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Critical behavior of an epidemic model of drug resistant diseases

机译:耐药性疾病流行模型的临界行为

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In this work, we study the critical behavior of an epidemic propagation model that considers individuals that can develop drug resistance. In our lattice model, each site can be found in one of the four states: empty, healthy, normally infected (not drug resistant) and strain infected (drug resistant) states. The most relevant parameters in our model are related to the mortality, cure and mutation rates. This model presents two distinct stationary active phases: a phase with co-existing normal and drug resistant infected individuals, and an intermediate active phase with only drug resistant individuals. We employed a finite-size scaling analysis to compute the critical points and the critical exponents, betau and 1u, governing the phase transitions between these active states and the absorbing inactive state. Our results are consistent with the hypothesis that these transitions belong to the directed percolation universality class.
机译:在这项工作中,我们研究了一种流行病传播模型的关键行为,该模型考虑了可以产生耐药性的个体。在我们的点阵模型中,每个位点都可以处于四个状态之一:空,健康,正常感染(不耐药)和菌株感染(耐药)状态。我们模型中最相关的参数与死亡率,治愈率和突变率有关。该模型显示了两个不同的固定活动期:一个与正常和耐药感染者共存的阶段,以及一个仅具有耐药个体的中间活动期。我们采用了有限尺寸缩放分析来计算临界点和临界指数beta / nu和1 / nu,以控制这些活动状态和吸收性活动状态之间的相变。我们的结果与以下假设是一致的:这些过渡属于有向渗滤普遍性类别。

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