A deterministic pathogen transmission model based on high-fidelity physics
A deterministic pathogen transmission model based on high-fidelity physics
复制标题
基于高保真物理的确定性病原体传播模型
DOI：
10.1016/j.cma.2022.114929
复制
发表时间：
2022
影响因子：
7.2
通讯作者：
Oñate, Eugenio
中科院分区：
文献类型：
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作者：
Löhner, Rainald;Antil, Harbir;Gimenez, Juan Marcelo;Idelsohn, Sergio;Oñate, Eugenio
建立了一种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，以便能够准确追踪通过气溶胶呼出、传播和吸入的病毒物质。所示的例子表明，即使在有限的计算资源下，病毒物质的传播和传播也可以在数千平方米、数百名行人和几分钟的物理时间内进行模拟。从这些模拟中获得的结果和见解可用于为全球大流行传播模型提供信息，从而大大提高其准确性。
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.