Image_1_Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, Belgium.JPEG
Introduction COVID-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. Methods We collected population indicators data (ethnic composition, socioeconomic status, number of inhabitants, population dens... Mehr ...
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Dokumenttyp: | Image |
Erscheinungsdatum: | 2023 |
Schlagwörter: | Mental Health Nursing / Midwifery / Nursing not elsewhere classified / Aboriginal and Torres Strait Islander Health / Aged Health Care / Care for Disabled / Community Child Health / Environmental and Occupational Health and Safety / Epidemiology / Family Care / Health and Community Services / Health Care Administration / Health Counselling / Health Information Systems (incl. Surveillance) / Health Promotion / Preventive Medicine / Primary Health Care / Public Health and Health Services not elsewhere classified / Nanotoxicology / Health and Safety / Medicine / Nursing and Health Curriculum and Pedagogy / Belgium / canonical correlation analysis / COVID-19 / fractal dimension / socio-demographic indicators |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-26604287 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.3389/fpubh.2023.1249141.s002 |