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Dr Rosalind Eggo

Associate Professor

Room
107

LSHTM
Keppel Street
London
WC1E 7HT
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).

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Centres

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

Teaching

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: https://www.lshtm.ac.uk/study/courses/short-courses/modern-techniques-disease-modelling

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.

Research

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
Vaccines
Bayesian Analysis
Disease control
Equity
Global Health
Methodology
Outbreaks
Modelling
Discipline
Epidemiology
Mathematical modelling
Disease and Health Conditions
Infectious disease
Pandemic diseases
Asthma
Emerging Infectious Disease
Influenza
Respiratory disease
Zoonotic disease

Selected Publications

SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort.
Finch E; Lowe R; Fischinger S; de St Aubin M; Siddiqui SM; Dayal D; Loesche MA; Rhee J; Beger S; Hu Y
2022
PLoS biology
Changes in social contacts in England during the COVID-19 pandemic between March 2020 and March 2021 as measured by the CoMix survey: A repeated cross-sectional study.
Gimma A; Munday JD; Wong KLM; Coletti P; van Zandvoort K; Prem K; CMMID COVID-19 working group; Klepac P; Rubin GJ; Funk S
2022
PLoS medicine
Localising vaccination services: Qualitative insights on public health and minority group collaborations to co-deliver coronavirus vaccines.
Kasstan B; Mounier-Jack S; Letley L; Gaskell KM; Roberts CH; Stone NRH; Lal S; Eggo RM; Marks M; Chantler T
2022
Vaccine
Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform.
OpenSAFELY Collaborative; Williamson EJ; Tazare J; Bhaskaran K; McDonald HI; Walker AJ; Tomlinson L; Wing K; Bacon S; Bates C
2022
Diagnostic and prognostic research
Reproducible disease phenotyping at scale: Example of coronary artery disease in UK Biobank.
Patel RS; Denaxas S; Howe LJ; Eggo RM; Shah AD; Allen NE; Danesh J; Hingorani A; Sudlow C; Hemingway H
2022
PloS one
Long-term health-related quality of life in non-hospitalised COVID-19 cases with confirmed SARS-CoV-2 infection in England: Longitudinal analysis and cross-sectional comparison with controls.
Sandmann FG; Tessier E; Lacy J; Kall M; Van Leeuwen E; Charlett A; Eggo RM; Dabrera G; Edmunds WJ; Ramsay M
2022
Clinical infectious diseases
Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform
Wing K; Grint D; Mathur R; Gibbs H; Hickman G; Nightingale E; Schultze A; Forbes H; Nafilyan V; Bhaskaran K
2022
medRxiv
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