Dr Rosanna Barnard
MMath PhD FHEA
in Vaccine Economics
I joined the London School of Hygiene & Tropical Medicine in July 2020 as a Research Fellow in Infectious Disease Modelling. I am based within the Department of Infectious Disease Epidemiology, which is part of the Faculty of Epidemiology and Population Health.
Since 2020 I have been working alongside Mark Jit and John Edmunds and a number of collaborators within the Centre for the Mathematical Modelling of Infectious Diseases (CMMID), mostly focussed on the UK's response to COVID-19. In December 2022 I took up a position as a Research Fellow in Vaccine Economics, working with Mark Jit on a project assessing the wider economic impacts of Salmonella vaccines.
I am also a member of the Centre for Epidemic Preparedness and Response (CEPR), the Global Health Economics Centre (GHECO), and the Vaccine Centre (VaC).
Before joining LSHTM I was based at the University of Sussex, where I am now a Research Associate. As well as doing research, I am passionate about research communication, teaching and widening participation in science more generally.
I am interested in using mathematical and statistical techniques to provide better understanding about the real world.
My current work involves assessing the wider economic impacts of Salmonella vaccines, working with Professor Mark Jit and collaborators at the International Vaccine Institute (IVI) in South Korea, the World Health Organization, and Shift Health in Canada.
My previous Research Fellow role focussed on using mathematical models in the context of the COVID-19 response. My funding for this came from the EU Horizon 2020 EpiPose project. The aim of this project was to provide epidemic intelligence to minimise 2019-nCoV’s public health, economic and social impact in Europe. I was involved in a number of projects utilising SARS-CoV-2 transmission models to understand the key drivers of disease spread as well as provide useful projections to help guide policy responses.
Previously I have enjoyed working on theoretical network-based models in the fields of neuroscience and epidemiology. I am fascinated by the universal nature of networks and the complex nature of the network structures we all engage in throughout our lives. More recently, I have been involved in more applied, data-driven modelling to inform real-world insights.
I am happy to discuss new ideas and projects, so please contact me via email if you would like to set up a virtual coffee or propose a collaboration.