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Dr Sebastian Funk

PhD

Associate Professor
and Wellcome Trust Senior Research Fellow

Room
Room 113

LSHTM
Keppel Street
London
WC1E 7HT
United Kingdom

Tel.
+44 (0)20 7927 2209

My work 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, as well as strategies for disease eradication.

Affiliations

Faculty of Epidemiology and Population Health
Department of Infectious Disease Epidemiology

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
Vaccine Centre

Research

My main current line of research is on real-time modelling and forecasting during outbreaks to aid decision making, funded by a Wellcome Trust Senior Research Fellowship.

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

Routine childhood immunisation during the COVID-19 pandemic in Africa: a benefit-risk analysis of health benefits versus excess risk of SARS-CoV-2 infection.
Abbas K; Procter SR; van Zandvoort K; Clark A; Funk S; Mengistu T; Hogan D; Dansereau E; Jit M; Flasche S
2020
The Lancet Global Health
Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China
Endo A; Abbott S; Kucharski AJ; Funk S
2020
Wellcome Open Research
Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China.
Endo A; Centre for the Mathematical Modelling of Infectious Diseases COVID-19 Working Group; Abbott S; Kucharski AJ; Funk S
2020
Wellcome open research
Practical considerations for measuring the effective reproductive number, Rt.
Gostic KM; McGough L; Baskerville E; Abbott S; Joshi K; Tedijanto C; Kahn R; Niehus R; Hay JA; De Salazar PM
2020
medRxiv
Effectiveness of isolation, testing, contact tracing, and physical distancing on reducing transmission of SARS-CoV-2 in different settings: a mathematical modelling study.
Kucharski AJ; Klepac P; Conlan AJK; Kissler SM; Tang ML; Fry H; Gog JR; Edmunds WJ; CMMID COVID-19 working group
2020
The Lancet. Infectious Diseases
Tailoring Immunization Programmes: using patient file data to explore vaccination uptake and associated factors.
Musa S; Bach Habersaat K; Jackson C; Kulo A; Primorac E; Smjecanin M; Funk S
2020
Human vaccines & immunotherapeutics
Probabilistic reconstruction of measles transmission clusters from routinely collected surveillance data.
Robert A; Kucharski AJ; GastaƱaduy PA; Paul P; Funk S
2020
Journal of the Royal Society, Interface
SOCRATES: an online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19.
Willem L; Van Hoang T; Funk S; Coletti P; Beutels P; Hens N
2020
BMC research notes
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