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MATHEMATICAL MODELS FOR VACCINATION, WANING IMMUNITY AND IMMUNE SYSTEM BOOSTING: A GENERAL FRAMEWORK

机译:用于疫苗接种的数学模型,衰落免疫和免疫系统提升:一般框架

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When the body gets infected by a pathogen or receives a vaccine dose, the immune system develops pathogen-specific immunity. Induced immunity decays in time and years after recovery/vaccination the host might become susceptible again. Exposure to the pathogen in the environment boosts the immune system thus prolonging the duration of the protection. Such an interplay of within host and population level dynamics poses significant challenges in rigorous mathematical modeling of immuno-epidemiology. The aim of this paper is twofold. First, we provide an overview of existing models for waning of disease/vaccine-induced immunity and immune system boosting. Then a new modeling approach is proposed for SIRVS dynamics, monitoring the immune status of individuals and including both waning immunity and immune system boosting. We show that some previous models can be considered as special cases or approximations of our framework.
机译:当体内受病原体感染或接受疫苗剂量时,免疫系统产生特异性特异性免疫。诱导的免疫衰减及时恢复/疫苗接种后宿主可能再次变得容易受到影响。暴露于环境中的病原体促进免疫系统,从而延长了保护的持续时间。在宿主和人口水平动态内的这种相互作用在免疫流行病学的严格数学建模中造成了重大挑战。本文的目的是双重的。首先,我们概述了疾病/疫苗诱导的免疫和免疫系统增强的现有模型。然后提出了一种新的建模方法,用于SiRVS动态,监测个体的免疫状态,包括耐期性免疫和免疫系统提升。我们展示了一些以前的模型可以被视为我们框架的特殊情况或近似。

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