Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/104379
DC Field | Value | Language |
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dc.contributor.author | Pascoal, R | - |
dc.contributor.author | Rocha, Humberto | - |
dc.date.accessioned | 2023-01-06T11:38:18Z | - |
dc.date.available | 2023-01-06T11:38:18Z | - |
dc.date.issued | 2022-05-01 | - |
dc.identifier.issn | 0378-4371 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/104379 | - |
dc.description.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. | pt |
dc.language.iso | eng | pt |
dc.rights | embargoedAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | pt |
dc.subject | COVID-19; France; Multifractal analysis; Population density | pt |
dc.title | Population density impact on COVID-19 mortality rate: A multifractal analysis using French data | pt |
dc.type | article | - |
degois.publication.firstPage | 126979 | pt |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0378437122000723 | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1016/j.physa.2022.126979 | pt |
degois.publication.volume | 593 | pt |
dc.date.embargo | 2024-04-30 | * |
uc.date.periodoEmbargo | 730 | pt |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | Com Texto completo | - |
crisitem.author.researchunit | INESC Coimbra – Institute for Systems Engineering and Computers at Coimbra | - |
crisitem.author.researchunit | CeBER – Centre for Business and Economics Research | - |
crisitem.author.orcid | 0000-0002-5981-4469 | - |
Appears in Collections: | I&D CeBER - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
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2022_PHYSA.pdf | 1.5 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License