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人口密度对新冠死亡率的影响:基于法国数据的多重分形分析

Population density impact on COVID-19 mortality rate: A multifractal analysis using French data.

作者信息

Pascoal R, Rocha H

机构信息

CeBER, FEUC, Univ. Coimbra, Av. Dias da Silva 165, 3004-512 Coimbra, Portugal.

INESC-Coimbra, Rua Sílvio Lima, Polo II, 3030-290 Coimbra, Portugal.

出版信息

Physica A. 2022 May 1;593:126979. doi: 10.1016/j.physa.2022.126979. Epub 2022 Jan 29.

Abstract

The current COVID-19 pandemic caught everyone off guard and is an excellent case study to investigate the real impact of population density on emerging highly contagious infectious diseases. The relationship between the threat of COVID-19 and population density has been widely debated not only in scientific articles, but also in magazines and reports around the world. It appeared both in the columns of experts and in the speeches of politicians, yet without reaching any consensus. In this study, using COVID-19 data from France, we try to shed light on this debate. An alternative density measure, weighted by population, is used. This novel density measure clearly outperforms the commonly used density in terms of relationship with COVID-19 deaths and proved to be competitive with some of the best known predictors, including population. A multifractal analysis, characterizing different space distributions of population in France, is used to further understand the relation between density and COVID-19 mortality rate.

摘要

当前的新冠疫情让所有人猝不及防,是研究人口密度对新出现的高传染性传染病实际影响的绝佳案例。新冠疫情威胁与人口密度之间的关系不仅在科学文章中,而且在世界各地的杂志和报道中都受到了广泛讨论。它既出现在专家专栏中,也出现在政治家的演讲中,但尚未达成任何共识。在本研究中,我们使用来自法国的新冠疫情数据,试图为这场辩论提供线索。我们采用了一种按人口加权的替代密度度量方法。这种新颖的密度度量方法在与新冠死亡病例的关系方面明显优于常用的密度度量方法,并且被证明与一些最知名的预测指标(包括人口)具有竞争力。我们使用了一种多重分形分析来刻画法国人口的不同空间分布,以进一步理解密度与新冠死亡率之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28e9/8799374/af6246d197f4/gr1_lrg.jpg

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