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Sebastian Funk

Professor
of Infectious Disease Dynamics and Wellcome Trust Senior Research Fellow

Room
Room 104A

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7927 2209

My research revolves around statistical methods, often using mathematical models of infectious disease dynamics, applied to questions around public health. I am interested in the emergence, evolution and spread of infectious diseases, with a particular interest in the dynamic interaction of diseases with behavioural, societal and environmental factors. Most of my current work is applied to real-time modelling and forecasting during outbreaks to aid decision making, funded by a Wellcome Trust Senior Research Fellowship and highlighted on the Epiforecasts group page.

Affiliations

Department of Infectious Disease Epidemiology
Faculty of Epidemiology and Population Health

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
Centre for Statistical Methodology
Vaccine Centre
Centre for Epidemic Preparedness and Response

Research

Research Area
Statistical methods
Modelling
Discipline
Epidemiology
Mathematics
Mathematical modelling
Disease and Health Conditions
Infectious disease
Measles
African trypanosomiasis
Dengue
Emerging Infectious Disease

Selected Publications

Transformation of forecasts for evaluating predictive performance in an epidemiological context
Bosse N; Abbott S; Cori A; van Leeuwen E; Bracher J; Funk S
2023
medRxiv
Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2.
Park SW; Sun K; Abbott S; Sender R; Bar-On YM; Weitz JS; Funk S; Grenfell BT; Backer JA; Wallinga J
2023
Proceedings of the National Academy of Sciences of the United States of America
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations.
Sherratt K; Gruson H; Grah R; Johnson H; Niehus R; Prasse B; Sandmann F; Deuschel J; Wolffram D; Abbott S
2023
eLife
epiforecasts/covid.german.forecasts
Bosse N; Abbott S; Funk S
2022
Weekly CoMix contact matrices for UKHSA COVID-19 dashboard and ONS COVID-19 infection survey age-groups
Munday JD; Jarvis CI; Gimma A; Wong KLM; Van Zandvoort K; Funk S; Edmunds WJ
2022
A Shiny App to predict subnational COVID-19 outbreak risk in EU countries
Robert A; Chapman L; Funk S; Kucharski A
2022
See more Publications