Bridging The Gap Between Cartilage Biology And Osteoarthritis Risk Prediction
Funder
National Health and Medical Research Council
Funding Amount
$512,256.00
Summary
Osteoarthritis is a painful and debilitating cartilage disease affecting just under 1 in 10 Australians and costs the Australian economy roughly $12 billion per year. This project will develop computational models of cartilage with the ability to incorporate genetic and environmental risk factors into a predictive model of cartilage disease.
Stochastic modelling of spatiotemporal nonlinear diffusion processes with multifractal characteristics. This research is relevant to solute transport and plume evolution in heterogeneous media. Detailed modelling of these processes is computer-intensive, while the diffusion models of this project offer a more economical alternative. Our study will also benefit the research on the salinity problem. Excessive demand for irrigation water to support agricultural production has stretched freshwater a ....Stochastic modelling of spatiotemporal nonlinear diffusion processes with multifractal characteristics. This research is relevant to solute transport and plume evolution in heterogeneous media. Detailed modelling of these processes is computer-intensive, while the diffusion models of this project offer a more economical alternative. Our study will also benefit the research on the salinity problem. Excessive demand for irrigation water to support agricultural production has stretched freshwater aquifers beyond their long-term yield. Large areas of land have been lost to saltwater intrusion. This proposal will provide suitable tools to predict the level and movement of saltwater in the aquifers. Application to the development of management strategies would bring direct benefit to coastal areas where salinity is a sustainability issue.Read moreRead less
Mathematical Modelling For Improved Planning Of Infectious Diseases Control Policy
Funder
National Health and Medical Research Council
Funding Amount
$2,750,000.00
Summary
We will develop high-level technical capacity in mathematical modeling of infectious disease transmission and control in Australia, with a focus on research that informs health policy. The aim is to assist Australia to have efficient and effective control strategies and help to prepare us against the threat of emerging infections. Priority areas are vaccination programs, HIV-AIDS, emerging infections and bio-terrorism. Six talented young researchers will be trained by the lead applicant team. To ....We will develop high-level technical capacity in mathematical modeling of infectious disease transmission and control in Australia, with a focus on research that informs health policy. The aim is to assist Australia to have efficient and effective control strategies and help to prepare us against the threat of emerging infections. Priority areas are vaccination programs, HIV-AIDS, emerging infections and bio-terrorism. Six talented young researchers will be trained by the lead applicant team. Together, we will develop a prominent and experienced research team capable of sustaining international quality research into the future. Their work will meet immediate, existing policy needs at state, national and global levels. The program includes the establishment of a Network of Infectious Diseases Modellers of Australia (NIDMA) as a research resource of national expertise, peer support and a means of ongoing communication and collaboration in infectious diseases control. The critical mass of modeling expertise that we create will be sustainable long-term, and will expand to support research concerned with chronic and other non-infectious diseases after the lifetime of the grant.Read moreRead less
Stochastic modelling and analysis of spatio-temporal processes with fractal characteristics. Interest has grown in recent years on the derivation of fractal models to represent certain physical phenomena such as diffusion and transport in porous media, oceanic and atmospheric turbulence, climatology, etc. This project focuses on the phenomenon of diffusion on domains with multifractal geometry. Recent advances in harmonic analysis on fractals and our own development of fractional generalized ran ....Stochastic modelling and analysis of spatio-temporal processes with fractal characteristics. Interest has grown in recent years on the derivation of fractal models to represent certain physical phenomena such as diffusion and transport in porous media, oceanic and atmospheric turbulence, climatology, etc. This project focuses on the phenomenon of diffusion on domains with multifractal geometry. Recent advances in harmonic analysis on fractals and our own development of fractional generalized random fields allow us to formulate a comprehensive program to tackle some key problems including modeling, processing and statistical estimation of fractional diffusion. Advances made in this program will in turn benefit the developments in related scientific fields.Read moreRead less
Assessment Of Interventions For Controlling Pandemic Influenza And Determining Data Needs To Inform These Assessments
Funder
National Health and Medical Research Council
Funding Amount
$183,040.00
Summary
