To characterize the progression of a pandemic, a well interpretable reproduction number is
introduced which is easily applicable to many different situations due to its handy analytical …

While the mathematical laws of uncontrolled epidemic spreading are well known, the
statistical physics of coronavirus epidemics with containment measures is currently lacking …

The first confirmed case of Coronavirus Disease 2019 (COVID-19) in the US was reported
on January 21, 2020. By the end of March, 2020, there were more than 180,000 confirmed …

We apply a generalised logistic growth model, with time dependent parameters, to describe
the fatality curves of the COVID-19 disease for several countries that exhibit a second wave …

We present a statistical model which can be employed to monitor the time evolution of the
COVID-19 contagion curve, and of the associated reproduction rate R0. The model is a …

The control of Covid 19 epidemics by public health policy in Italy during the first and the
second epidemic waves has been driven by using reproductive number Rt (t) to identify the …

In the analysis of cumulative counts of SARS‐CoV‐2 infections, such as deaths or cases,
common parametric models based on log‐logistic growth curves adapt well to describe a …

Macroscopic growth laws describe in an effective way the underlying complex dynamics of
the spreading of infections, as in the case of Covid-19, where the counting of the cumulative …