John Edmunds OBE
- John Edmunds's Contacts
- Room 106
- Keppel Street
- WC1E 7HT
- T: +44 (0)20 7927 2390
My interests are in designing effective and cost-effective control programmes against infectious diseases. This entails a mixture of mathematical models, statistical and economic analysis, and sociological studies (trying to understand how we mix, so that we can model the spread of diseases better). The emphasis is placed on the application of these methods to real-world problems to enable decision-makers to optimise the design of public-health control programmes. I have published over 200 peer-reviewed articles in this field (confusingly my initials are WJ Edmunds!) and I have acted as an advisor on national and international committees on many occasions on topics ranging from HPV vaccination to pandemic influenza.
Before joining the School I was the Head of the Modelling and Economics Unit at the HPA (now called Public Health England), and I still work with colleagues in PHE very closesly on issues related to the UK vaccination programme and influenza.
I teach on modelling the transmission dynamics and control of infectious diseases, including on the LSHTM Infectious Disease Modelling summer short course and MSc Module with Emilia Vynnycky and Richard White.
My main research interests involve the development and application of mathematical models to help address public health decisions. Examples include the real-time analysis and modelling of the ebola crisis in West Africa; the 2009 swine flu pandemic; analysis of HPV vaccination policy in the UK; and modelling the impact of chlamydia screening.
I am particularly interested in helping to develop better mathematical models of the spread of close-contact infections (like measles, influenza, and pneumococcal disease) through the collection and analysis of data on human contact patterns.
During the 2009 flu pandemic I set up an internet-based influenza monitoring system. This allowed us to track the evolution of the epidemic, and showed how individuals' behaviours altered over time. The system has been extended and again proved useful for monitoring the spread of seasonal flu. For further details see the flusurvey site.
- Bayesian Analysis
- Decision analysis
- Economic evaluation
- Infectious disease policy
Disease and Health Conditions
- African trypanosomiasis
- Diarrhoeal diseases
- Emerging Infectious Disease
- Hospital acquired infection
- Human papillomavirus (HPV)
- Infectious disease
- Pandemic diseases
- Sexually transmitted disease
- Sexually transmitted infection
- East Asia & Pacific (all income levels)
- European Union
- Sub-Saharan Africa (all income levels)
- Bayesian And Bootstrap Methods
- Chlamydia Trachomatis
- Clostridium Difficile
- Conjugate Vaccines
- Cost Effectiveness Analysis
- HPV Testing
- Hepatitis B
- Hepatitis C
- Human Papillomavirus
- Infectious Diseases
- Model Calibration
- Modelling And Mapping Disease Distribution
- Nosocomial infections
- Pandemic Influenza
- Pneumonia In Infant Children
- Southeast Asia
- Statistical modelling
- cost effectiveness
Evaluation of the Benefits and Risks of Introducing Ebola Community Care Centers, Sierra Leone
Kucharski, A.J.; Camacho, A.; Checchi, F.; Waldman, R.; Grais, R.F.; Cabrol, J.-C.; Briand, S.; Baguelin, M.; Flasche, S.; Funk, S.; Edmunds, W.J.
Emerging Infectious Diseases, 2015; 21(3):393-399
Modeling infectious disease dynamics in the complex landscape of global health.
Heesterbeek, H. ; Anderson, R.M. ; Andreasen, V. ; Bansal, S. ; De Angelis, D. ; Dye, C. ; Eames, K.T. ; Edmunds, W.J. ; Frost, S.D. ; Funk, S. ; Hollingsworth, T.D. ; House, T. ; Isham, V. ; Klepac, P. ; Lessler, J. ; Lloyd-Smith, J.O. ; Metcalf, C.J. ; Mollison, D. ; Pellis, L. ; Pulliam, J.R. ; Roberts, M.G. ; Viboud, C. ; Isaac Newton Institute IDD Collaboration, . ;
Science, 2015; 347(6227):aaa4339
Characterizing the Transmission Potential of Zoonotic Infections from Minor Outbreaks.
Kucharski, A.J. ; Edmunds, W.J. ;
PLoS Comput Biol, 2015; 11(4):e1004154
Efficacy and effectiveness of an rVSV-vectored vaccine expressing Ebola surface glycoprotein: interim results from the Guinea ring vaccination cluster-randomised trial.
Henao-Restrepo, A.M.; Longini, I.M.; Egger, M.; Dean, N.E.; Edmunds, W.J.; Camacho, A.; Carroll, M.W.; Doumbia, M.; Draguez, B.; Duraffour, S.; Enwere, G.; Grais, R.; Gunther, S.; Hossmann, S.; Kondé, M.K.; Kone, S.; Kuisma, E.; Levine, M.M.; Mandal, S.; Norheim, G.; Riveros, X.; Soumah, A.; Trelle, S.; Vicari, A.S.; Watson, C.H.; Kéïta, S.; Kieny, M.P.; Røttingen, J.A.;
Lancet, 2015; 386(9996):857-66
The Impact of Illness on Social Networks: Implications for Transmission and Control of Influenza.
Van Kerckhove, K.; Hens, N.; Edmunds, W.J.; Eames, K.T.;
Am J Epidemiol, 2013; 178(11):1655-62
Assessing Optimal Target Populations for Influenza Vaccination Programmes: An Evidence Synthesis and Modelling Study.
Baguelin, M. ; Flasche, S. ; Camacho, A. ; Demiris, N. ; Miller, E. ; Edmunds, W.J. ;
PLoS Med, 2013; 10(10):e1001527
Social contacts and mixing patterns relevant to the spread of infectious diseases
Mossong, J.; Hens, N.; Jit, M.; Beutels, P.; Auranen, K.; Mikolajczyk, R.; Massari, M.; Salmaso, S.; Tomba, G.S.; Wallinga, J.; Heijne, J.; Sadkowska-Todys, M.; Rosinska, M.; Edmunds, W.J.
PLoS Med, 2008; 5(3):e74
Impact of model, methodological, and parameter uncertainty in the economic analysis of vaccination programs
Brisson, M.; Edmunds, W.J.
Medical Decision Making, 2006; 26(5):434-46
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