论文标题
关于活跃人群与Covid-19的感染率之间的关系
On the relation between active population and infection rate of COVID-19
论文作者
论文摘要
经验研究了主要站点的乘客人数与东京Covid19的感染率之间的关系。我们基于常规隔间模型的分析表明：1）从真实的感染日到报告感染的那一天的平均时间约为15美元。 2）活性群体密度与感染率之间的缩放关系表明，感染率的增加对活性人群而不是二次，因为在常规的SIR模型中假定。 3）与整体规模关系的显着偏差似乎与人民行为的变化相对应，以应对公众对行动法规的公告。
The relation between the number of passengers in the main stations and the infection rate of COVID19 in Tokyo is empirically studied. Our analysis based on conventional compartment model suggests: 1) Average time from the true day of infection to the day the infections are reported is about $15$ days. 2) The scaling relation between the density of active population and the infection rate suggests that the increase of infection rate is linear to the active population rather than quadratic, as that is assumed in the conventional SIR model. 3) Notable deviations from the overall scaling relation seems to correspond to the change of the peoples's behavior in response to the public announcements of action regulation.
