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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 research interests are in the role of population heterogeneity in epidemics in acquisition of infection and in the likelihood of severe outcomes. I study epidemic mitigation strategies, especially via vaccination planning and evaluation. I have a keen interest in the use of electronic health records, and am an active member of the OpenSAFELY research consortium.

I mostly focus on respiratory virues including Covid-19, influenza and others, but also work on outbreak-prone infections such as Ebola virus disease, as well as theoretical aspects of disease transmission and control. 

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 a co-lead of the Epiverse-TRACE software initiative to build tools for better epidemic and outbreak response.

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 the short-course organisers of a 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 currently supervise 3 excellent PhD students. I am happy to hear from interested students looking to do a PhD in modelling.

Research

I run a study on Long Covid called OpenPROMPT with Emily Herrett to understand the impact of Long Covid on individuals and the health system.

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

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

Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
Bolt H; Suffel A; Matthewman J; Sandmann F; Tomlinson L; Eggo R
2023
Cold Spring Harbor Laboratory
Assessing the impacts of COVID-19 vaccination programme's timing and speed on health benefits, cost-effectiveness, and relative affordability in 27 African countries.
Liu Y; Procter SR; Pearson CAB; Montero AM; Torres-Rueda S; Asfaw E; Uzochukwu B; Drake T; Bergren E; Eggo RM
2023
BMC medicine
Changes in COVID-19-related mortality across key demographic and clinical subgroups in England from 2020 to 2022: a retrospective cohort study using the OpenSAFELY platform.
Nab L; Parker EPK; Andrews CD; Hulme WJ; Fisher L; Morley J; Mehrkar A; MacKenna B; Inglesby P; Morton CE
2023
The Lancet Public health
Quantifying the value of viral genomics when inferring who infected whom in the 2014-16 Ebola virus outbreak in Guinea.
Robert A; Tsui Lok Hei J; Watson CH; Gsell P-S; Hall Y; Rambaut A; Longini IM; Sakoba K; Kucharski AJ; Touré A
2023
Virus evolution
Patient and public involvement within epidemiological studies of long COVID in the UK.
Routen A; O'Mahoney L; Aiyegbusi OL; Alder Y; Banerjee A; Buckland L; Brightling C; Calvert M; Camaradou J; Chaturvedi N
2023
Nature medicine
Effectiveness of Sotrovimab and Molnupiravir in community settings in England across the Omicron BA.1 and BA.2 sublineages: emulated target trials using the OpenSAFELY platform
Tazare J; Nab L; Zheng B; Hulme WJ; Green ACA; Curtis HJ; Mahalingasivam V; Higgins R; Schultze A; Bhaskaran K
2023
Cold Spring Harbor Laboratory
Potential health and economic impact of paediatric vaccination using next-generation influenza vaccines in Kenya: a modelling study
Waterlow NR; Radhakrishnan S; Dawa J; van Leeuwen E; Procter SR; Lambach P; Bresee J; Mazur M; Eggo RM; Jit M
2023
BMC medicine
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