Estimation of the number of seriously injured road traffic casualities in Germany based on GIDAS, using a decision tree method and the TraumaRegister DGU-®

  • In line with the new definition introduced by the European Commission (EC), the number of seriously injured road casualties in Germany for 2014 is assessed in this study. The number of MAIS3+ casualties is estimated by two different methodological approaches. The first approach is based on data from the German In‐Depth Accident Study (GIDAS), which is closely related to the German Road Traffic Accident Statistics. The second approach is based on data from the German TraumaRegister DGU-® (TR‐DGU), which includes many more hospitals but not all MAIS3+ injuries.

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Metadaten
Author:Sandra Niesen, Kerstin Auerbach, Markus Lerner, Claus Pastor, Andreas Schepers, Marcus Wisch, Rolf Lefering, Axel Malczyk, Uli Schmucker
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2018/10/31
Contributing corporation:Universität Witten/Herdecke, Institut für Forschung in der Operativen Medizin (IFOM)
Release Date:2018/10/31
Tag:Demografie; Frontalzusammenstoß; Klassifizierung; Krankenhaus; Medizinische Untersuchung; Motorradfahrer; Schweregrad (Unfall; Tödlicher Unfall; Verletzung; Verletzung)
Classification; Demography; Fatality; Head on collision; Hospital; Injury; Medical examination; Motorcyclist; Severity (accid; injury)
Comment:
Außerdem beteiligt: Unfallforschung der Versicherer, Berlin ;  
Akademie für Unfallchirurgie, München

Volltext frei verfügbar unter: http://www.ircobi.org/wordpress/downloads/irc16/pdf-files/19.pdf
Source:IRCOBI Conference Proceedings 2016, Paper No. 19
Institutes:Abteilung Verhalten und Sicherheit im Verkehr / Abteilung Verhalten und Sicherheit im Verkehr
Abteilung Fahrzeugtechnik / Abteilung Fahrzeugtechnik
Sonstige / Sonstige
Dewey Decimal Classification:3 Sozialwissenschaften / 31 Statistiken / 310 Sammlungen allgemeiner Statistiken
collections:BASt-Beiträge / ITRD Sachgebiete / 83 Unfall und Mensch

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