Using Linked Population-based Health-related Datasets To Optimise Cancer Care And Reduce Survival Disparities.
Funder
National Health and Medical Research Council
Funding Amount
$850,941.00
Summary
In partnership with the Victorian Department of Health and Human Services, we will use detailed health data from various sources to assess how care is provided to people with cancer and determine why some have better survival than others. The findings will be used to change government policy and clinical practice in order to improve cancer outcomes for those who fair worse. We will establish a data bank to enable this information to be used to improve services into the future.
Patterns Of Care And Quality Of Life In Patients With Pancreatic Cancer.
Funder
National Health and Medical Research Council
Funding Amount
$680,010.00
Summary
Available evidence suggests that care of patients with pancreatic cancer is variable and dependent on a variety of factors such as geographic location, socioeconomic status and hospital volume. Variability in care may influence survival and quality of life of patients. We propose to conduct a comprehensive study of the management of patients with pancreatic cancer in NSW and, in a substudy in QLD, to determine how variation in management affects patient quality of life.
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.Read moreRead less
Ending The Global Tuberculosis Epidemic: The Role Of Patient Costs
Funder
National Health and Medical Research Council
Funding Amount
$408,768.00
Summary
TB is an important public health problem worldwide. Rates of TB are declining but not fast enough to reach targets set by the World Health Organization to end the disease by 2035. One reason why TB remains an issue is the cost of health care for patients. My research will look at the costs of TB care for patients in Papua New Guinea and will compare costs between countries. I will look at policies to protect the sick and will conduct research to determine what works best in decreasing costs.
Defining Optimal Strategies For Sustained Control Of Infectious Diseases
Funder
National Health and Medical Research Council
Funding Amount
$763,845.00
Summary
My work helps us understand how infections spread between people, to work out the most effective use of vaccines and other protective measures. This fellowship will support research into the ways large family size, poor health care access, social connections and the environment increase infection risk in settings of poverty. We will find better ways to prevent infectious diseases in the populations worst affected, including Indigenous Australians and people living in low-income countries.
Using Big Data To Reduce Inappropriate Medication Use
Funder
National Health and Medical Research Council
Funding Amount
$318,768.00
Summary
Potentially inappropriate medication use both increases patient harm and wastes considerable health resources. However methods for measuring patterns of use are not well developed nor utilised in policy. This research will measure the scope, variation and burden of potentially inappropriate medication use in Australia. My unique combination of biostatistical, data and policy expertise will enable this research to create new actionable tools for evaluating the Australian healthcare system.