Epidemiology and outbreak prediction of yellow fever virus
- Funded by Wellcome Trust
- Total publications:37 publications
Grant number: 220414/Z/20/Z
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Key facts
Disease
N/A
Start & end year
20202025Known Financial Commitments (USD)
$395,709.6Funder
Wellcome TrustPrincipal Investigator
Dr. Sarah Catherine HillResearch Location
United KingdomLead Research Institution
Royal Veterinary CollegeResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Pathogen genomics, mutations and adaptations
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
Yellow fever virus (YFV) outbreaks are escalating worldwide despite the existence of a vaccine. Global travel raises the chance that YFV will become established in Asia, where populations are not vaccinated and an outbreak would be catastrophic. Our ability to predict and control YFV outbreaks is reduced by our lack of knowledge about (i) transmission of YFV in its sylvatic reservoir (non-human primates) and (ii) how YFV escapes from this reservoir to spread amongst people in urban areas. Severe under-reporting in both humans and non-human primates hampers our ability to directly study YFV transmission behaviour. Recent advances in portable genome sequencing and virus genomic epidemiology (including phylodynamics) offer new opportunities to use virus genomic data to reconstruct unobserved outbreak dynamics, even when sampling is sparse. I will combine these techniques to improve our understanding of YFV epidemiology, by: (i) integrating viral genomic data into newly-refined YFV mathematical models for improved outbreak prediction; (ii) implementing phylodynamic approaches to identify drivers of sylvatic transmission, and; (iii) exploiting new strategies to generate virus sequences from traditionally neglected times and locations. My Fellowship research findings will improve YFV outbreak prediction and contribute to the development of refined vaccination strategies.
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