Networks Analysis - Modelling Transmission Of Disease And Propagation Of Adverse Health Outcomes Through Interconnected Populations
Funder
National Health and Medical Research Council
Funding Amount
$120,253.00
Summary
Networks analysis is a powerful suite of statistical techniques that will be used to develop simulations of disease and poor health outcomes through an Australian injecting drug user network, a Laos/Vietnam based cohort of men who have sex with men (MSM) and the 2009 H1N1 influenza cohort. Development of robust predictive models of disease and health outcomes provides novel opportunities for identifying and developing finely targeted intervention and harm-minimisation strategies.
Discovery Early Career Researcher Award - Grant ID: DE180101520
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Diet, variance and individual variability in life-history. This project aims to provide biologists with novel statistical tools that will shift analytical paradigms. In many species, dietary restrictions increase average lifespan, and affect average rates of growth and reproduction, also known as ‘life history’. The use of recently developed tools has shown that individual variability in life history also appears to increase under dietary restrictions. This project will explore the effects of di ....Diet, variance and individual variability in life-history. This project aims to provide biologists with novel statistical tools that will shift analytical paradigms. In many species, dietary restrictions increase average lifespan, and affect average rates of growth and reproduction, also known as ‘life history’. The use of recently developed tools has shown that individual variability in life history also appears to increase under dietary restrictions. This project will explore the effects of diet composition on variability in life-history traits, and the factors driving this variation. This is expected to improve the prediction of the effects of changing nutritional environments.Read moreRead less
Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will im ....Mathematical and statistical methods for modelling invivo pathogen dynamics. This project aims to develop mathematical models and Bayesian statistical methods that better capture how natural defence responses and drugs help control infection. When viruses (e.g. influenza) or parasites (e.g. malaria) invade the human body, they begin to replicate. To date, only simple mathematical models have been developed to capture these processes, and these models are not well formulated. This project will improve biomathematics and biostatistical algorithms for pathogen dynamics and is ultimately expected to benefit public health and clinical research aimed at alleviating the effect of infectious diseases on human health.Read moreRead less
Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical a ....Mathematical models of diseases with complex transmission routes. This project aims to model diseases that spread via a mixture of routes including food, water, the environment, and direct spread between individuals. Key diseases include: avian influenza, which causes massive disruption to the poultry industry; gastroenteritis, which costs Australia $1,250 million each year; and leptospirosis, which causes one million severe illnesses each year globally. This project will develop mathematical and statistical tools to better estimate risk, analyse outbreak data, and provide guidance for disease control. This research will improve policy and enhance our ability to respond to disease outbreaks.Read moreRead less
Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable mode ....Statistical methods for quantifying variation in spatiotemporal areal data. This project aims to develop new statistical methods for extracting insights into spatial and temporal variation in areal data. These tools will extend the Australian Cancer Atlas which provides small area estimates for 20 cancers across Australia. The project is significant because it will allow government and other organisations to reap dividends from investment in collecting spatial information and it will enable modelled small-area estimates to be released without compromising confidentiality. The expected outcomes include new statistical knowledge and new insights into cancer. The results will benefit the many disciplines, managers and policy makers that make decisions based on geographic data mapped over space and time. Read moreRead less
System to synapse. Biological tissue is studied at the cellular and organ level with ever increasing clarity and sensitivity, but there are limitations in understanding how microscopic changes are manifested in the organ and vice versa. This project will develop new methods to bridge this gap and allow next generation correlative imaging.
Enhancing Aspects Of Time-to-event Analysis Methodology In Randomised Trials
Funder
National Health and Medical Research Council
Funding Amount
$548,446.00
Summary
Time-to-event analysis is a statistical method for examining the occurrence of disease-related events in individuals followed for varying periods of time. The method is widely used in health research. The technicalities of the methods are subtle and by paying careful attention to these this grant will provide extended methods, new software, and apply methods more effectively to gain new insights to disease progress, and to enhance the efficiency of health research.
Revealing How Interactions And Mutation Patterns Among Genes Change In Different Human Tissues By Bioinformatics Tools
Funder
National Health and Medical Research Council
Funding Amount
$334,884.00
Summary
Our understanding of common disease is hampered by the complexity of the human system. The DNA variations found in genome wide association studies of common disease are rarely in the gene coding region. I aim to develop statistical bioinformatic tools to find how the DNA variations affect human disease by taking gene expression as the quantitative phenotype. The results will explain the genetic risk of human common disease, so that better personalized prevention and therapy can be achieved.