Department of Physics, Indian Institute of Technology Madras, Chennai 600036, India.
Department of Aerospace Engineering, Indian Institute of Technology Madras, Chennai 600036, India.
Chaos. 2022 Apr;32(4):041104. doi: 10.1063/5.0081231.
Coronavirus disease 2019 (COVID-19) has rapidly spread throughout our planet, bringing human lives to a standstill. Understanding the early transmission dynamics of a wave helps plan intervention strategies such as lockdowns that mitigate further spread, minimizing the adverse impact on humanity and the economy. Exponential growth of infections was thought to be the defining feature of an epidemic in its initial growth phase. Here we show that, contrary to common belief, early stages of extreme COVID-19 waves have an unbounded growth and finite-time singularity accompanying a hyperexponential power-law. The faster than exponential growth phase is hazardous and would entail stricter regulations to minimize further spread. Such a power-law description allows us to characterize COVID-19 waves better using single power-law exponents, rather than using piecewise exponentials. Furthermore, we identify the presence of log-periodic patterns decorating the power-law growth. These log-periodic oscillations may enable better prediction of the finite-time singularity. We anticipate that our findings of hyperexponential growth and log-periodicity will enable accurate modeling of outbreaks of COVID-19 or similar future outbreaks of other emergent epidemics.
2019 年冠状病毒病(COVID-19)在全球迅速蔓延,使人类生活陷入停顿。了解一波疫情的早期传播动态有助于制定干预策略,如封锁措施,以减轻进一步传播,最大限度地减少对人类和经济的不利影响。人们曾认为,感染呈指数级增长是疫情在初始增长阶段的特征。在这里,我们表明,与普遍看法相反,极端 COVID-19 波的早期阶段具有无界增长和伴随超指数幂律的有限时间奇点。比指数增长更快的阶段是危险的,需要更严格的规定来最大限度地减少进一步传播。这种幂律描述允许我们使用单个幂律指数更好地描述 COVID-19 波,而不是使用分段指数。此外,我们还确定了在幂律增长中装饰的对数周期性模式的存在。这些对数周期性振荡可能使有限时间奇点的预测更好。我们预计,我们对超指数增长和对数周期性的发现将能够准确地对 COVID-19 或其他新兴传染病未来爆发的疫情进行建模。