Dr Rosalind Eggo

Assistant 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. 

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 completed Module 1 of PGCILT in 2018, 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.

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

Association between living with children and outcomes from COVID-19: an OpenSAFELY cohort study of 12 million adults in England
Forbes H; Morton C; Bacon S; McDonald H; Minassian C; Brown J; Rentsch C; Mathur R; Schultze A; DeVito N
Short-term forecasts to inform the response to the Covid-19 epidemic in the UK
Funk S; Abbott S; Atkins BD; Baguelin M; Baillie JK; Birrell P; Blake J; Bosse NI; Burton J; Carruthers J
Human movement can inform the spatial scale of interventions against COVID-19 transmission
Gibbs H; Nightingale E; Liu Y; Cheshire J; Danon L; Smeeth L; Pearson CAB; Grundy C; Kucharski AJ; Eggo RM
Urgent actions and policies needed to address COVID-19 among UK ethnic minorities.
Mathur R; Bear L; Khunti K; Eggo RM
Lancet (London, England)
Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections.
Russell TW; Golding N; Hellewell J; Abbott S; Wright L; Pearson CAB; van Zandvoort K; Jarvis CI; Gibbs H; Liu Y
BMC medicine
Response strategies for COVID-19 epidemics in African settings: a mathematical modelling study.
van Zandvoort K; Jarvis CI; Pearson CAB; Davies NG; CMMID COVID-19 working group; Ratnayake R; Russell TW; Kucharski AJ; Jit M; Flasche S
BMC medicine
Study protocol: Comparison of different risk prediction modelling approaches for COVID-19 related death using the OpenSAFELY platform
Williamson EJ; Tazare J; Bhaskaran K; Walker AJ; McDonald HI; Tomlinson L; Bacon S; Bates C; Curtis HJ; Forbes H
Wellcome Open Research
See more Publications