CareLit Fachartikel

EsteR – Decision support for German health departments by risk modelling in order to contain the COVID-19 pandemic. A rapid living review.

Kühne, L.; Brüssermann, S.; De Santis, K.; Jäckle, S.; Grimm, S.; Ha, T.; Zeeb, H. · Das Gesundheitswesen · 2022 · Heft 8/09 · S. 1 bis 1

Dokument
577097
CareLit-ID
Jahr
2022
Publikation
PDF
nein
Metadaten
DOI
ja
zitierfähig

Bibliografische Angaben

Zeitschrift
Das Gesundheitswesen
Autor:innen
Kühne, L.; Brüssermann, S.; De Santis, K.; Jäckle, S.; Grimm, S.; Ha, T.; Zeeb, H.
Ausgabe
Heft 8/09 / 2022
Jahrgang 84
Seiten
1 bis 1
Erschienen: 2022-08-22 13:00:00
ISSN
0941-3790
DOI
10.1055/s-0042-1753829

Zusammenfassung

Einleitung The local health departments in Germany are responsible for the containment of COVID-19 outbreaks. Contacts of individuals who test positive for SARS-CoV-2 are traced and the employees need to assess the risk for secondary infections. The tool developed within the project EsteR is based on statistical risk models and designed to provide decision support. Based on the tool-generated guidance, employees of the health departments can justify their decision for ordering quarantine. A demonstrator tool is freely available as a Shiny App (https: //ester. fraunhofer. de/). The tool is currently under develop…

Schlagworte

COVID-19 Risikomodellierung Entscheidungshilfe Gesundheitsämter SARS-CoV-2 Übertragung Infektionszeitraum epidemiologische Parameter Quarantäne Rapid Review Decision Support Systems Epidemiology Infectious Disease Transmission Public Health Das Gesundheitswesen