Virtual seminar 'Mathematics, modelling, data and COVID-19'
04 December 2020, 1:00 pm–2:00 pm
Event Information
Open to
- All
Availability
- Yes
Organiser
-
Floriana Bortolotti
MediaCentral Widget Placeholderhttps://ucl.zoom.us/rec/play/pxcWKdoUnmXAjTmPNOPAuGGFOx74akxISRTj44jvVp9...
Speaker: Dr Jasmina Panovska-Griffiths
Title: 'Mathematics, modelling, data and COVID-19'
Link: https://bit.ly/2IO8WJa
Summary
Since the onset of the COVID-19 pandemic, mathematical modelling has been at the forefront of decision making around containment strategies. Dr Panovska-Griffiths has actively applied her modelling skills and expertise in adapting existing models and developing new ones with an overall aim to aid the policy decision around containment and suppression of the pandemic. She is actively advising scientific decision bodies in the UK and leads a multi-disciplinary, cross-institutional, cross-countries modelling group. This talk will highlight key outcomes from this work discussing the need, the importance and the challenges of infectious disease modelling and demonstrate these with examples from her ongoing work. Details of Dr Panovska-Griffiths' ongoing research can be found at https://jpg-lab.github.io.
About the speaker:
Dr Jasmina Panovska-Griffiths is a Senior Research Fellow and Lecturer in Mathematical modelling at University College London, and a Lecturer in Applied Mathematics at The Queen's College, Oxford University. She is senior mathematical modeller with a BA, MMath and DPhil in mathematical modelling from Oxford University. She has over eight years of experience in modelling infectious diseases. Dr Panovska-Griffiths regularly develops, parametrises, calibrates and uses models to answer different policy questions. She works closely with researchers at Public Health England and advises the UK Department of Health and Social Care, the World Bank, FIND and other policy decision makers working across different projects to provide timely and robust modelling advice.