Legal risk management of adverse health outcomes and injury in the fitness industry: developing evidence-informed regulation that improves safety. This project analyses Australian laws, policies and practices designed to manage legal risks and liabilities in the fitness industry, and assesses their effectiveness in preventing adverse health outcomes, injuries, and the legal liability associated with those risks.
Discovery Early Career Researcher Award - Grant ID: DE180100022
Funder
Australian Research Council
Funding Amount
$368,446.00
Summary
Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise ....Characterising wind farm noise to reduce community disturbance. This project aims to address the issue of wind farm noise. The rapid global expansion of wind farm facilities has resulted in widespread community complaints regarding noise emission. This project aims to identify, quantify and characterise the signal components of wind farm noise that are responsible for annoyance and sleep disturbance. The anticipated outcome is establishment of dose-response relationships between wind farm noise and community disturbance. Significant benefits include improved health and quality of life for people living near wind farms and greater public acceptance of wind farms in rural communities.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
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE210100137
Funder
Australian Research Council
Funding Amount
$881,758.00
Summary
Australian Environmental Specimen Bank: advancing specimen bank capability. The aim of this LIEF is to advance Australia’s specimen banking capabilities through a new, enhanced national facility, the Australian Environmental Specimen Bank (AESB). The AESB would be founded on a unique current archive of human and environmental samples established by the partners to the LIEF. Importantly, the AESB would be managed as a nationally available (to all public sector researchers), operationally self-fun ....Australian Environmental Specimen Bank: advancing specimen bank capability. The aim of this LIEF is to advance Australia’s specimen banking capabilities through a new, enhanced national facility, the Australian Environmental Specimen Bank (AESB). The AESB would be founded on a unique current archive of human and environmental samples established by the partners to the LIEF. Importantly, the AESB would be managed as a nationally available (to all public sector researchers), operationally self-funded resource for integrated exposure research into the future. The archive is expected to support longitudinal and cross-sectional studies to assess trends in exposure to chemical and biological hazards in the Australian population, identify emerging hazards, and provide a scientific basis for policy and regulatory actions.Read moreRead less
Estimating per capita use and release of chemicals by wastewater analysis. This project aims to systematically collect and analyse wastewater to assess human exposure to chemicals including drugs, pharmaceuticals, lifestyle chemicals and environmental pollutants. By combining temporal sampling from key sewage treatment plants with comprehensive nationwide sampling over the week of the 2016 census day, the project expects to estimate the per-capita human exposure to chemicals in the Australian po ....Estimating per capita use and release of chemicals by wastewater analysis. This project aims to systematically collect and analyse wastewater to assess human exposure to chemicals including drugs, pharmaceuticals, lifestyle chemicals and environmental pollutants. By combining temporal sampling from key sewage treatment plants with comprehensive nationwide sampling over the week of the 2016 census day, the project expects to estimate the per-capita human exposure to chemicals in the Australian population. Accurate and objective per-capita based consumption and release estimates for a wide range of chemicals is intended to provide a baseline against which to measure changes in our chemosphere.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alter ....Estimating use of tobacco and nicotine products through wastewater analysis. This project aims to equip the Australian public health and security sector with a tool to accurately measure tobacco consumption in the general population. Specific human biomarkers in urine will be identified using non-target approaches and their pharmacokinetics quantified. The new data will address critical gaps in our knowledge on the population-level excretion of biomarkers for the consumption of tobacco and alternative nicotine products. The outcomes of this project will provide reliable, cost-effective estimates of tobacco consumption for use with wastewater-based epidemiology assessments. This will enable changes in tobacco use to be accurately evaluated for the first time and improve the efficacy of tobacco control measures.Read moreRead less