Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP140101448
Funding Status
Closed
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Funded Activity Summary
Non-linear modelling for predicting patient presentation rates for mass-gatherings. Mass-gatherings are events where crowds gather. Access to health care at these events is critical, though difficult. Complex interrelationships exist between characteristics of events and presenting patient profiles. To prevent overwhelming local hospital and emergency services it is important to accurately predict patient volume. A predictive model constructed through linear modelling has been widely used. Key features affecting patient presentations are non-linear in character and non-linear modelling may provide more accurate patient predictive models. This project provides prospective analysis of data to develop a non-linear predictive model.Funded Activity Details
Start Date: 2014
End Date: 06-2017
Funding Scheme: Discovery Projects
Funding Amount: $247,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Environmental and Occupational Health and Safety | Public Health and Health Services not elsewhere classified | Public Health and Health Services |
ANZSRC Socio-Economic Objective (SEO)
Injury Control | Environmental Health | Health Protection and/or Disaster Response
