Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, Belgium.

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

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

Afiliação

Natalia YA; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Faes C; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Neyens T; I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.
Hammami N; I-BioStat, Leuven Biostatistics and Statistical Bioinformatics Centre, KU Leuven, Leuven, Belgium.
Molenberghs G; Department of Care, Team Infection Prevention and Vaccination, Brussels, Belgium.

Front Public Health ; 11: 1249141, 2023.

Article em En | MEDLINE | ID: mdl-38026374

Assuntos

COVID-19; Fractais; Humanos; Idoso; Bélgica/epidemiologia; COVID-19/epidemiologia; Análise por Conglomerados; Fatores de Risco

Palavras-chave

Belgium; COVID-19; canonical correlation analysis; fractal dimension; socio-demographic indicators

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

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