论文标题
基于高保真物理的确定性病原体传播模型
A Deterministic Pathogen Transmission Model Based on High-Fidelity Physics
论文作者
论文摘要
已经开发了基于高保真物理的确定性病原体传播模型。该模型结合了计算流体动力学和计算人群动力学，以便能够对通过气溶胶呼出，传播和吸入的病毒物质进行准确的追踪。显示的示例表明，即使有了适度的计算资源，也可以为具有数千平方米，数百个行人和几分钟的物理时间的相对较大的区域模拟病毒物质的传播和传播。从这些模拟中获得的结果以及从这些模拟中获得的见解可用于为全球大流行传播模型提供信息，从而大大提高了它们的准确性。
A deterministic pathogen transmission model based on high-fidelity physics has been developed. The model combines computational fluid dynamics and computational crowd dynamics in order to be able to provide accurate tracing of viral matter that is exhaled, transmitted and inhaled via aerosols. The examples shown indicate that even with modest computing resources, the propagation and transmission of viral matter can be simulated for relatively large areas with thousands of square meters, hundreds of pedestrians and several minutes of physical time. The results obtained and insights gained from these simulations can be used to inform global pandemic propagation models, increasing substantially their accuracy.
