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Fractal signatures of the COVID-19 spread.
Abbasi, M; Bollini, A L; Castillo, J L B; Deppman, A; Guidio, J P; Matuoka, P T; Meirelles, A D; Policarpo, J M P; Ramos, A A G F; Simionatto, S; Varona, A R P; Andrade-Ii, E; Panjeh, H; Trevisan, L A.
  • Abbasi M; Instituto de Física, Universidade de São Paulo, Brazil.
  • Bollini AL; Instituto de Física, Universidade de São Paulo, Brazil.
  • Castillo JLB; Instituto de Física, Universidade de São Paulo, Brazil.
  • Deppman A; Instituto de Física, Universidade de São Paulo, Brazil.
  • Guidio JP; Instituto de Física, Universidade de São Paulo, Brazil.
  • Matuoka PT; Instituto de Física, Universidade de São Paulo, Brazil.
  • Meirelles AD; Instituto de Física, Universidade de São Paulo, Brazil.
  • Policarpo JMP; Instituto de Física, Universidade de São Paulo, Brazil.
  • Ramos AAGF; Instituto de Física, Universidade de São Paulo, Brazil.
  • Simionatto S; Instituto de Física, Universidade de São Paulo, Brazil.
  • Varona ARP; Instituto de Física, Universidade de São Paulo, Brazil.
  • Andrade-Ii E; Universidade Estadual de Santa Cruz, Ilhéus, Brazil.
  • Panjeh H; Instituto de Matemática e Estatística, Universidade de São Paulo, Brazil.
  • Trevisan LA; Universidade Estadual de Ponta Grossa, Brazil.
Chaos Solitons Fractals ; 140: 110119, 2020 Nov.
Article in English | MEDLINE | ID: covidwho-639221
Semantic information from SemMedBD (by NLM)
1. Peeling of skin PREDISPOSES COVID-19
Subject
Peeling of skin
Predicate
PREDISPOSES
Object
COVID-19
2. Peeling of skin PREDISPOSES COVID-19
Subject
Peeling of skin
Predicate
PREDISPOSES
Object
COVID-19
ABSTRACT
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 ß of the order of 1.15 is always obtained. Due to the strong indication that scaling is a determinant feature of covid-19 spread, we propose an epidemiological model that embodies a fractal structure, allowing a more detailed description of the observed data about the virus spread in different countries and regions. The hypothesis that fractal structures can be formed in cities as well as in larger networks is tested, indicating that indeed self-similarity may be found in networks connecting several cities.

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Language: English Journal: Chaos Solitons Fractals Year: 2020

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Language: English Journal: Chaos Solitons Fractals Year: 2020
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