Reducing the burden of infectious diseases using translational analytics
- Funded by National Health and Medical Research Council (NHMRC)
- Total publications:0 publications
Grant number: GA387357
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Key facts
Disease
COVID-19Start & end year
20252029Known Financial Commitments (USD)
$997,519.18Funder
National Health and Medical Research Council (NHMRC)Principal Investigator
N/A
Research Location
AustraliaLead Research Institution
University of New South WalesResearch Priority Alignment
N/A
Research Category
Epidemiological studies
Research Subcategory
Disease surveillance & mapping
Special Interest Tags
Data Management and Data Sharing
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
It is now possible to rapidly collect enormous amounts of data on infectious diseases, such as COVID-19. Thus, the challenge now is â€" “how do we sensibly integrate data across multiple studies to deliver evidence-based policy for managing infectious diseases?†This project aims to use mathematical and data analytics approaches, in close collaboration with local and international experimentalists and clinicians, to guide efforts to reduce the burden of infectious diseases globally.