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首页> 外文期刊>Nonlinear analysis. Hybrid systems: An International Multidisciplinary Journal >The evolutionary dynamics of a spatial multi-strain host-pathogen system with cross-immunity
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The evolutionary dynamics of a spatial multi-strain host-pathogen system with cross-immunity

机译:具有交叉免疫的空间多菌株宿主-病原体系统的进化动力学

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摘要

We considered a Susceptible-Infective-Recovered-Susceptible (SIRS) model with strain mutation and cross-immunity in a non-spatial model and a lattice-structured model, where all individuals can reproduce if the space/resources allow. In the lattice-structured model, both the host reproduction and pathogen transmission processes are assumed to interact with next nearest neighbors, and the model was analyzed by an improved pair approximation (IPA). A family of correlated equations of pair approximation and mean-field were presented. We show the phase diagram of the coexistence and extinction which were obtained from parameterization by measuring the basic reproduction numbers of the strains during their infection processes. The qualitative results of the pair approximation model are similar to that of the corresponding non-spatial model. Furthermore, the spatial model predicts coexistence over a wider range of parameters than the non-spatial model. In particular, when the strain evolution tends to a larger basic reproduction number, the correlated spatial approximation could predict better than the mean-field approximation.
机译:我们在非空间模型和网格结构模型中考虑了具有菌株突变和交叉免疫的易感性感染恢复易感性(SIRS)模型,如果空间/资源允许,所有个体都可以繁殖。在晶格结构模型中,假定宿主繁殖和病原体传播过程都与下一个最近的邻居相互作用,并且通过改进的对近似(IPA)分析了该模型。提出了一对近似和均值场的相关方程组。我们通过测量菌株在感染过程中的基本繁殖数,显示了通过参数化获得的共存和灭绝的相图。对近似模型的定性结果与相应的非空间模型的定性结果相似。此外,与非空间模型相比,空间模型预测在更大范围的参数上共存。特别是,当应变演化趋向于更大的基本再生数时,相关的空间近似可以比平均场近似更好地预测。

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