement of cattle between farms. For such metapopulation networks, we show that the identity of individuals responsible for making network connections can have a significant impact on the infection dynamics, with clear implications for detailed public health and veterinary applications. \ud \u

Topics: QA, RA
Publisher: National Academy of Sciences
Year: 2010
OAI identifier: oai:wrap.warwick.ac.uk:3301

Suggested articles


To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.