Professor Julia Rose Gog

Professor of Mathematical Biology, DAMTP, University of Cambridge

David N. Moore Fellow in Mathematics, Queens' College

Honours and awards

Career

2017-present Professor of Mathematical Biology
2013-2017 Reader in Mathematical Biology
2010-2012 Visiting Fellow, Ecology and Evolutionary Biology, Princeton University
2006-2013 University Lecturer, DAMTP, University of Cambridge
2006-2012 Royal Society University Research Fellowship, DAMTP, University of Cambridge
2004-present Official Fellow, Queens' College
2004-2006 Royal Society University Research Fellowship, Department of Zoology, University of Cambridge
2002-2004 Research Fellowship, Queens' College

Research

Julia Gog's research is in the mathematics of infectious diseases. Recent projects include:

Models of influenza strain dynamics
Spatial spread of influenza
Within-host dynamics of influenza
In vitro dynamics of Salmonella
Bioinformatic methods to detect RNA signals in viruses

University news items on our work

For list of publications, please try Julia's profile on Google Scholar.

Photo credit: Marisa Sutherland-Brown

Publications

Short-term Projections based on Early Omicron Variant Dynamics in England

M Keeling, E Brooks-Pollock, R Challen, L Danon, L Dyson, J Gog, L Guzmán Rincón, E Hill, L Pellis, J Read, M Tildesley

(2021)

(DOI: 10.1101/2021.12.30.21268307)

Vaccine breakthrough and the invasion dynamics of SARS-CoV-2 variants

C Saad-Roy, S Levin, J Gog, J Farrar, C Wagner, J Metcalf, B Grenfell

(2021)

(DOI: 10.1101/2021.12.13.21267725)

Commentary on the use of the reproduction number R during the COVID-19 pandemic.

C Vegvari, S Abbott, F Ball, E Brooks-Pollock, R Challen, BS Collyer, C Dangerfield, JR Gog, KM Gostic, JM Heffernan, TD Hollingsworth, V Isham, E Kenah, D Mollison, J Panovska-Griffiths, L Pellis, MG Roberts, G Scalia Tomba, RN Thompson, P Trapman

– Statistical Methods in Medical Research

(2021)

096228022110370

(DOI: 10.1177/09622802211037079)

SARS-CoV-2 infection in UK university students: lessons from September-December 2020 and modelling insights for future student return

J Enright, EM Hill, HB Stage, KJ Bolton, EJ Nixon, EL Fairbanks, ML Tang, E Brooks-Pollock, L Dyson, CJ Budd, RB Hoyle, L Schewe, JR Gog, MJ Tildesley

– Royal Society open science

(2021)

210310

(DOI: 10.1098/rsos.210310)

Vaccine escape in a heterogeneous population: insights for SARS-CoV-2 from a simple model

JR Gog, EM Hill, L Danon, RN Thompson

– Royal Society open science

(2021)

210530

(DOI: 10.1098/rsos.210530)

SARS-CoV-2 incidence and vaccine escape

RN Thompson, EM Hill, JR Gog

– The Lancet. Infectious diseases

(2021)

21,

913

(DOI: 10.1016/S1473-3099(21)00202-4)

Early epidemiological signatures of novel SARS-CoV-2 variants: establishment of B.1.617.2 in England

R Challen, L Dyson, C Overton, L Guzman-Rincon, E Hill, H Stage, E Brooks-Pollock, L Pellis, F Scarabel, D Pascall, P Blomquist, M Tildesley, D Williamson, S Siegert, X Xiong, B Youngman, JUNIPER Consortium, J Read, J Gog, M Keeling, L Danon

(2021)

(DOI: 10.1101/2021.06.05.21258365)

Epidemic interventions: insights from classic results.

JR Gog, TD Hollingsworth

– Philosophical Transactions of the Royal Society B Biological Sciences

(2021)

376,

20200263

(DOI: 10.1098/rstb.2020.0263)

Engagement and adherence trade-offs for SARS-CoV-2 contact tracing.

TCD Lucas, EL Davis, D Ayabina, A Borlase, T Crellen, L Pi, GF Medley, L Yardley, P Klepac, J Gog, T Déirdre Hollingsworth

– Philosophical transactions of the Royal Society of London. Series B, Biological sciences

(2021)

376,

20200270

(DOI: 10.1098/rstb.2020.0270)

Coughs, Colds and “Freshers’ Flu” Survey in the University of Cambridge, 2007-2008

KTD Eames, M Tang, E Hill, M Tildesley, J Read, M Keeling, J Gog

(2021)

(DOI: 10.1101/2021.03.31.21251220)

Department of Applied Mathematics and Theoretical Physics

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