论文标题
重态化组方法作为时间依赖的SIR模型
Renormalisation Group approach to pandemics as a time-dependent SIR model
论文作者
论文摘要
我们概括了流行性的重量化群框架，同时将其连接到具有时间依赖系数的SIR模型。然后，我们在丹麦，德国，意大利和法国与Covid-19面对该模型，并表明该方法在复制数据方面非常有效。我们还表明，更好地理解回收率的时间依赖性将需要扩展模型，以考虑到死亡的数量，只要这些死亡人数超过受感染案件总数的15％。
We generalise the epidemic Renormalisation Group framework while connecting it to a SIR model with time-dependent coefficients. We then confront the model with COVID-19 in Denmark, Germany, Italy and France and show that the approach works rather well in reproducing the data. We also show that a better understanding of the time dependence of the recovery rate would require extending the model to take into account the number of deaths whenever these are over 15% of the total number of infected cases.
