An analysis of COVID-19 spread based on fractal interpolation and fractal dimension
An analysis of COVID-19 spread based on fractal interpolation and fractal dimension
复制标题
DOI：
10.1016/j.chaos.2020.110073
复制
发表时间：
2020-10-01
影响因子：
7.8
通讯作者：
Necula, Bogdan-Radu
中科院分区：
文献类型：
--
作者：
Pacurar, Cristina-Maria;Necula, Bogdan-Radu
本文从分形插值的角度提出了一种传染病曲线的重构方法。将流行曲线视为分形结构可能是一种有效的方法，可以检索由于测试不足而丢失的信息，并预测疾病的演变。流行病曲线的分形方法可以有助于其他流行病的评估和建模。另一方面，我们考虑了流行病在罗马尼亚、意大利、西班牙和德国等国家的传播，并根据这些国家的分形维数分析了疾病在这些国家的传播。(C)2020爱思唯尔有限公司保留所有权利。
The present paper proposes a reconstruction of the epidemic curves from the fractal interpolation point of view. Looking at the epidemic curves as fractal structures might be an efficient way to retrieve missing pieces of information due to insufficient testing and predict the evolution of the disease. A fractal approach of the epidemic curve can contribute to the assessment and modeling of other epidemics. On the other hand, we have considered the spread of the epidemic in countries like Romania, Italy, Spain, and Germany and analyzed the spread of the disease in those countries based on their fractal dimension. (C) 2020 Elsevier Ltd. All rights reserved.