Ontology highlight
ABSTRACT: Background
Spatiotemporal analysis of out-of-hospital cardiac arrest (OHCA) risk is essential to design targeted public health strategies. Such information is lacking in the state of Queensland and Australia more broadly.Methods
We developed a spatiotemporal Bayesian model accounting for spatial and temporal dimensions, space-time interactions, and demographic factors. The model was fit to data of all OHCA cases attended by paramedics in Queensland between January 2007 and December 2019. Parameter inference was performed using the integrated nested Laplace approximation method. We estimated and thematically mapped area-year risk of OHCA occurrence for all 78 local government areas (LGAs) in Queensland.Results
We observed spatial variability in OHCA risk among the LG
SUBMITTER: Doan TN
PROVIDER: S-EPMC8463902 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature