Spatiotemporal mapping of major trauma in Victoria, Australia.

ABSTRACT:

Background

Spatiotemporal modelling techniques allow one to predict injury across time and space. However, such methods have been underutilised in injury studies. This study demonstrates the use of statistical spatiotemporal modelling in identifying areas of significantly high injury risk, and areas witnessing significantly increasing risk over time.

Methods

We performed a retrospective review of hospitalised major trauma patients from the Victorian State Trauma Registry, Australia, between 2007 and 2019. Geographical locations of injury events were mapped to the 79 local government areas (LGAs) in the state. We employed Bayesian spatiotemporal models to quantify spatial and temporal patterns, and analysed the results across a range of geographical remoteness and socioeconom

SUBMITTER: Beck B 

PROVIDER: S-EPMC9258853 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature