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  • Currently displaying 21 - 40 of 102 publications
Key questions for modelling 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
– Proc Biol Sci
(2020)
287,
20201405
(doi: 10.1098/rspb.2020.1405)
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
– The Lancet. Infectious diseases
(2020)
20,
1151
(doi: 10.1016/s1473-3099(20)30457-6)
Effectiveness of isolation, testing, contact tracing and physical distancing on reducing transmission of SARS-CoV-2 in different settings
A Kucharski, P Klepac, A Conlan, S Kissler, M Tang, H Fry, J Gog, J Edmunds, CCW group
(2020)
2020.04.23.20077024
(doi: 10.1101/2020.04.23.20077024)
How you can help with COVID-19 modelling.
JR Gog
– Nat Rev Phys
(2020)
2,
1
(doi: 10.1038/s42254-020-0175-7)
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
(doi: 10.1098/rsif.2019.0628)
Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project
P Klepac, AJ Kucharski, AJ Conlan, S Kissler, ML Tang, H Fry, JR Gog
(2020)
2020.02.16.20023754
(doi: 10.1101/2020.02.16.20023754)
Pease (1987): The evolutionary epidemiology of influenza A.
V Andreasen, JR Gog
– Theoretical population biology
(2020)
133,
29
(doi: 10.1016/j.tpb.2019.12.006)
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
(doi: 10.1371/journal.pcbi.1007345)
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
(2019)
19005710
(doi: 10.1101/19005710)
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease
SM Kissler, P Klepac, M Tang, AJK Conlan, JR Gog
(2018)
479154
(doi: 10.1101/479154)
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
(2018)
26,
86
(doi: 10.1016/j.epidem.2018.10.002)
Urbanization and humidity shape the intensity of influenza epidemics in U.S. cities.
BD Dalziel, S Kissler, JR Gog, C Viboud, ON Bjørnstad, CJE Metcalf, BT Grenfell
– Science (New York, N.Y.)
(2018)
362,
75
(doi: 10.1126/science.aat6030)
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data.
JR Gog, AML Lever, JP Skittrall
– PLoS One
(2018)
13,
e0195763
(doi: 10.1371/journal.pone.0195763)
Contagion! The BBC Four Pandemic - The model behind the documentary
P Klepac, S Kissler, J Gog
– Epidemics
(2018)
24,
49
(doi: 10.1016/j.epidem.2018.03.003)
Human mobility and the spatial transmission of influenza in the United States.
V Charu, S Zeger, J Gog, ON Bjørnstad, S Kissler, L Simonsen, BT Grenfell, C Viboud
– PLoS Comput. Biol.
(2017)
13,
e1005382
(doi: 10.1371/journal.pcbi.1005382)
Infectious Disease Surveillance in the Big Data Era: Towards Faster and Locally Relevant Systems.
L Simonsen, JR Gog, D Olson, C Viboud
– Journal of Infectious Diseases
(2016)
214,
S380
(doi: 10.1093/infdis/jiw376)
Global Mortality Impact of the 1957–1959 Influenza Pandemic
C Viboud, L Simonsen, R Fuentes, J Flores, MA Miller, G Chowell
– J Infect Dis
(2016)
213,
s380
(doi: 10.1093/infdis/jiv534)
Capturing the dynamics of pathogens with many strains
AJ Kucharski, V Andreasen, JR Gog
– Journal of Mathematical Biology
(2015)
72,
1
(doi: 10.1007/s00285-015-0873-4)
Modeling infectious disease dynamics in the complex landscape of global health
H Heesterbeek, RM Anderson, V Andreasen, S Bansal, D De Angelis, C Dye, KTD Eames, WJ Edmunds, SDW Frost, S Funk, TD Hollingsworth, T House, V Isham, P Klepac, J Lessler, JO Lloyd-Smith, CJE Metcalf, D Mollison, L Pellis, JRC Pulliam, MG Roberts, C Viboud, Isaac Newton Institute IDD Collaboration
– Science
(2015)
347,
1216
(doi: 10.1126/science.aaa4339)
Five challenges in modelling interacting strain dynamics.
PS Wikramaratna, A Kucharski, S Gupta, V Andreasen, AR McLean, JR Gog
– Epidemics
(2014)
10,
31
(doi: 10.1016/j.epidem.2014.07.005)

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