Neri I, Gammaitoni L
NiPS Lab, Dipartimento di Fisica e Geologia, Università degli studi di Perugia, 06010, Perugia, Italy.
Sci Rep. 2021 Mar 19;11(1):6452. doi: 10.1038/s41598-021-85808-z.
Most popular statistical models in epidemic evolution focus on the dynamics of average relevant quantities and overlooks the role of small fluctuations on the model parameters. Models for Covid-19 are no exception. In this paper we show that the role of time-correlated fluctuations, far from being negligible, can in fact determine the spreading of an epidemic and, most importantly, the resurgence of the exponential diffusion in the presence of time-limited episodes in promiscuity behaviours. The results found in this work are not only relevant and specific for the Covid-19 epidemic but are more general and can be applied to other epidemics.
大多数流行的疫情演变统计模型关注的是平均相关量的动态变化,而忽略了小波动对模型参数的作用。新冠疫情模型也不例外。在本文中,我们表明,与时间相关的波动作用远非微不足道,实际上它可以决定疫情的传播,最重要的是,在存在性行为混乱的限时事件时,指数扩散的复苏情况。这项工作中发现的结果不仅与新冠疫情相关且具有特异性,而且更具普遍性,可应用于其他疫情。