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Department of Applied Mathematics and Theoretical Physics

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

SARS-CoV-2 incidence and vaccine escape
RN Thompson, EM Hill, JR Gog
– The Lancet. Infectious diseases
(2021)
21,
913
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
Epidemic interventions: insights from classic results.
JR Gog, TD Hollingsworth
– Philosophical Transactions of the Royal Society B Biological Sciences
(2021)
376,
20200263
Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.
AJ Kucharski, P Klepac, AJK Conlan, SM Kissler, ML Tang, H Fry, JR Gog, WJ Edmunds, CMMID COVID-19 working group
– Lancet Infect Dis
(2020)
20,
1151
Key questions for modelling COVID-19 exit strategies: COVID-19 Exit Strategies
RN Thompson, TD Hollingsworth, V Isham, D Arribas-Bel, B Ashby, T Britton, P Challenor, LHK Chappell, H Clapham, NJ Cunniffe, AP Dawid, CA Donnelly, RM Eggo, S Funk, N Gilbert, P Glendinning, JR Gog, WS Hart, H Heesterbeek, T House, M Keeling, IZ Kiss, ME Kretzschmar, AL Lloyd, ES McBryde, JM McCaw, TJ McKinley, JC Miller, M Morris, PD O'Neill, KV Parag, CAB Pearson, L Pellis, JRC Pulliam, JV Ross, GS Tomba, BW Silverman, CJ Struchiner, MJ Tildesley, P Trapman, CR Webb, D Mollison, O Restif
– Proceedings of the Royal Society B
(2020)
287,
20201405
Pease (1987): The evolutionary epidemiology of influenza A
V Andreasen, JR Gog
– Theoretical population biology
(2020)
133,
29
How you can help with COVID-19 modelling
JR Gog
– Nature reviews. Physics
(2020)
2,
1
Symbolic transfer entropy reveals the age structure of pandemic influenza transmission from high-volume influenza-like illness data
SM Kissler, C Viboud, BT Grenfell, JR Gog
– Journal of the Royal Society, Interface
(2020)
17,
20190628
A scale-free analysis of the HIV-1 genome demonstrates multiple conserved regions of structural and functional importance.
J Skittrall, C Ingemarsdotter, J Gog, A Lever
– PLoS Computational Biology
(2019)
15,
e1007345
Geographic transmission hubs of the 2009 influenza pandemic in the United States.
SM Kissler, JR Gog, C Viboud, V Charu, ON Bjørnstad, L Simonsen, BT Grenfell
– Epidemics
(2019)
26,
86
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Research Group

Disease Dynamics

Room

G0.10

Telephone

01223 760429