首页> 外文期刊>Mathematical Biosciences: An International Journal >A mathematical modelling framework for linked within-host and between-host dynamics for infections with free-living pathogens in the environment
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A mathematical modelling framework for linked within-host and between-host dynamics for infections with free-living pathogens in the environment

机译:一个数学建模框架,用于链接宿主内部和宿主之间的动力学,以感染环境中自由活动的病原体

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In this study we develop a mathematical modelling framework for linking the within-host and betweenhost dynamics of infections with free-living pathogens in the environment. The resulting linked models are sometimes called immuno-epidemiological models. However, there is still no generalised framework for linking the within-host and between-host dynamics of infectious diseases. Furthermore, for infections with free-living pathogens in the environment, there is an additional stumbling block in that there is a gap in knowledge on how environmental factors (through water, air, soil, food, fomites, etc.) alter many aspects of such infections including susceptibility to infective dose, persistence of infection, pathogen shedding and severity of the disease. In this work, we link the two subsystems (within-host and between-host models) by identifying the within-host and between-host variables and parameters associated with the environmental dynamics of the pathogen and then design a feedback of the variables and parameters across the within-host and between-host models using human schistosomiasis as a case study. We study the mathematical properties of the linked model and show that the model is epidemiologically well-posed. Using results from the analysis of the endemic equilibrium expression, the disease reproductive number R0, and numerical simulations of the full model, we adequately account for the reciprocal influence of the linked within-host and between-host models. In particular, we illustrate that for human schistosomiasis, the outcome of infection at the individual level determines if, when and how much the individual host will further transmit the infectious agent into the environment, eventually affecting the spread of the infection in the host population. We expect the conceptual modelling framework developed here to be applicable to many infectious disease with free-living pathogens in the environment beyond the specific disease system of human schistosomiasis considered here.
机译:在这项研究中,我们开发了一个数学建模框架,用于将感染的宿主内部和宿主之间的动态与环境中自由活动的病原体联系起来。所得的链接模型有时称为免疫流行病学模型。但是,仍然没有用于将传染病的宿主内部和宿主之间动态联系起来的通用框架。此外,对于环境中有自由活动病原体的感染,还有一个绊脚石,因为关于环境因素(通过水,空气,土壤,食物,铁矿石等)如何改变人类健康的许多方面的知识存在差距这些感染包括对感染剂量的敏感性,感染的持续性,病原体脱落和疾病的严重性。在这项工作中,我们通过识别与病原体环境动力学相关的宿主内和宿主间变量和参数,链接两个子系统(宿主内模型和宿主间模型),然后设计变量和参数的反馈使用人类血吸虫病作为案例研究在宿主内部和宿主之间模型中进行研究。我们研究了链接模型的数学性质,并表明该模型在流行病学上是正确的。使用地方病均衡表达,疾病繁殖数R0和完整模型的数值模拟的分析结果,我们充分考虑了宿主内部模型和宿主之间模型的相互影响。特别是,我们说明了对于人类血吸虫病,个体感染的结果决定了个体宿主是否,何时以及多少将感染因子进一步传播到环境中,最终影响感染在宿主人群中的传播。我们希望此处开发的概念建模框架可应用于此处所考虑的人类血吸虫病特定疾病系统之外的环境中具有自由活动病原体的许多传染病。

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