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).


Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health


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

Seasonal influenza vaccination in Kenya: an economic evaluation using dynamic transmission modelling.
Dawa J; Emukule GO; Barasa E; Widdowson MA; Anzala O; van Leeuwen E; Baguelin M; Chaves SS; Eggo RM
BMC medicine
The contribution of asymptomatic SARS-CoV-2 infections to transmission on the Diamond Princess cruise ship.
Emery JC; Russell TW; Liu Y; Hellewell J; Pearson CA; CMMID COVID-19 Working Group; Knight GM; Eggo RM; Kucharski AJ; Funk S
Using a real-world network to model localized COVID-19 control strategies.
Firth JA; Hellewell J; Klepac P; Kissler S; CMMID COVID-19 Working Group; Kucharski AJ; Spurgin LG
Nature medicine
The effect of travel restrictions on the geographical spread of COVID-19 between large cities in China: a modelling study.
Quilty BJ; Diamond C; Liu Y; Gibbs H; Russell TW; Jarvis CI; Prem K; Pearson CAB; Clifford S; Flasche S
BMC medicine
Optimising social mixing strategies to mitigate the impact of COVID-19 in six European countries: a mathematical modelling study
Ragonnet R; Briffoteaux G; Williams B; Savulescu J; Segal M; Abayawardana M; Eggo R; Tuyttens D; Melab N; Marais B
Key questions for modelling COVID-19 exit strategies.
Thompson RN; Hollingsworth TD; Isham V; Arribas-Bel D; Ashby B; Britton T; Challenor P; Chappell LHK; Clapham H; Cunniffe NJ
Proceedings. Biological sciences
UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records
Walker JL; Grint DJ; Strongman H; Eggo RM; Peppa M; Minassian C; Mansfield KE; Rentsch CT; Douglas IJ; Mathur R
See more Publications