The RSS Official Statistics Section, in collaboration with the Health Statistics User Group (HSUG), has been running a series of webinars on statistical methods for COVID-19, aimed at sharing experiences and approaches across the UK. This series of webinars focuses on statistical methods in relation to COVID 19 statistics. At each webinar we aim to share experiences across the 4 Nations.
The sixth in this series of webinars will focus on long COVID.
A recording of the webinar will be available after the event on www.statsusernet.org.uk
Speakers include:
Daniel Ayoubkhani - Head of Health Modelling Hub at ONS - Prevalence of self-reported long COVID using the UK COVID-19 Infection Survey
Matt Mayhew - Senior Statistical Officer / Policy Evidence and Analysis Team at ONS - The social impacts of 'long COVID' on people's lives in Great Britain using the Opinions and Lifestyle Survey
David Lowe and Claire Hastie (University of Glasgow). They will present the approach being used in their studies of long COVID, and some early descriptive results.
Public Health Scotland (speaker to be confirmed)
Organising group: RSS Official Statistics Section in collaboration with the Health Statistics User Group
Event organiser:
Deana Leadbeter