The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at ri ....The aim of this study is to help us prepare for a pandemic of influenza by comparing how effective the various available control strategies are at reducing transmission of the disease. The available control interventions include: reducing the number of close contacts we make with others, isolating cases after they are diagnosed, closing schools, quarantining households, quarantining individuals who are known to have been exposed to a case, and using antiviral drugs treat and protect people at risk of being infected. We will compare these control measures by taking due account of the ability and resources available for these interventions, and with regard to the need to maintain essential services. The comparisons will be made using mathematical models that describe the transmission of the infection. All available data and advice from experts will be used to ensure that realistic models are used for the comparisons. We will also use the models to determine the best use of the limited antiviral drugs available, until a vaccine becomes available. We will consider how the control strategy should be changed if a strain develops that is resistant to the antiviral drugs. In addition, we will determine what data need to be collected during the early stages of a pandemic to help us to determine the best use of the antiviral drugs, the best use of a new vaccine and to check on the development of resistance to the antiviral drugs.Read moreRead less
Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the ....Increasing the effectiveness of quantitative verification. The ability to analyse the performance of complex systems and protocols is a vital part of the development of large-scale computer applications. Methods that improve the effectiveness of the analysis task would increase the competitiveness of the software industry, and would attract future development work (in complex systems) to Australia. The results of this project will have a direct influence on currently available design tools; the fact that Australian institutions will be (in part) responsible for key theoretical results in this growing field will strengthen Australia's position worldwide as an international centre for computer science.Read moreRead less
Operator-Analytic Methods in Telecommunication Systems. Many systems in information technology and telecommunications evolve under conditions of uncertainty. In this context, mathematical modelling is an essential component of the design process. We shall provide techniques for analysing a class of mathematical models, called operator-analytic models, which can be used to study many of the above-mentioned systems, such as the Internet. This project will deliver efficient numerical algorithms tha ....Operator-Analytic Methods in Telecommunication Systems. Many systems in information technology and telecommunications evolve under conditions of uncertainty. In this context, mathematical modelling is an essential component of the design process. We shall provide techniques for analysing a class of mathematical models, called operator-analytic models, which can be used to study many of the above-mentioned systems, such as the Internet. This project will deliver efficient numerical algorithms that will make possible practical analysis of operator-analytic models.Read moreRead less
Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results wi ....Bayesian Inference for Multivariate Hierarchical Regression Models. This project will develop Bayesian methodology for analysing multivariate regression models. The distribution of each measurement can be discrete or continuous, with the dependence between measurements obtained through the correlation matrix of a Gaussian copula. Model parsimony is obtained by identifying zero elements in the correlation matrix or its inverse and by variable selection on the regression parameters. The results will be applied to solve problems in finance, health management and marketing. In all these fields multiple observations are often taken per individual or time period and the models need to incorporate measures of dependence and uncertainty.Read moreRead less
Optimising Intervention Strategies To Reduce The Burden Of Group A Streptococcus In Aboriginal Communities
Funder
National Health and Medical Research Council
Funding Amount
$856,896.00
Summary
Skin sores are highly prevalent in remote Australian Indigenous communities and can lead to invasive infections and rheumatic heart disease. We will develop mathematical models to understand the transmission of skin sores, allowing us to define the optimal extent (household, community, region), timing and triggers for interventions to interrupt transmission. This will guide public health policy in reducing the prevalence of skin sores and scabies, and their accompanying disease burden.
Biofocussed Prostate Cancer RadioTherapy (BiRT): A Personalised Approach To Delivering The Right Dose To The Right Place
Funder
National Health and Medical Research Council
Funding Amount
$753,565.00
Summary
We propose a new approach to treating prostate cancer with radiotherapy to move from the standard whole prostate treatment to a personalised treatment that varies radiation intensity throughout the prostate. We will mathematically combine features that influence radiotherapy effect from advanced imaging, clinical and biopsy information. This model will map out the radiotherapy dose required at each part of the prostate, to maximise killing of the cancer whilst minimising harm to normal tissue