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Epidemics|October 30, 2016
Preserving privacy whilst maintaining robust epidemiological predictionsMarleen Werkman, Michael J Tildesley, Ellen Brooks-Pollock, et al.Proceedings. Biological Sciences|May 8, 2015
Epidemic predictions in an imperfect world: modelling disease spread with partial dataPeter M Dawson, Marleen Werkman, Ellen Brooks-Pollock, et al.Journal of the Royal Statistical Society. Series A, (Statistics in Society)|April 17, 2023
Estimation of reproduction numbers in real time: Conceptual and statistical challengesLorenzo Pellis, Paul J Birrell, Joshua Blake, et al.BMC Infectious Diseases|March 18, 2011
Using an online survey of healthcare-seeking behaviour to estimate the magnitude and severity of the 2009 H1N1v influenza epidemic in EnglandEllen Brooks-Pollock, Natasha Tilston, W John Edmunds, et al.Proceedings. Biological Sciences|May 17, 2007
Host community structure and the maintenance of pathogen diversityCaroline Buckee, Leon Danon, Sunetra GuptaBMJ Open|January 8, 2021
Estimating the COVID-19 epidemic trajectory and hospital capacity requirements in South West England: a mathematical modelling frameworkRoss D Booton, Louis MacGregor, Lucy Vass, et al.Plos Computational Biology|March 14, 2012
Measured dynamic social contact patterns explain the spread of H1N1v influenzaKen T D Eames, Natasha L Tilston, Ellen Brooks-Pollock, et al.The Journal of Infectious Diseases|May 20, 2011
Epidemiologic inference from the distribution of tuberculosis cases in households in Lima, PeruEllen Brooks-Pollock, Mercedes C Becerra, Edward Goldstein, et al.Epidemics|March 1, 2011
The role of routine versus random movements on the spread of disease in Great BritainLeon Danon, Thomas House, Matt J KeelingPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 4, 2008
Impact of community structure on information transferLeon Danon, Alex Arenas, Albert Díaz-GuileraPageof 12