论文标题
社会距离和隔离对流行病扩散的影响：动态密度功能理论模型
Effects of social distancing and isolation on epidemic spreading: a dynamical density functional theory model
论文作者
论文摘要
为了防止流行病的传播，例如冠状病毒疾病，社会疏远和被感染者的隔离至关重要。但是，现有的流行病扩散方程无法描述这些影响。我们提出了一个扩展的疾病扩展模型，该模型基于将SIR模型与动态密度功能理论相结合，其中明确考虑了受感染者的社会距离和隔离。该模型显示了与减少感染数量相关的有趣的非平衡期分离，并可以对大流行的控制有了新的见解。
For preventing the spread of epidemics such as the coronavirus disease COVID-19, social distancing and the isolation of infected persons are crucial. However, existing reaction-diffusion equations for epidemic spreading are incapable of describing these effects. We present an extended model for disease spread based on combining an SIR model with a dynamical density functional theory where social distancing and isolation of infected persons are explicitly taken into account. The model shows interesting nonequilibrium phase separation associated with a reduction of the number of infections, and allows for new insights into the control of pandemics.
