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Kschonnek, M.* ; Dobrovolska, I.* ; Protzer, U. ; Zagst, R.*

COVIX—An index allowing for the assessment of the pandemic situation based on infections and hospitalisation data.

Appl. Sci. 13:4554 (2023)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
Monitoring and assessing the severity of the pandemic situation is one of the key challenges that public officials faced during the COVID-19 pandemic. Daily new infections may lead to flawed assessments, as infected individuals lead to different constraints imposed on the health care system amid varying pandemic determinants. On the other hand, hospitalisations or hospital bed occupancy may lead to outdated assessments, as the corresponding data are only observable with considerable delay. In this study, we introduce a hospital beds model, which relates the three quantities of daily new infections, daily hospitalisation rates, and daily hospital bed occupancy in the context of the COVID-19 pandemic. Using this model, we develop COVIX—a severity index that assesses the impact of a pandemic in comparison to a specified reference date while taking infection and disease risks into account. The developed methodology and its implications are illustrated on data for the German federal state of Bavaria.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Covid-19 ; Hospitalisations ; Pandemic Assessment
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 2076-3417
e-ISSN 2076-3417
Zeitschrift Applied Sciences
Quellenangaben Band: 13, Heft: 7, Seiten: , Artikelnummer: 4554 Supplement: ,
Verlag MDPI
Verlagsort Basel
Begutachtungsstatus Peer reviewed
POF Topic(s) 30203 - Molecular Targets and Therapies
Forschungsfeld(er) Immune Response and Infection
PSP-Element(e) G-502700-003
G-502799-701
Förderungen Bavarian Ministry of Science via the FOR-COVID consortium
Scopus ID 85153285487
Erfassungsdatum 2023-11-30