Erik Volz

Senior Lecturer at Imperial College London

Schools

  • Imperial College London

Links

Biography

Imperial College London

Summary

I study the interaction of epidemiological dynamics and evolution of pathogens. The aim of this work is to improve surveillance of infectious diseases using genetic data. Applications include outbreak detection, forensics, and forecasting epidemic trends. I also study mathematical models for infectious disease dynamics, especially network models, and develop statistical methodology for fitting epidemic models to genomic data.

Selected Publications

Journal Articles

Volz E, Mishra S, Chand M, et al., 2021, Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England, Nature, Vol:593, ISSN:0028-0836, Pages:266-269

Volz E, Hill V, McCrone J, et al., 2021, Evaluating the effects of SARS-CoV-2 Spike mutation D614G on transmissibility and pathogenicity, Cell, Vol:184, ISSN:0092-8674, Pages:64-75.e11

Volz E, Wiuf C, Grad YH, et al., 2020, Identification of hidden population structure in time-scaled phylogenies, Systematic Biology, Vol:69, ISSN:1063-5157, Pages:884-896

Volz EM, Siveroni I, 2018, Bayesian phylodynamic inference with complex models, PLOS Computational Biology, Vol:14, ISSN:1553-734X

Volz E, Didelot X, 2018, Modeling the growth and decline of pathogen effective population size provides insight into epidemic dynamics and drivers of antimicrobial resistance, Systematic Biology, Vol:67, ISSN:1063-5157, Pages:719-728

Volz EM, Le Vu S, Ratmann O, et al., 2018, Molecular Epidemiology of HIV-1 Subtype B Reveals Heterogeneous Transmission Risk: Implications for Intervention and Control., J Infect Dis, Vol:217, Pages:1522-1529

Volz EM, Frost SDW, 2017, Scalable relaxed clock phylogenetic dating, Virus Evolution, Vol:3, ISSN:2057-1577

Volz E, Romero-Severson E, Leitner TK, 2017, Phylodynamic inference across epidemic scales, Molecular Biology and Evolution, Vol:34, ISSN:1537-1719, Pages:1276-1288

Volz EM, Ionides E, Romero-Severson EO, et al., 2013, HIV-1 Transmission during Early Infection in Men Who Have Sex with Men: A Phylodynamic Analysis, PLOS Medicine, Vol:10, ISSN:1549-1277

Volz EM, Frost SDW, 2013, Inferring the Source of Transmission with Phylogenetic Data, Plos Computational Biology, Vol:9

Volz EM, Koelle K, Bedford T, 2013, Viral Phylodynamics, PLOS Computational Biology, Vol:9, ISSN:1553-734X

Volz EM, Koopman JS, Ward MJ, et al., 2012, Simple Epidemiological Dynamics Explain Phylogenetic Clustering of HIV from Patients with Recent Infection, Plos Computational Biology, Vol:8

Volz EM, 2012, Complex Population Dynamics and the Coalescent Under Neutrality, Genetics, Vol:190, ISSN:0016-6731, Pages:187-U311

Volz EM, Pond SLK, Ward MJ, et al., 2009, Phylodynamics of Infectious Disease Epidemics, Genetics, Vol:183, ISSN:0016-6731, Pages:1421-1430

Volz E, 2008, SIR dynamics in random networks with heterogeneous connectivity, Journal of Mathematical Biology, Vol:56, ISSN:0303-6812, Pages:293-310

Volz E, Meyers LA, 2007, Susceptible-infected-recovered epidemics in dynamic contact networks, Proceedings of the Royal Society B: Biological Sciences, Vol:274, ISSN:0962-8452, Pages:2925-2933

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