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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
(2020)
2020.04.23.20077024
(doi: 10.1101/2020.04.23.20077024)
How you can help with COVID-19 modelling
– Nature Reviews Physics
(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
– 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
(2020)
2020.02.16.20023754
(doi: 10.1101/2020.02.16.20023754)
Pease (1987): The evolutionary epidemiology of influenza A.
– 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
– 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
(2019)
19005710
(doi: 10.1101/19005710)
Sparking “The BBC Four Pandemic”: Leveraging citizen science and mobile phones to model the spread of disease
(2018)
479154
(doi: 10.1101/479154)
Geographic transmission hubs of the 2009 influenza pandemic in the United States
– 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.
– Science
(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
– PloS one
(2018)
13,
e0195763
(doi: 10.1371/journal.pone.0195763)
Contagion! The BBC Four Pandemic – The model behind the documentary
– Epidemics
(2018)
24,
49
(doi: 10.1016/j.epidem.2018.03.003)
Human mobility and the spatial transmission of influenza in the United States
– 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
– J Infect Dis
(2016)
214,
S380
(doi: 10.1093/infdis/jiw376)
Global Mortality Impact of the 1957–1959 Influenza Pandemic
– Journal of Infectious Diseases
(2016)
213,
s380
(doi: 10.1093/infdis/jiw376)
Capturing the dynamics of pathogens with many strains
– 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.
– Science (New York, N.Y.)
(2015)
347,
1216
(doi: 10.1126/science.aaa4339)
Five challenges in modelling interacting strain dynamics
– Epidemics
(2014)
10,
31
(doi: 10.1016/j.epidem.2014.07.005)
Seven challenges in modeling pathogen dynamics within-host and across scales
– Epidemics
(2014)
10,
45
(doi: 10.1016/j.epidem.2014.09.009)
Eight challenges in phylodynamic inference.
– Epidemics
(2014)
10,
88
(doi: 10.1016/j.epidem.2014.09.001)