Standard
Networks in epidemiology. / Eames, Ken T. D.
; Read, Jonathan M. Bio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers. ed. / Pietro Lio; Eiko Yoneki; Jon Crowcroft; Dinesh C. Verma. Berlin: Springer Verlag, 2008. p. 79-90 (Lecture Notes in Computer Science; Vol. 5151).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Eames, KTD
& Read, JM 2008,
Networks in epidemiology. in P Lio, E Yoneki, J Crowcroft & DC Verma (eds),
Bio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers. Lecture Notes in Computer Science, vol. 5151, Springer Verlag, Berlin, pp. 79-90, 1st Workshop on Bio-Inspired Design of Networks, United Kingdom,
2/04/07.
https://doi.org/10.1007/978-3-540-92191-2_8APA
Eames, K. T. D.
, & Read, J. M. (2008).
Networks in epidemiology. In P. Lio, E. Yoneki, J. Crowcroft, & D. C. Verma (Eds.),
Bio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers (pp. 79-90). (Lecture Notes in Computer Science; Vol. 5151). Springer Verlag.
https://doi.org/10.1007/978-3-540-92191-2_8Vancouver
Eames KTD
, Read JM.
Networks in epidemiology. In Lio P, Yoneki E, Crowcroft J, Verma DC, editors, Bio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers. Berlin: Springer Verlag. 2008. p. 79-90. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-92191-2_8
Author
Eames, Ken T. D.
; Read, Jonathan M. /
Networks in epidemiology. Bio-inspired computing and communication: First Workshop on Bio-Inspired Design of Networks, BIOWIRE 2007 Cambridge, UK, April 2-5, 2007 Revised Selected Papers. editor / Pietro Lio ; Eiko Yoneki ; Jon Crowcroft ; Dinesh C. Verma. Berlin : Springer Verlag, 2008. pp. 79-90 (Lecture Notes in Computer Science).
Bibtex
@inproceedings{f84311cb501846e5bd3dfffabb2a49a4,
title = "Networks in epidemiology",
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.",
keywords = "Infectious disease, social contact, epidemic, mathematical model, evolution, SEXUALLY-TRANSMITTED DISEASES, SOCIAL NETWORKS, INFECTIOUS-DISEASES, HIV TRANSMISSION, COMPLEX NETWORKS, GREAT-BRITAIN, SPREAD, MODELS, RISK, EVOLUTION",
author = "Eames, {Ken T. D.} and Read, {Jonathan M.}",
year = "2008",
doi = "10.1007/978-3-540-92191-2_8",
language = "English",
isbn = "9783540921905",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "79--90",
editor = "Pietro Lio and Eiko Yoneki and Jon Crowcroft and Verma, {Dinesh C.}",
booktitle = "Bio-inspired computing and communication",
note = "1st Workshop on Bio-Inspired Design of Networks ; Conference date: 02-04-2007 Through 05-04-2007",
}
RIS
TY - GEN
T1 - Networks in epidemiology
AU - Eames, Ken T. D.
AU - Read, Jonathan M.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Infectious disease
KW - social contact
KW - epidemic
KW - mathematical model
KW - evolution
KW - SEXUALLY-TRANSMITTED DISEASES
KW - SOCIAL NETWORKS
KW - INFECTIOUS-DISEASES
KW - HIV TRANSMISSION
KW - COMPLEX NETWORKS
KW - GREAT-BRITAIN
KW - SPREAD
KW - MODELS
KW - RISK
KW - EVOLUTION
U2 - 10.1007/978-3-540-92191-2_8
DO - 10.1007/978-3-540-92191-2_8
M3 - Conference contribution/Paper
SN - 9783540921905
T3 - Lecture Notes in Computer Science
SP - 79
EP - 90
BT - Bio-inspired computing and communication
A2 - Lio, Pietro
A2 - Yoneki, Eiko
A2 - Crowcroft, Jon
A2 - Verma, Dinesh C.
PB - Springer Verlag
CY - Berlin
T2 - 1st Workshop on Bio-Inspired Design of Networks
Y2 - 2 April 2007 through 5 April 2007
ER -
