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ZENODO
Dataset . 2025
License: CC BY
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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
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Ergebnisdatensatz BURDEN 2020 – Krankheitslast in Deutschland und seinen Regionen

Authors: Robert Koch-Institut;

Ergebnisdatensatz BURDEN 2020 – Krankheitslast in Deutschland und seinen Regionen

Abstract

Kennzahlen der Krankheitslast (engl. Burden of Disease) rücken für eine Vielzahl von Anwendungsmöglichkeiten, unter anderem im Öffentlichen Gesundheitsdienst des Bundes und der Länder, in Forschung, Entwicklung und anderen Bereichen des Gesundheitswesens, zunehmend in den Vordergrund. Sie erfassen den Gesundheitszustand einer Bevölkerung mit Hilfe einer konsistenten Metrik. Auch als Summenmaße der Bevölkerungsgesundheit bezeichnet, integrieren sie verschiedene Erkrankungen und Verletzungen als Ursachen für gesundheitliche Beeinträchtigungen (Morbidität) und Versterben (Mortalität). Standardisierte Berechnungsverfahren ermöglichen es, die Bedeutung einzelner Erkrankungen zu quantifizieren und zueinander ins Verhältnis zu setzen. Die Möglichkeit zur Stratifizierung nach Region, Alter oder Geschlecht lässt darüber hinaus eine differenzierte Betrachtung zu. Zu den Kennzahlen zählen der Indikator für die Krankheitslast insgesamt (DALY), welcher sich aus der Summe der beiden Einzelkomponenten zur Mortalität (YLL) und Morbidität (YLD) ergibt. Diese Indikatoren wurden im Rahmen des Projektes "BURDEN 2020 – Die Krankheitslast in Deutschland und seinen Regionen" auf nationaler sowie regionaler Ebene bestimmt. Mit der vorliegenden Datenveröffentlichung wird der Ergebnisdatensatz des Projekts zur freien Verfügung gestellt (Open Data). Sie enthält den Aufbau und Inhalt des Ergebnisdatensatzes, einen kurzen Überblick zum Projekt, den verwendeten Datenquellen und eingesetzten Verfahren zur Bestimmung der Einzelindikatoren. Die Ergebnisdaten wurden zur Veranschaulichung des Konzepts auf der Webseite www.daly.rki.de visualisiert.

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Keywords

Wunden und Verletzungen, Atemwegsinfektionen, Chronisch obstruktive Lungenerkrankung, Todesursache, Koronare Herzkrankheit, Nackenschmerz, Diabetes mellitus, Open Data, Kopfschmerz, Cause of Death, Germany, Traffic Accidents, Brustkrebs, Coronary Heart Disease, years of life lost, disability-adjusted life years, Respiratory Tract Infections, Prostatakrebs, Cancer, Prostate cancer, Neck Pain, RKI, Krankheitslast, Depression, Prostate Cancer, Lung Cancer, Headache, Anxiety Disorders, Nichtübertragbare Krankheiten, Breast Tumor, Stroke, Hypertensive Herzkrankheit, Hypertensive heart disease, Cardiovascular Diseases, Darmkrebs, Verkehrsunfälle, Übertragbare Krankheiten, Substanzbezogenen Störungen, Krebserkrankung, Schlaganfall, Substance-Related Disorders, Chronic Obstructive Pulmonary Disease, Kreuzschmerzen, Burden of Disease, Lungenkrebs, Communicable Diseases, Intestinal Neoplasms, COPD, Herz-Kreislauf-Krankheiten, Deutschland, Noncommunicable Diseases, info:ddc/22/de//614.42, info:ddc/22/eng//614.42, Demenz, years lived with disability, Angststörungen, Wounds and Injuries, Dementia, Low Back Pain

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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