Search Results for author: David Gavaghan

Found 3 papers, 3 papers with code

EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models

1 code implementation20 Oct 2023 Lara Herriott, Henriette L. Capel, Isaac Ellmen, Nathan Schofield, Jiayuan Zhu, Ben Lambert, David Gavaghan, Ioana Bouros, Richard Creswell, Kit Gallagher

Mathematical models play a crucial role in understanding the spread of infectious disease outbreaks and influencing policy decisions.

Epidemiological Agent-Based Modelling Software (Epiabm)

1 code implementation7 Dec 2022 Kit Gallagher, Ioana Bouros, Nicholas Fan, Elizabeth Hayman, Luke Heirene, Patricia Lamirande, Annabelle Lemenuel-Diot, Ben Lambert, David Gavaghan, Richard Creswell

Epiabm is a fully tested, open-source software package for epidemiological agent-based modelling, re-implementing the well-known CovidSim model from the MRC Centre for Global Infectious Disease Analysis at Imperial College London.

Epidemiology

Model Evidence with Fast Tree Based Quadrature

1 code implementation22 May 2020 Thomas Foster, Chon Lok Lei, Martin Robinson, David Gavaghan, Ben Lambert

Approximating these integrals is hard, due in part to the difficulty of locating and sampling from regions of the integration domain that make significant contributions to the overall integral.

Bayesian Inference

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