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Restif2007 - Vaccination invasion


ABSTRACT: Restif2007 - Vaccination invasion This model is described in the article: Vaccination and the dynamics of immune evasion. Restif O, Grenfell BT. J R Soc Interface 2007 Feb; 4(12): 143-153 Abstract: Vaccines exert strong selective pressures on pathogens, favouring the spread of antigenic variants. We propose a simple mathematical model to investigate the dynamics of a novel pathogenic strain that emerges in a population where a previous strain is maintained at low endemic level by a vaccine. We compare three methods to assess the ability of the novel strain to invade and persist: algebraic rate of invasion; deterministic dynamics; and stochastic dynamics. These three techniques provide complementary predictions on the fate of the system. In particular, we emphasize the importance of stochastic simulations, which account for the possibility of extinctions of either strain. More specifically, our model suggests that the probability of persistence of an invasive strain (i) can be minimized for intermediate levels of vaccine cross-protection (i.e. immune protection against the novel strain) and (ii) is lower if cross-immunity acts through a reduced infectious period rather than through reduced susceptibility. This version of the model can be used for both the stochastic and the deterministic simulations described in the article. For deterministic interpretations with infinite population sizes, set the population size  N = 1. The model does reproduces the deterministic time course. The initial values are set to the steady state values for a latent infection with strain 1 with an invading infection of strain 2 (I2=1e-06), 100 percent vaccination with a susceptibility reduction τ=0.7 at birth (p=1), and all other parameters as in figure 3 of the publication.  To be compatible with older software tools, the english letter names instead of the greek symbols were used for parameter names: parameter symbol name transmission rate β beta recovery rate γ gamma birth/death rate μ mu rate of loss of natural immunity σ sigma rate of loss of vaccine immunity σ v sigmaV reduction of susceptibility by primary infection θ theta reduction of infection period by primary infection ν nu reduction of susceptibility by vaccination τ tau reduction of infection period by vaccination η eta Originally created by libAntimony v1.4 (using libSBML 3.4.1) This model is hosted on BioModels Database and identified by: BIOMD0000000294. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

DISEASE(S): Pertussis

SUBMITTER: Lukas Endler  

PROVIDER: BIOMD0000000294 | BioModels | 2024-09-02

REPOSITORIES: BioModels

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Publications

Vaccination and the dynamics of immune evasion.

Restif Olivier O   Grenfell Bryan T BT  

Journal of the Royal Society, Interface 20070201 12


Vaccines exert strong selective pressures on pathogens, favouring the spread of antigenic variants. We propose a simple mathematical model to investigate the dynamics of a novel pathogenic strain that emerges in a population where a previous strain is maintained at low endemic level by a vaccine. We compare three methods to assess the ability of the novel strain to invade and persist: algebraic rate of invasion; deterministic dynamics; and stochastic dynamics. These three techniques provide comp  ...[more]

Publication: 1/3

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