Additional file 2 of Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case
Additional file 2: : Figure S2. Principal component analysis (PCA) based on all spatial covariates as well as measures of hospitalisation incidence (HI). Specifically, we here included in the ACP HI values computed for the period corresponding to the first (01/03–31/05/2020) and the second (01/09–30/11/2020) epidemic waves. Each dot corresponds to a distinct hospital catchment area (HCA) and is displayed with an area proportional to the HI value computed for the entire epidemic period under consideration (01/03–30/11/20).
Verfasser: | |
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Dokumenttyp: | Text |
Erscheinungsdatum: | 2021 |
Schlagwörter: | Medicine / Biotechnology / Cancer / Inorganic Chemistry / Plant Biology / Computational Biology / Environmental Sciences not elsewhere classified / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Information Systems not elsewhere classified / COVID-19 / Hospitalisation incidence / Spatial covariates / Temporal covariates / Boosted regression trees / Belgium |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28953234 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.6084/m9.figshare.14782539.v1 |