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: | Journal contribution |
Erscheinungsdatum: | 2021 |
Verlag/Hrsg.: |
figshare
|
Schlagwörter: | Medicine / Biotechnology / 59999 Environmental Sciences not elsewhere classified / FOS: Earth and related environmental sciences / 69999 Biological Sciences not elsewhere classified / FOS: Biological sciences / 80699 Information Systems not elsewhere classified / FOS: Computer and information sciences / 19999 Mathematical Sciences not elsewhere classified / FOS: Mathematics / Cancer / Inorganic Chemistry / FOS: Chemical sciences / Plant Biology / Computational Biology |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970074 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.14782539.v1 |