Dr Rosanna Barnard

MMath PhD

Research Fellow
in Infectious Disease Modelling

Keppel Street
United Kingdom

I joined the London School of Hygiene 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. I work alongside Mark Jit and John Edmunds and number of collaborators within the Centre for the Mathematical Modelling of Infectious Diseases (CMMID), and as part of the CMMID nCov working group. I have recently joined the CMMID seminar organising team as junior organiser, alongside Julian Villabona-Arenas and Kiesha Prem.

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. For the last few years I have enjoyed teaching evening courses on web development for women as part of Code First: Girls, and in the summer of 2019 I was a speaker at Brighton's Soapbox Science event. I have also taught a number of more formal undergraduate and postgraduate teaching modules at the University of Sussex.


Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health


Centre for the Mathematical Modelling of Infectious Diseases (CMMID)


I am interested in using mathematical and statistical techniques to provide better understanding about the real world.

My current work involves using mathematical models in the context of the COVID-19 response. My funding comes from the EU Horizon 2020 EpiPose project. The aim of this project is to provide epidemic intelligence to minimise 2019-nCoV’s public health, economic and social impact in Europe. I am 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.

Research Area
Bayesian Analysis
Disease control
Spatial analysis
GIS/Spatial analysis
Mathematical modelling
Disease and Health Conditions
Infectious disease
Euro area
Sub-Saharan Africa (all income levels)

Selected Publications

Association of tiered restrictions and a second lockdown with COVID-19 deaths and hospital admissions in England: a modelling study.
Davies NG; Barnard RC; Jarvis CI; Russell TW; Semple MG; Jit M; Edmunds WJ; Centre for Mathematical Modelling of Infectious Diseases COVID-19 Working Group; ISARIC4C investigators
The Lancet. Infectious diseases
Epidemic threshold in pairwise models for clustered networks: closures
and fast correlations
Barnard RC; Berthouze L; Simon PL; Kiss IZ
See more Publications