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Uncertainty in public health models treated by differential inclusions

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摘要 An application of differential inclusions in the epidemic spread models is presented.Some mostly used epidemic models are discussed here,and a brief survey of epidemic modeling is given.Most of the models are some modifications of the Susceptible–Infected–Recovered model.Simple simulations are carried out.Then,we consider the influence of some uncertain parameters.It is pointed out that the presence of some fluctuating model parameters can be treated by differential inclusions.The solution to such differential inclusion is given in the form of reachable sets for model variables.Here,we focus on the differential inclusion application rather than the model construction.
机构地区 Faculty of Engineering
出处 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2020年第4期224-236,共13页 建模、仿真和科学计算国际期刊(英文)
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