"How to predict the next pandemic pathogen"
Status: This talk is in preparation - details may change
This talk is for PSI staff and students. Members of the University who are not at the PSI are welcome to join, but please contact us beforehand to let us know (events.psi@ndm.ox.ac.uk).
Zoonotic viruses are a key driver of pandemics, and understanding their dynamics is crucial for global health preparedness. Dr. Dalan Bailey will present his research on predicting the next pandemic pathogen, focusing on how emerging enveloped RNA viruses can adapt to new hosts.
Dr. Bailey will discuss the factors influencing zoonotic spillover, from macro-scale trends like human population growth and land use changes to molecular mechanisms involved in viral entry and immune evasion. He will emphasize the importance of a family-based approach in assessing pandemic risk and the need for broader research on RNA virus families.
As part of his work, Dr. Bailey’s group is investigating the conservation of receptor usage across viral families and how phylogenetic distance and receptor affinity may correlate with host range. By establishing connections between viral genotypes and host-range phenotypes, their aim is to enhance pandemic prediction models, equipping the global community with the tools to anticipate and respond to future outbreaks effectively.
The seminar will take place from 12:00 to 13:00 in the BDI building, seminar rooms, followed by lunch and networking from 13:00 to 14:00.
Date:
19 November 2024, 12:00 (Tuesday, 6th week, Michaelmas 2024)
Venue:
Big Data Institute, Old Road Campus OX3 7LF
Venue Details:
Seminar Rooms 0&1, Big Data Institute, Old Road Campus OX3 7LF
Speaker:
Dr Dalan Bailey (Pirbright Institute)
Organisers:
James Hay (Wellcome Trust Early Career Fellow),
Ksenia Ananyeva (University of Oxford)
Organiser contact email address:
events.psi@ndm.ox.ac.uk
Part of:
Pandemic Sciences Institute seminar series
Booking required?:
Required
Booking url:
https://forms.office.com/Pages/ResponsePage.aspx?id=G96VzPWXk0-0uv5ouFLPkfqJsIz1OHtImXkbS9R4tRRUQlhENFBHVThOU01GTktHMU8zMk1FREZIRy4u
Cost:
Free
Audience:
Members of the University only
Editor:
Ksenia Ananyeva
