With the characteristics of high incidence, high prevalence and high mortality, stroke has a serious impact on residents’ health and imposes a heavy ecomomic burden on China. In order to simulate the economic burden of stroke in the next 20 years, we construct a simulation platform for Chinese stroke economic burden based on the national stroke screening data. We use the Leslie model for population prediction and the equilibrium model to simulate the stroke economic burden in the platform. The platform constructed in this study can dynamically simulate the stroke economic burden during 2020–2040 by computing the incidence, prevelance and mortality rates from the national stroke screening data or as customized by the user. Based on this platform, we can further develop a warning mechanism at the national level, and provide a guide for the planning and allocation of national health resources.
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