Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/104379
Title: Population density impact on COVID-19 mortality rate: A multifractal analysis using French data
Authors: Pascoal, R
Rocha, Humberto 
Keywords: COVID-19; France; Multifractal analysis; Population density
Issue Date: 1-May-2022
Volume: 593
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.
URI: https://hdl.handle.net/10316/104379
ISSN: 0378-4371
DOI: 10.1016/j.physa.2022.126979
Rights: embargoedAccess
Appears in Collections:I&D CeBER - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat Login
2022_PHYSA.pdf1.5 MBAdobe PDFEmbargo Access    Request a copy
Show full item record

SCOPUSTM   
Citations

11
checked on Apr 22, 2024

WEB OF SCIENCETM
Citations

7
checked on Apr 2, 2024

Page view(s)

89
checked on Apr 23, 2024

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons