Keeling, Matthew James, Danon, Leon, Vernon, Matthew C. and House, Thomas A. (2010) Individual identity and movement networks for disease metapopulations. National Academy of Sciences. Proceedings, Vol.107 (No.19). pp. 8866-8870. doi:10.1073/pnas.1000416107

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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.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010) Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH):	Communicable diseases -- Transmission, Communicable diseases -- Mathematical models, Social sciences -- Network analysis, Commuters -- Mathematical models, Cattle -- Mathematical models
Journal or Publication Title:	National Academy of Sciences. Proceedings
Publisher:	National Academy of Sciences
ISSN:	0027-8424
Official Date:	11 May 2010
Dates:	Date Event 11 May 2010 Published
Volume:	Vol.107
Number:	No.19
Number of Pages:	5
Page Range:	pp. 8866-8870
DOI:	10.1073/pnas.1000416107
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Wellcome Trust (London, England), Medical Research Council (Great Britain) (MRC), Research and Policy for Infectious Disease Dynamics Program

Data sourced from Thomson Reuters' Web of Knowledge

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