Fractal dimension based geographical clustering of COVID-19 time series data.

Natalia, Yessika Adelwin; Faes, Christel; Neyens, Thomas; Chys, Pieter; Hammami, Naïma; Molenberghs, Geert

Natalia, Yessika Adelwin; Faes, Christel; Neyens, Thomas; Chys, Pieter; Hammami, Naïma; Molenberghs, Geert.

Afiliação

Natalia YA; I-BioStat, Data Science Institute, Hasselt University, 3500, Hasselt, Belgium. yessikaadelwin.natalia@uhasselt.be.
Faes C; I-BioStat, Data Science Institute, Hasselt University, 3500, Hasselt, Belgium.
Neyens T; I-BioStat, Data Science Institute, Hasselt University, 3500, Hasselt, Belgium.
Chys P; I-BioStat, KU Leuven, 3000, Leuven, Belgium.
Hammami N; Team Infection Prevention and Vaccination, Agency for Care and Health, 1030, Brussels, Belgium.
Molenberghs G; Team Infection Prevention and Vaccination, Agency for Care and Health, 1030, Brussels, Belgium.

Sci Rep ; 13(1): 4322, 2023 03 15.

Article em En | MEDLINE | ID: mdl-36922616

Assuntos

COVID-19; Fractais; Humanos; Fatores de Tempo; COVID-19/epidemiologia; Geografia; Bélgica/epidemiologia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fractais / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Bélgica

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