Department of Molecular Medicine, University of Padova, Via A. Gabelli 63, 35121 Padova, Italy.
Gene. 2024 Jun 20;912:148334. doi: 10.1016/j.gene.2024.148334. Epub 2024 Mar 7.
The chaos theory, a field of study in mathematics and physics, offers a unique lens through which to understand the dynamics of the COVID-19 pandemic. This theory, which deals with complex systems whose behavior is highly sensitive to initial conditions, can provide insights into the unpredictable and seemingly random nature of the pandemic's spread. In this review, we will discuss some literature data with the aim of showing how chaos theory could provide valuable perspectives in understanding the complex and dynamic nature of the COVID-19 pandemic. In particular, we will emphasize how the chaos theory can help in dissecting the unpredictable, non- linear progression of the disease, the importance of initial conditions, and the complex interactions between various factors influencing its spread. These insights are crucial for developing effective strategies to manage and mitigate the impact of the pandemic.
混沌理论是数学和物理学领域的一个研究分支，为我们理解 COVID-19 大流行的动态提供了一个独特的视角。这个理论处理的是对初始条件高度敏感的复杂系统，可以深入了解大流行传播的不可预测和看似随机的性质。在这篇综述中，我们将讨论一些文献数据，旨在展示混沌理论如何为理解 COVID-19 大流行的复杂和动态性质提供有价值的视角。特别是，我们将强调混沌理论如何帮助剖析疾病不可预测的非线性进展、初始条件的重要性以及影响其传播的各种因素之间的复杂相互作用。这些见解对于制定有效的策略来管理和减轻大流行的影响至关重要。
