This research Project investigates the best way to represent the spatial disparity of diseases, to enable decision makers the best access to localised spatial health data. The initial focus of the Project is on cancer, with the results then to be applied to other diseases.
Better management of disease will be achieved through the development and application of new ways of
- small area disease mapping
- modelling disease and potential risk factors
- visualising the results of these models linking this new information on the spatial and temporal distribution of disease and associated risk factors with health service utilisation
These research results will be more easily communicated through the visualisation tool developed in Project 4.4.1.
Su Yun has submitted a conference paper to the 20th International Congress on Modelling and Simulation (MODSIM2013) which will be held in Adelaide on 1-6 Dec...
Nicole visited Professor Nicky Best and colleagues at the School of Public Health, Imperial College London. During this trip, she worked on the extension of spatio-temporal models for detecting unusual regional trends in diabetes incidence...
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