Abstract
The monitoring of road safety trauma outcomes is of significant interest to the Victorian community. Lives lost or counts of fatalities are usually reported in the media and are generally available soon after they occur. Although serious injuries often represent a larger overall burden to the community, the ability to report them is delayed due to the time taken to report and process crash-related data. The aim of this project was to establish whether serious injury counts for crash involved people could be predicted from available data through establishing the availability and suitability of data sources with early indicators of final injury status and from these developing and validating an early prediction model for final validated serious injury.
Original language | English |
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Place of Publication | Melbourne Vic Australia |
Publisher | Monash University |
Number of pages | 216 |
Publication status | Published - 2019 |
Keywords
- statistics
- serious injury
- hospitalisation
- road trauma
- prediction model