Benefits of linking routine medical records to the GUiNZ longitudinal birth cohort: Childhood injury predictors
Combining self-reported longitudinal cohort data with routine healthcare data can help mitigate the limitations of each data type. Linking these datasets addresses missing data issues, reduces recall and information biases, and validates both data sources.
Who Are The 1M and 1X? Police Engagement with Citizens in Mental Distress
Using Statistics New Zealand’s Integrated Data Infrastructure (IDI) would enable linkage between NZ Police, health and social sector data, to better understand citizens in mental distress.
Pacific Rheumatic Fever Project
The Pacific People’s Health Advisory Group (PPHAG) and the Pacific Practice-Based Research Network (PPBRN) are working together to address health inequities faced by Pacific communities in South Auckland.
Data analytics and visualisation for improving public health and transport planning
Research digital skills training 2021 Data analytics and visualisation for improving public health and transport planning Professor Mark Gahegan, Computer Science; Assoc Professor Daniel Exeter, Epidemiology and Biostatistics; Professor David O’Sullivan, Victoria...
Remote temperature monitoring to reduce the spread of COVID-19
Remote temperature device for rest homes a world first
COVID-19 exponential growth visualisation
Visualise trajectories of the COVID epidemic
Virtual childhood obesity prevention laboratory
Virtual childhood obesity prevention laboratory Professor Ni Mhurchu, Programme Leader, Population Health. University of Auckland. Deep learning & analytics provided by Sina Masoud-Ansari, Research IT Specialist, Centre for eResearch, University of Auckland...
Modelling of costs of diets by INFORMAS
Modelling of costs of diets by INFORMAS Dr Stefanie Vandevjvere, Senior Research Fellow, Sally MacKay, PhD candidate, Population Health, Faculty of Medical and Health Science, University of Auckland. Programme modelling and analytics developed by Nick Young, Research...