V
Valerie Isham
Researcher at University College London
Publications - 88
Citations - 6808
Valerie Isham is an academic researcher from University College London. The author has contributed to research in topics: Stochastic modelling & Population. The author has an hindex of 37, co-authored 84 publications receiving 6252 citations.
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Journal ArticleDOI
Some Models for Rainfall Based on Stochastic Point Processes
TL;DR: In this paper, the variation of rainfall intensity at a fixed point in space is discussed for the variation in rainfall intensity over a fixed period of time and the main properties of these models are determined analytically.
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Probabilistic modelling of water balance at a point: the role of climate, soil and vegetation
TL;DR: In this article, the water balance is described through the representation of rainfall as a marked Poisson process which in turn produces an infiltration into the soil dependent on the existing level of soil moisture.
Journal ArticleDOI
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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A point process model for rainfall: further developments
TL;DR: In this paper, a stochastic model for rainfall at a single site is studied in which storms arrive in a Poisson process, each storm consisting of a cluster of a random number of rain cells, each cell having random duration and depth.