Dr Rosalind Eggo
- Rosalind Eggo's Contacts
- Keppel Street
- WC1E 7HT
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.
I teach on distance learning courses in mathematical modelling, and supervise MSc Epidemiology students.
My work involves studying how infectious diseases spread between individuals, and especially how the characteristics of social networks introduce heterogeneity into disease transmission.
Much of my current work focusses on transmission of Ebola virus disease, especially examining the recent outbreak in West Africa. 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. I am part of the EBOVAC consortium for Ebola vaccine trials.
My general research interests are in community structure and its effect on disease spread, and the role of population heterogeneity in epidemics. As well as Ebola, I work on influenza and other respiratory viruses.
- Bayesian Analysis
- Clinical trials
- Disease control
- Global Health
- Infectious disease policy
- Public health
- Mathematical modelling
Disease and Health Conditions
- Emerging Infectious Disease
- Infectious disease
- Pandemic diseases
- Respiratory disease
- Zoonotic disease
Effectiveness of Ring Vaccination as Control Strategy for Ebola Virus Disease
Kucharski, A.J.; Eggo, R.M.; Watson, C.H.; Camacho, A.; Funk, S.; Edmunds, W.J.
Emerging Infectious Diseases, 2016; 22(1):105-108
Respiratory virus transmission dynamics determine timing of asthma exacerbation peaks: Evidence from a population-level model.
Eggo, R.M.; Scott, J.G.; Galvani, A.P.; Meyers, L.A.;
Proc Natl Acad Sci U S A, 2016; 113(8):2194-9
Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network.
Hoen, A.G. ; Hladish, T.J. ; Eggo, R.M. ; Lenczner, M. ; Brownstein, J.S. ; Meyers, L.A. ;
J Med Internet Res, 2015; 17(7):e169
Estimating the probability of demonstrating vaccine efficacy in the declining Ebola epidemic: a Bayesian modelling approach.
Camacho, A. ; Eggo, R.M. ; Funk, S. ; Watson, C.H. ; Kucharski, A.J. ; Edmunds, W.J. ;
BMJ Open, 2015; 5(12):e009346
Duration of Ebola virus RNA persistence in semen of survivors: population-level estimates and projections.
Eggo, R.M. ; Watson, C.H. ; Camacho, A. ; Kucharski, A.J. ; Funk, S. ; Edmunds, W.J. ;
Euro Surveill, 2015; 20(48)
Spatial dynamics of the 1918 influenza pandemic in England, Wales and the United States.
Eggo, R.M. ; Cauchemez, S. ; Ferguson, N.M. ;
J R Soc Interface, 2011; 8(55):233-43
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