Fractal signatures of the COVID-19 spread.


Journal

Chaos, solitons, and fractals
ISSN: 0960-0779
Titre abrégé: Chaos Solitons Fractals
Pays: England
ID NLM: 100971564

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 19 06 2020
accepted: 10 07 2020
entrez: 1 2 2021
pubmed: 2 2 2021
medline: 2 2 2021
Statut: ppublish

Résumé

Recent quantitative approaches for studying several aspects of urban life and infrastructure have shown that scale properties allow the understanding of many features of urban infrastructure and of human activity in cities. In this paper, we show that COVID-19 virus contamination follows a similar pattern in different regions of the world. The superlinear power-law behavior for the number of contamination cases as a function of the city population, with exponent

Identifiants

pubmed: 33519108
doi: 10.1016/j.chaos.2020.110119
pii: S0960-0779(20)30516-6
pmc: PMC7833972
doi:

Types de publication

Journal Article

Langues

eng

Pagination

110119

Informations de copyright

© 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

M Abbasi (M)

Instituto de Física, Universidade de São Paulo, Brazil.

A L Bollini (AL)

Instituto de Física, Universidade de São Paulo, Brazil.

J L B Castillo (JLB)

Instituto de Física, Universidade de São Paulo, Brazil.

A Deppman (A)

Instituto de Física, Universidade de São Paulo, Brazil.

J P Guidio (JP)

Instituto de Física, Universidade de São Paulo, Brazil.

P T Matuoka (PT)

Instituto de Física, Universidade de São Paulo, Brazil.

A D Meirelles (AD)

Instituto de Física, Universidade de São Paulo, Brazil.

J M P Policarpo (JMP)

Instituto de Física, Universidade de São Paulo, Brazil.

A A G F Ramos (AAGF)

Instituto de Física, Universidade de São Paulo, Brazil.

S Simionatto (S)

Instituto de Física, Universidade de São Paulo, Brazil.

A R P Varona (ARP)

Instituto de Física, Universidade de São Paulo, Brazil.

E Andrade-Ii (E)

Universidade Estadual de Santa Cruz, Ilhéus, Brazil.

H Panjeh (H)

Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil.

L A Trevisan (LA)

Universidade Estadual de Ponta Grossa, Brazil.

Classifications MeSH