Dr Rosalind Eggo

Associate Professor


Keppel Street
United Kingdom

I work as an infectious disease modeller in public health epidemiology. I received my PhD in infectious disease modelling from Imperial College London, and worked at The University of Texas at Austin, before joining the School in May 2015.

My general research interests are in the role of population heterogeneity in epidemics, and vaccination planning and evaluation. I work on influenza, respiratory viruses, Ebola virus disease, zika, and theoretical aspects of disease transmission and control. 

Since the start of the COVID-19 pandemic, I have worked extensively on interventions and response for epidemics in the UK and internationally.

As well as research, I enjoy communicating science to people, and have participated in many outreach activities, such as contributing to the Royal Institution Christmas Lectures in 2019, doing a talk at TEDxThessaloniki in 2018 (video here), and other sorts of activities (Let's play video, RI Apocalypse event, Web App for modelling).


Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology


Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
Vaccine Centre


I've completed LSHTM teaching qualificaitions and  am an Associate Fellow of the HEA. At LSHTM, I teach on modelling short courses, face-to-face modules, and on distance learning courses in mathematical modelling.

I am one of three short-course organisers of a new 3-day short course in modelling in R:

I supervise MSc student summer projects in modelling, usually from MSc Epidemiology, but also CID, and Med Stats.

I also supervise 3 excellent PhD students. Please contact me if you are looking to do a PhD in modelling.


My work involves studying how infectious diseases spread between individuals, and how to design efficient vaccination strategies to mitigate outbreaks and epidemics.

In 2018 I received an HDR UK Innovation Fellowship, to study the dynamics of respiratory viruses and the impact on those with chronic lung diseases like asthma and COPD.

Since the start of the COVID-19 pandemic, I have worked extensively on understanding transmission dynamics, and in the design of interventions and responses for epidemics in the UK and internationally.

I am part of the OpenSAFELY consortium to harness NHS data for COVID-19 response in the UK.

I also study the transmission of Ebola virus disease, especially examining recent outbreaks such as in West Africa and DRC. I develop models that can help determine optimal vaccination deployment schemes in the event of a new EVD outbreak, as well as methods for assessing new vaccines during outbreaks. 

Research Area
Clinical trials
Health care policy
Infectious disease policy
Public health
Bayesian Analysis
Disease control
Global Health
Mathematical modelling
Disease and Health Conditions
Infectious disease
Pandemic diseases
Emerging Infectious Disease
Respiratory disease
Zoonotic disease

Selected Publications

Recording of 'COVID-19 vaccine declined' among vaccination priority groups: a cohort study on 57.9 million NHS patients' primary care records in situ using OpenSAFELY
Curtis HJ; Inglesby P; MacKenna B; Croker R; Hulme W; Rentsch CT; Bhaskaran K; Walker AJ; Morton CE; Evans D
Localising Vaccination Services: Qualitative Insights on an Orthodox Jewish Collaboration with Public health during the UK coronavirus Vaccine Programme
Kasstan B; Mounier-Jack S; Letley L; Gaskell KM; Roberts CH; Stone N; Lal S; Eggo RM; Marks M; Chantler T
Risk of severe COVID-19 outcomes associated with immune-mediated inflammatory diseases and immune modifying therapies: a nationwide cohort study in the OpenSAFELY platform
MacKenna B; Kennedy NA; Mehkar A; Rowan A; Galloway J; Mansfield KE; Bechman K; Matthewman J; Yates M; Brown J
Projecting contact matrices in 177 geographical regions: An update and comparison with empirical data for the COVID-19 era.
Prem K; Zandvoort KV; Klepac P; Eggo RM; Davies NG; Centre for the Mathematical Modelling of Infectious Diseases COV; Cook AR; Jit M
PLoS computational biology
Potentially inappropriate prescribing of DOACs to people with mechanical heart valves: a federated analysis of 57.9 million patients' primary care records in situ using OpenSAFELY
The OpenSAFELY Collaborative; Fisher L; Speed V; Curtis H; Rentsch C; Wong AYS; Schultze A; Massey J; Inglesby P; Morton C
Social contacts and other risk factors for respiratory infections among internally displaced people in Somaliland
van Zandvoort K; Bobe MO; Hassan AI; Abdi MI; Ahmed MS; Warsame MY; Wais MA; Diggle E; Satzke C; Mulholland K
See more Publications