论文标题
COVID-19增长的远程相关性
Long-range correlations in Covid-19 growth
论文作者
论文摘要
分形统计数据适用于美国每天的Covid-19案例。 HURST参数表明增长的远程相关性是根据基于美国几个州每日增长的波动来计算的。使用两个控制参数，在家中居住和人口密度分析了不同状态的HURST参数的值。
The fractal statistics were applied to the daily new cases of COVID-19 in the USA. The Hurst parameter, which indicates the long-range correlations in the growth, was calculated using a simple R/S method based on the fluctuations of the daily growth for several US states. The values of Hurst parameters for different states were analyzed using two controlling parameters, stay-at-home order, and the population density.
