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Proceedings. Biological Sciences|December 14, 2004
The impact of cross-immunity, mutation and stochastic extinction on pathogen diversityLaith J Abu-Raddad, Neil M Ferguson
Bulletin of the World Health Organization|April 19, 2012
Epidemic and intervention modelling--a scientific rationale for policy decisions? Lessons from the 2009 influenza pandemicMaria D Van Kerkhove, Neil M Ferguson
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|February 24, 2011
Serial intervals and the temporal distribution of secondary infections within households of 2009 pandemic influenza A (H1N1): implications for influenza control recommendationsChristl A Donnelly, Lyn Finelli, Simon Cauchemez, et al.
Plos Neglected Tropical Diseases|May 27, 2021
Mathematical modelling and phylodynamics for the study of dog rabies dynamics and control: A scoping reviewMaylis Layan, Simon Dellicour, Guy Baele, et al.
Epidemics|May 30, 2018
Using serological studies to reconstruct the history of bluetongue epidemic in French cattle under successive vaccination campaignsNoémie Courtejoie, Henrik Salje, Benoît Durand, et al.
BMC Infectious Diseases|September 5, 2014
Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literatureMatthew Biggerstaff, Simon Cauchemez, Carrie Reed, et al.
American Journal of Epidemiology|August 5, 2006
Estimating in real time the efficacy of measures to control emerging communicable diseasesSimon Cauchemez, Pierre-Yves Boëlle, Guy Thomas, et al.
Plos Neglected Tropical Diseases|February 24, 2023
Correction: Mathematical modelling and phylodynamics for the study of dog rabies dynamics and control: A scoping reviewMaylis Layan, Simon Dellicour, Guy Baele, et al.
Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases|May 11, 2020
Detecting HLA-infectious disease associations for multi-strain pathogensConnor F White, Lorenzo Pellis, Matt J Keeling, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 13, 2024
Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methodsRoberto Cahuantzi, Katrina A Lythgoe, Ian Hall, et al.
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