Cargando…
Key risk factors associated with fractal dimension based geographical clustering of COVID-19 data in the Flemish and Brussels region, Belgium
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 t...
Autores principales: | Natalia, Yessika Adelwin, Faes, Christel, Neyens, Thomas, Hammami, Naïma, Molenberghs, Geert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654974/ https://www.ncbi.nlm.nih.gov/pubmed/38026374 http://dx.doi.org/10.3389/fpubh.2023.1249141 |
Ejemplares similares
-
Fractal dimension based geographical clustering of COVID-19 time series data
por: Natalia, Yessika Adelwin, et al.
Publicado: (2023) -
The COVID-19 wave in Belgium during the Fall of 2020 and its association with higher education
por: Natalia, Yessika Adelwin, et al.
Publicado: (2022) -
The Effect of Transborder Mobility on COVID-19 Incidences in Belgium
por: Brackx, Febe, et al.
Publicado: (2022) -
The doubling effect of COVID-19 cases on key health indicators
por: Petrof, Oana, et al.
Publicado: (2022) -
Key performance indicators of COVID-19 contact tracing in Belgium from September 2020 to December 2021
por: Kremer, Cécile, et al.
Publicado: (2023)