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An approach to modelling and simulation of epidemics of diseases from pathogens spreading over water distribution systems

机译:分布在供水系统中的病原体疾病流行病的建模和仿真方法

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The paper describes a method for construction and analysis of a combined simulation model of epidemics of diseases due to pathogens spreading over water distribution systems (WDS). The implemented model is composed of three main elements dealing with simulation of pathogen spreading over WDS, simulation of epidemics within an area inhabited by many (interconnected) populations and optimization tools for calibrating the values of parameters present in the models. The element related to modelling the pathogen spread over WDS is based on a widely used EPANET methodology for the analysis of hydraulics in water supply networks. The other element of our approach for epidemics simulation refers to a generalized model of epidemic based on the standard SIR model. Both these modelling and simulation tools are supported by optimization procedures for calibration. To this end we propose two different kinds of tools: the first is a version of a Gauss-Newton procedure for nonlinear least-squares problems; the second solves a multiobjective optimization problem with the help of evolutionary algorithms. We show, using the well-known Walkerton case, that relatively few empirical data points are needed to build epidemic model with good forecasting properties.
机译:本文介绍了一种构建和分析由于病原体在水分配系统(WDS)上传播而引起的疾病流行的组合模拟模型的方法。所实现的模型由三个主要元素组成,这些元素涉及在WDS上传播病原体的模拟,在许多(相互关联)种群居住的区域内的流行病的模拟以及用于校准模型中存在的参数值的优化工具。与在WDS上传播病原体的建模有关的元素基于广泛使用的EPANET方法论,用于分析供水网络中的水力。我们用于流行病模拟的方法的另一个要素是基于标准SIR模型的广义流行病模型。这些建模和仿真工具均受用于校准的优化过程的支持。为此,我们提出了两种不同的工具:第一种是用于非线性最小二乘问题的Gauss-Newton过程的版本。第二种借助进化算法解决了多目标优化问题。我们使用著名的Walkerton案例表明,建立具有良好预测属性的流行病模型所需的经验数据点相对较少。

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