Discovery Early Career Researcher Award - Grant ID: DE230100730
Funder
Australian Research Council
Funding Amount
$448,000.00
Summary
Strategies to minimise the societal impacts of zoonotic pandemics. The continuing pandemic has had unprecedented effects across society. Population mobility restrictions have been effective in slowing transmission, but are only effective while in place and have dramatic adverse effects. Despite Australia’s relative success, we have lacked a clear national strategy to guide the optimal deployment of such restrictions. During this fellowship, I will use robust software development practices to dev ....Strategies to minimise the societal impacts of zoonotic pandemics. The continuing pandemic has had unprecedented effects across society. Population mobility restrictions have been effective in slowing transmission, but are only effective while in place and have dramatic adverse effects. Despite Australia’s relative success, we have lacked a clear national strategy to guide the optimal deployment of such restrictions. During this fellowship, I will use robust software development practices to develop a unified software platform that integrates semi-mechanistic, particle filter and agent-based methodologies. I will then use this platform to quantify the effects of mobility restrictions and define the optimal strategic response that should be selected based on the characteristics of a newly emerged pathogen.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE180100635
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Demographic distribution models for ecology, conservation & public health. This project aims to advance distribution modelling by developing a new demographic species distribution modelling (DSDM) framework that unites correlative and process-based approaches. This project will develop ecologically realistic models of the distributions of species and diseases, leading to better decision-making in conservation and public health. This will provide significant benefits, such as a better understandi ....Demographic distribution models for ecology, conservation & public health. This project aims to advance distribution modelling by developing a new demographic species distribution modelling (DSDM) framework that unites correlative and process-based approaches. This project will develop ecologically realistic models of the distributions of species and diseases, leading to better decision-making in conservation and public health. This will provide significant benefits, such as a better understanding of where and how to control mosquitoes to reduce malaria transmission in Africa, how best to conserve the vulnerable greater glider in Eastern Australia, and to forecast where and when outbreaks of Ross River virus are likely occur in Victoria.Read moreRead less
Networks, neighbourhoods and newborns: defining household and local area influences on social connectedness, to understand pathways to health. Being socially connected is good for your health, but why? This project will compare social connections in Boroondara and Hume, to explore the influence of neighbourhoods on networks. With this information the project will consider potential pathways to better health outcomes, needed by agencies working to promote neighbourhood connectedness and health.
Developing mathematical models of infection and transmission to link biology, epidemiology and public health policy. Infectious diseases constitute a significant burden on the health of the population. Understanding how best to control them requires a multi-faceted approach, combining data from biology, medicine and population health with mathematical and computational models of disease transmission. This project will investigate the "flu" and other diseases.
Discovery Early Career Researcher Award - Grant ID: DE130100660
Funder
Australian Research Council
Funding Amount
$358,731.00
Summary
Simulating social networks to understand how neighbourhood factors influence health. Where you live and who you know has implications for your health. This study will use social network models to understand how social characteristics of neighbourhoods influence health. The new insights gained will help policy makers to develop better strategies for reducing health inequalities and improving health outcomes.
Development of an 'ageing household' model for assessing medium to long-term vaccine impact in populations. As birth rates in developed and newly industrialising countries fall, so too do the number of households containing children, with implications for the spread of infections in families. We aim to study the influence of this phenomenon on the risk of common childhood infections, and the length of time that vaccines given in infancy will protect.