Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Sharkey, Kieran J."'
The basic reproduction number, $R_0$, is a well-known quantifier of epidemic spread. However, a class of existing methods for estimating $R_0$ from incidence data early in the epidemic can lead to an over-estimation of this quantity. In particular, w
Externí odkaz:
http://arxiv.org/abs/2304.06661
We consider the effect of network structure on the evolution of a population. Models of this kind typically consider a population of fixed size and distribution. Here we consider eco-evolutionary dynamics where population size and distribution can ch
Externí odkaz:
http://arxiv.org/abs/2304.01903
Autor:
Overton, Christopher E., Wilkinson, Robert R., Loyinmi, Adedapo, Miller, Joel C., Sharkey, Kieran J.
Publikováno v:
Bull Math Biol 84, 4 (2022)
Deterministic approximations to stochastic Susceptible-Infectious-Susceptible models typically predict a stable endemic steady-state when above threshold. This can be hard to relate to the underlying stochastic dynamics, which has no endemic steady-s
Externí odkaz:
http://arxiv.org/abs/2208.05901
Publikováno v:
In Infectious Disease Modelling September 2024 9(3):680-688
Publikováno v:
Journal of Theoretical Biology Vol. 519, 110648 (2021)
A biologically motivated individual-based framework for evolution in network-structured populations is developed that can accommodate eco-evolutionary dynamics. This framework is used to construct a network birth and death model. The evolutionary gra
Externí odkaz:
http://arxiv.org/abs/2010.16159
Publikováno v:
J. Theor. Biol. 468, 45-59 (2019)
Population structure can have a significant effect on evolution. For some systems with sufficient symmetry, analytic results can be derived within the mathematical framework of evolutionary graph theory which relate to the outcome of the evolutionary
Externí odkaz:
http://arxiv.org/abs/1902.06614
Autor:
Sharkey, Kieran J.
Publikováno v:
Phys. Rev. E 99, 012315 (2019)
We show that eigenvector centrality exhibits localization phenomena on networks that can be easily partitioned by the removal of a vertex cut set, the most extreme example being networks with a cut vertex. Three distinct types of localization are ide
Externí odkaz:
http://arxiv.org/abs/1809.00810
Autor:
Sharkey, Kieran J.
Publikováno v:
Scientific Reports 7 (2017)
Methods for efficiently controlling dynamics propagated on networks are usually based on identifying the most influential nodes. Knowledge of these nodes can be used for the targeted control of dynamics such as epidemics, or for modifying biochemical
Externí odkaz:
http://arxiv.org/abs/1711.01891
Publikováno v:
Phys. Rev. E 97, 052403 (2018)
The duration of the infectious period is a crucial determinant of the ability of an infectious disease to spread. We consider an epidemic model that is network based and non-Markovian, containing classic Kermack-McKendrick, pairwise, message passing,
Externí odkaz:
http://arxiv.org/abs/1710.05730
Publikováno v:
Proceedings: Biological Sciences, 2020 Feb 01. 287(1920), 1-10.
Externí odkaz:
https://www.jstor.org/stable/26917400