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)Research Location
AustraliaLead Research Institution
University of New South WalesResearch Priority Alignment
N/A
Research Category
Epidemiological studiesResearch Subcategory
Disease surveillance & mappingSpecial Interest Tags
Data Management and Data SharingStudy Type
Non-ClinicalClinical Trial Details
N/ABroad Policy Alignment
PendingAge Group
Not ApplicableVulnerable Population
Not applicableOccupations 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.