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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

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.
Davies NG; Abbott S; Barnard RC; Jarvis CI; Kucharski AJ; Munday JD; Pearson CAB; Russell TW; Tully DC; Washburne AD
2021
Science (New York, N.Y.)
Association between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England.
Forbes H; Morton CE; Bacon S; McDonald HI; Minassian C; Brown JP; Rentsch CT; Mathur R; Schultze A; DeVito NJ
2021
BMJ: British Medical Journal
Case fatality risk of the SARS-CoV-2 variant of concern B.1.1.7 in England, 16 November to 5 February.
Grint DJ; Wing K; Williamson E; McDonald HI; Bhaskaran K; Evans D; Evans SJ; Walker AJ; Hickman G; Nightingale E
2021
Eurosurveillance
OpenSAFELY: Risks of COVID-19 hospital admission and death for people with learning disabilities - a cohort study
OpenSAFELY Collaborative; Williamson EJ; McDonald HI; Bhaskaran K; Walker AJ; Bacon S; Davy S; Schultze A; Tomlinson L; Bates C
2021
medRxiv preprint
Clinical coding of long COVID in English primary care: a federated analysis of 58 million patient records in situ using OpenSAFELY
Walker AJ; MacKenna B; Inglesby P; Rentsch CT; Curtis HJ; Morton CE; Morley J; Mehrkar A; Bacon SCJ; Hickman G
2021
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
2021
BMC public health
Predicting COVID-19 related death using the OpenSAFELY platform
Williamson EJ; Tazare J; Bhaskaran K; McDonald HI; Walker AJ; Tomlinson L; Wing K; Bacon S; Bates C; Curtis HJ
2021
medRxiv preprint
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