Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, Belgium
IntroductionCOVID-19 remains a major concern globally. Therefore, it is important to evaluate COVID-19's rapidly changing trends. The fractal dimension has been proposed as a viable method to characterize COVID-19 curves since epidemic data is often subject to considerable heterogeneity. In this study, we aim to investigate the association between various socio-demographic factors and the complexity of the COVID-19 curve as quantified through its fractal dimension.MethodsWe collected population indicators data (ethnic composition, socioeconomic status, number of inhabitants, population density... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | Frontiers in Public Health, Vol 11 (2023) |
Verlag/Hrsg.: |
Frontiers Media S.A.
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Schlagwörter: | Belgium / canonical correlation analysis / COVID-19 / fractal dimension / socio-demographic indicators / Public aspects of medicine / RA1-1270 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-28938490 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3389/fpubh.2023.1249141 |