Group of Nonlinear Physics, Institute CRETUS, Faculty of Physics, University of Santiago de Compostela, 15782, Santiago de Compostela, Spain.
Sci Rep. 2021 Jan 19;11(1):1772. doi: 10.1038/s41598-021-81149-z.
The evolution of the COVID19 pandemic worldwide has shown that the most common and effective strategy to control it used worldwide involve imposing mobility constrains to the population. A determinant factor in the success of such policies is the cooperation of the population involved but this is something, at least, difficult to measure. In this manuscript, we propose a method to incorporate in epidemic models empirical data accounting for the society predisposition to cooperate with the mobility restriction policies.
全球范围内 COVID19 大流行的演变表明,全球最常用且有效的控制方法是对人群施加流动性限制。此类政策成功的一个决定性因素是相关人群的合作,但这至少是难以衡量的。在本文中,我们提出了一种方法,将考虑社会对流动性限制政策合作倾向的经验数据纳入到流行模型中。