AusDiab 3: Emerging Risk Factors For And Long-term Incidence Of Cardio-metabolic Diseases
Funder
National Health and Medical Research Council
Funding Amount
$2,616,397.00
Summary
This study will track 11,000 Australian adults over 12 years to determine how many develop diabetes, obesity, kidney and heart disease. The study will develop ways to best predict those who are going to develop these conditions before they have arisen, and will explore a range of novel risk factors to better understand these conditions.
A National Population-based Study Of Rheumatic Heart Disease In Pregnancy
Funder
National Health and Medical Research Council
Funding Amount
$877,826.00
Summary
Whilst overall a rare disease, Indigenous peoples have disproportionately high rates of rheumatic heart disease (RHD). This study explores the prevalence and distribution of RHD in pregnancy in Australia and New Zealand. It details current management, diagnostic and referral process and risk factors. Key attributes of culturally safe models of care for RHD in pregnancy are explored, particularly as they relate to Indigenous women. Findings will inform policy, guidelines and education resources.
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
Reducing Prolonged Workplace Sitting Time In Office Workers: A Cluster-randomised Controlled Trial
Funder
National Health and Medical Research Council
Funding Amount
$524,613.00
Summary
Groundbreaking Australian research shows that sitting for too long, which is routine for most office workers, contributes to overweight and to a greater risk of developing diabetes and heart disease. In over 300 desk-bound office workers, this world-first study will assess the effectiveness of an innovative workplace program aimed at reducing and breaking up sitting time. It will identify practical ways for Australian office workers to minimise unhealthy effects of sitting too much at work.
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Modelling and control of mosquito-borne diseases in Darwin using long-term monitoring. Management of mosquito populations is a high public health priority because these insects can spread diseases such as malaria, dengue, Ross River virus, Barmah Forest virus, Murray Valley encephalitis, Japanese encephalitis and Kunjin/West Nile virus. Our research into the effectiveness of mosquito control programs in Darwin is of immediate national relevance and priority given the need to Safeguard Australia ....Modelling and control of mosquito-borne diseases in Darwin using long-term monitoring. Management of mosquito populations is a high public health priority because these insects can spread diseases such as malaria, dengue, Ross River virus, Barmah Forest virus, Murray Valley encephalitis, Japanese encephalitis and Kunjin/West Nile virus. Our research into the effectiveness of mosquito control programs in Darwin is of immediate national relevance and priority given the need to Safeguard Australia from invasive diseases. There is an urgency to undertake our research because global environmental change and increasing movements of people (particularly military personnel) from overseas regions where these diseases are endemic is increasing the vulnerability of northern Australia to the (re)establishment of mosquito borne diseases.Read moreRead less
Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. ....Linking terrestrial–aquatic fluxes to rectify the Australian carbon balance. This project aims to rectify the Australian carbon balance by determining the amount of terrestrial carbon that is lost to streams and rivers across the country. Through a novel integration of high-resolution hydrochemical and gas measurements, remote sensing and machine learning algorithms, the project intends to generate new knowledge about the links between terrestrial carbon sequestration and aquatic carbon export. Expected outcomes include a refined estimate of the net carbon sequestration potential across Australian biomes and seasons. This should provide significant benefits such as avoiding misalignment of greenhouse gas abatement policies and advancing carbon cycling models and predictions.Read moreRead less