Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case

Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case

Abstract Background The COVID-19 pandemic is affecting nations globally, but with an impact exhibiting significant spatial and temporal variation at the sub-national level. Identifying and disentangling the drivers of resulting hospitalisation incidence at the local scale is key to predict, mitigate...

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Bibliographic Details
Main Authors: Simon Dellicour, Catherine Linard, Nina Van Goethem, Daniele Da Re, Jean Artois, Jérémie Bihin, Pierre Schaus, François Massonnet, Herman Van Oyen, Sophie O. Vanwambeke, Niko Speybroeck, Marius Gilbert
Format: Article
Language:English
Published: BMC 2021-06-01
Series:International Journal of Health Geographics
Subjects:
COVID-19
Hospitalisation incidence
Spatial covariates
Temporal covariates
Boosted regression trees
Belgium
Online Access:https://doi.org/10.1186/s12942-021-00281-1

Internet

https://doi.org/10.1186/s12942-021-00281-1

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