The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling f ....The Molecular Basis of Nanoparticle Resistance in Mixed-Species Biofilm. The project aims to understand how the globally significant mixed-species growth of pathogens develop resistance to silver nanoparticle, currently one of the most important alternative antimicrobials to antibiotics. The integrated research is to elucidate, for the first time, the nanoparticle multi-targeting toxicity on mixed-species bacterial community and how, in turn, the bacteria activate their cell-to-cell signalling for a synergistic defence to adapt to the nanoparticle toxicity. The pioneering knowledge is the foundation for technologies targeting the interspecies metabolite cross-talking to overcome the resistance phenomena, ensuring a long-term efficacy of the alternative antimicrobial on the difficult-to-control pathogenic growth.Read moreRead less
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 f ....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.Read moreRead less
The unfolding story of the 2009 Adelaide heatwave: risk factors for mortality and morbidity. This project will conduct a case control study in Adelaide to explore the risk factors of extra health burden related to the 2009 heatwave. Given the prediction of more extreme heat events, this study will provide important information for policy makers and service providers to assist in the development of more resilient communities to climate change.