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  • Currently displaying 21 - 40 of 100 publications
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, CMMID COVID-19 working group
(2020)
2020.04.23.20077024
(doi: 10.1101/2020.04.23.20077024)
How you can help with COVID-19 modelling.
JR Gog
– Nature Reviews Physics
(2020)
2,
274
(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
– J R Soc 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, A Kucharski, AJK Conlan, S Kissler, M Tang, H Fry, J 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
– Theor Popul Biol
(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
S Kissler, C Viboud, B Grenfell, J Gog
(2019)
19005710
(doi: 10.1101/19005710)
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease
S Kissler, P Klepac, M Tang, AJK Conlan, J 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 computational biology
(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
– J Infect Dis
(2016)
214,
S380
(doi: 10.1093/infdis/jiw376)
Infectious disease surveillance in the big data era: Towards faster and locally relevant systems
C Viboud, L Simonsen, R Fuentes, J Flores, MA Miller, G Chowell
– J Infect Dis
(2016)
214,
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,
aaa4339
(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)
Seven challenges in modeling pathogen dynamics within-host and across scales.
JR Gog, L Pellis, JLN Wood, AR McLean, N Arinaminpathy, JO Lloyd-Smith
– Epidemics
(2014)
10,
45
(doi: 10.1016/j.epidem.2014.09.009)
Eight challenges in phylodynamic inference.
SDW Frost, OG Pybus, JR Gog, C Viboud, S Bonhoeffer, T Bedford
– Epidemics
(2014)
10,
88
(doi: 10.1016/j.epidem.2014.09.001)

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