One of the central tools to control the COVID-19 pandemics is the knowledge of its spreading dynamics. Here we develop a fractal model capable of describe this dynamics, in term of daily new cases, and provide quantitative criteria for some predictions. We propose a fractal dynamical model using conformed derivative and fractal time scale. A Burr-XII shaped solution of the fractal-like equation is obtained. The model is tested using data from several countries, showing that a single function is able to describe very different shapes of the outbreak. The diverse behavior of the outbreak on those countries is presented and discussed. Moreover, a criterion to determine the existence of the pandemic peak and a expression to find the time to reach herd immunity are also obtained.
@article{arxiv.2007.07310,
title = {A fractal viewpoint to COVID-19 infection},
author = {Oscar Sotolongo-Costa and José Weberszpil and Oscar Sotolongo-Grau},
journal= {arXiv preprint arXiv:2007.07310},
year = {2020}
}
Comments
16 pages, 8 figures. To be submitted for publicantion