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Ken T. D. Eames
Researcher at University of London
Publications - 52
Citations - 7088
Ken T. D. Eames is an academic researcher from University of London. The author has contributed to research in topics: Population & Public health. The author has an hindex of 31, co-authored 52 publications receiving 6110 citations. Previous affiliations of Ken T. D. Eames include University of Cambridge & University of Warwick.
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Journal ArticleDOI
Networks and epidemic models.
TL;DR: A variety of methods are described that allow the mixing network, or an approximation to the network, to be ascertained and how the two fields of network theory and epidemiological modelling can deliver an improved understanding of disease dynamics and better public health through effective disease control are suggested.
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“Herd Immunity”: A Rough Guide
TL;DR: Historical, epidemiologic, theoretical, and pragmatic public health perspectives on the concept of herd immunity are provided.
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Modeling infectious disease dynamics in the complex landscape of global health.
Hans Heesterbeek,Roy M. Anderson,Viggo Andreasen,Shweta Bansal,Daniela De Angelis,Christopher Dye,Ken T. D. Eames,W. John Edmunds,Simon D. W. Frost,Sebastian Funk,T. Déirdre Hollingsworth,T. Déirdre Hollingsworth,Thomas House,Valerie Isham,Petra Klepac,Justin Lessler,James O. Lloyd-Smith,C. Jessica E. Metcalf,Denis Mollison,Lorenzo Pellis,Juliet R. C. Pulliam,Juliet R. C. Pulliam,Mick G. Roberts,Cécile Viboud +23 more
TL;DR: The development of mathematical models used in epidemiology are reviewed and how these can be harnessed to develop successful control strategies and inform public health policy, using the West African Ebola epidemic as an example.
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Modeling dynamic and network heterogeneities in the spread of sexually transmitted diseases.
TL;DR: An intuitive mathematical framework is developed to deal with the heterogeneities implicit within contact networks and those that arise because of the infection process, and these models are compared with full stochastic simulations and show excellent agreement across a wide range of parameters.
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Contact tracing and disease control
TL;DR: A simple relationship is found between the efficiency of contact tracing necessary for eradication and the basic reproductive ratio of the disease, and this holds for a wide variety of realistic situations including heterogeneous networks containing core–groups or super–spreaders, and asymptomatic individuals.