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Tom Britton
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2020 – today
- 2023
- [j14]Tom Britton, Lasse Leskelä
:
Optimal Intervention Strategies for Minimizing Total Incidence During an Epidemic. SIAM J. Appl. Math. 83(2): 354-373 (2023) - 2022
- [j13]Yunjun Zhang
, Tom Britton
, Xiaohua Zhou
:
Monitoring real-time transmission heterogeneity from incidence data. PLoS Comput. Biol. 18(12): 1010078 (2022) - [j12]Fanny Bergström
, Felix Günther, Michael Höhle
, Tom Britton:
Bayesian nowcasting with leading indicators applied to COVID-19 fatalities in Sweden. PLoS Comput. Biol. 18(12): 1010767 (2022) - [j11]Frank Ball, Tom Britton:
Epidemics on networks with preventive rewiring. Random Struct. Algorithms 61(2): 250-297 (2022) - 2020
- [j10]Tom Britton:
Directed preferential attachment models: Limiting degree distributions and their tails. J. Appl. Probab. 57(1): 122-136 (2020) - [j9]Yunjun Zhang, Thomas Leitner, Jan Albert
, Tom Britton
:
Inferring transmission heterogeneity using virus genealogies: Estimation and targeted prevention. PLoS Comput. Biol. 16(9) (2020)
2010 – 2019
- 2019
- [j8]Kristoffer Spricer
, Tom Britton:
An SIR epidemic on a weighted network. Netw. Sci. 7(4): 556-580 (2019) - 2017
- [j7]Federica Giardina
, Ethan O. Romero-Severson
, Jan Albert
, Tom Britton, Thomas Leitner:
Inference of Transmission Network Structure from HIV Phylogenetic Trees. PLoS Comput. Biol. 13(1) (2017) - 2016
- [j6]Frank Ball, Tom Britton, Peter Neal
:
On expected durations of birth-death processes, with applications to branching processes and SIS epidemics. J. Appl. Probab. 53(1): 203-215 (2016) - [j5]Jens Malmros, Fredrik Liljeros, Tom Britton:
Respondent-driven sampling and an unusual epidemic. J. Appl. Probab. 53(2): 518-530 (2016) - [j4]Eben Kenah, Tom Britton, M. Elizabeth Halloran, Ira M. Longini Jr.:
Molecular Infectious Disease Epidemiology: Survival Analysis and Algorithms Linking Phylogenies to Transmission Trees. PLoS Comput. Biol. 12(4) (2016) - 2015
- [i8]Kristoffer Spricer, Tom Britton:
The Configuration Model for Partially Directed Graphs. CoRR abs/1503.05081 (2015) - [i7]Tom Britton, David Juher, Joan Saldaña:
A network epidemic model with preventive rewiring: comparative analysis of the initial phase. CoRR abs/1512.00344 (2015) - 2014
- [j3]Jakob E. Björnberg, Tom Britton, Erik I. Broman, Eviatar Natan:
A Stochastic Model for Virus Growth in a Cell Population. J. Appl. Probab. 51(3): 599-612 (2014) - [i6]Jens Malmros, Fredrik Liljeros, Tom Britton:
Respondent-driven sampling and an unusual epidemic. CoRR abs/1411.4867 (2014) - 2013
- [i5]Jens Malmros, Naoki Masuda, Tom Britton:
Random Walks on Directed Networks: Inference and Respondent-driven Sampling. CoRR abs/1308.3600 (2013) - 2012
- [j2]Tom Britton, Pieter Trapman:
Maximizing the Size of the Giant. J. Appl. Probab. 49(4): 1156-1165 (2012) - [i4]Tom Britton, Pieter Trapman:
Inferring global network properties from egocentric data with applications to epidemics. CoRR abs/1201.2788 (2012) - [i3]Frank Ball, Tom Britton, David Sirl:
A network with tunable clustering, degree correlation and degree distribution, and an epidemic thereon. CoRR abs/1207.3205 (2012) - 2011
- [i2]Tom Britton, Mathias Lindholm, Tatyana S. Turova:
A dynamic network in a dynamic population: asymptotic properties. CoRR abs/1104.0148 (2011) - [i1]Tom Britton, David Lindenstrand:
Inhomogeneous epidemics on weighted networks. CoRR abs/1112.4718 (2011)
2000 – 2009
- 2002
- [j1]Martti T. Tammi, Erik Arner, Tom Britton, Björn Andersson
:
Separation of nearly identical repeats in shotgun assemblies using defined nucleotide positions, DNPs. Bioinform. 18(3): 379-388 (2002)
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