Výsledky vyhledávání - "Bihin, Jérémie"

Akademický článek

Spatial accessibility to health facilities in Sub-Saharan Africa: comparing existing models with survey-based perceived accessibility.

Autor: Bihin, Jérémie^1,2 (AUTHOR), De Longueville, Florence^1,2 (AUTHOR), Linard, Catherine^1,2,3 (AUTHOR) catherine.linard@unamur.be

Publikováno v: International Journal of Health Geographics. 11/12/2022, Vol. 21 Issue 1, p1-11. 11p.

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Additional file 3 of Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case

Autor: Dellicour, Simon, Linard, Catherine, Van Goethem, Nina, Da Re, Daniele, Artois, Jean, Bihin, Jérémie, Schaus, Pierre, Massonnet, François, Van Oyen, Herman, Vanwambeke, Sophie O., Speybroeck, Niko, Gilbert, Marius

Additional file 3: : Figure S3. Response curves estimated for the boosted regression trees (BRT) model trained on measures of hospitalisation incidence (HI) computed for the entire epidemic period under consideration (01/03–30/11/2020).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c87e69812a40beb81337c5c275ee74c

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Additional file 1 of Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case

Additional file 1: Figure S1. Visual comparison between the evolution of daily new hospitalisations and the evolution of the temporal covariates considered in the present study. All temporal covariates were averaged over a distinct hospital catchment

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Additional file 4 of Investigating the drivers of the spatio-temporal heterogeneity in COVID-19 hospital incidence—Belgium as a study case

Additional file 4: Table S1. Analyses of the potential predictors of spatial heterogeneity in hospitalisation incidence of nursing home (NH) residents. This table is equivalent to Table 1 and summarises the results of univariate linear regression (UL

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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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d99b64111c64b1dc7519ae45fae1310

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Akademický článek

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