In this paper, we demonstrate that the lattice Boltzmann method can be successfully adopted to investigate the dynamics of epidemics. Numerical simulations prove the excellent accuracy properties of the approach, which recovers the solution of the popular SIR model. Because spatial effects are naturally accounted for in the lattice Boltzmann formulation, the present scheme appears to be more competitive than traditional solution procedures. Interestingly, it allows us to simulate scenarios characterized by selective lockdown configurations.

中文翻译：

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通过格子玻尔兹曼方法对流行病进行建模。

在本文中，我们证明了格子Boltzmann方法可以成功地用于研究流行病的动力学。数值仿真证明了该方法的出色的精度特性，从而恢复了流行的SIR模型的解。由于空间效应是格子Boltzmann公式中自然产生的原因，因此本方案似乎比传统解决方案更具竞争力。有趣的是，它允许我们模拟以选择性锁定配置为特征的方案。