Sebastian Funk
University of London
227 Papers
609 Citations
Sebastian Funk is an academic researcher from University of London. The author has contributed to research in topics: Medicine & Population. The author has an hindex of 48, co-authored 187 publications. Previous affiliations of Sebastian Funk include Georgetown University & Zoological Society of London.
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Papers
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.
Adam J. Kucharski,Timothy W Russell,Charlie Diamond,Yang Liu,John Edmunds,Sebastian Funk,Rosalind M Eggo,Fiona Yueqian Sun,Mark Jit,James D Munday,Nicholas G Davies,Amy Gimma,Kevin van Zandvoort,Hamish Gibbs,Joel Hellewell,Christopher I Jarvis,Samuel Clifford,Billy J Quilty,Nikos I Bosse,Sam Abbott,Petra Klepac,Stefan Flasche +21 more
TL;DR: A stochastic transmission model is combined with data on cases of coronavirus disease 2019 (COVID-19) in Wuhan and international cases that originated inWuhan to estimate how transmission had varied over time during January, 2020, and February, 2020.
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Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Joel Hellewell,Sam Abbott,Amy Gimma,Nikos I Bosse,Christopher I Jarvis,Timothy W Russell,James D Munday,Adam J. Kucharski,W. John Edmunds,Fiona Yueqian Sun,Stefan Flasche,Billy J Quilty,Nicholas B. Davies,Yang Liu,Samuel Clifford,Petra Klepac,Mark Jit,Charlie Diamond,Hamish Gibbs,Kevin van Zandvoort,Sebastian Funk,Rosalind M Eggo +21 more
TL;DR: In this article, the authors used a stochastic transmission model to assess if isolation and contact tracing are able to control onwards transmission from imported cases of COVID-19, and they used the model to quantify the potential effectiveness of contact tracing and isolation of cases at controlling a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-like pathogen.
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Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England.
Nicholas G Davies,Sam Abbott,Rosanna C. Barnard,Christopher I Jarvis,Adam J. Kucharski,James D Munday,Carl A. B. Pearson,Timothy W Russell,Damien C. Tully,Alex D. Washburne,Tom Wenseleers,Amy Gimma,William Waites,Kerry L. M. Wong,Kevin van Zandvoort,Justin D. Silverman,Karla Diaz-Ordaz,Ruth H. Keogh,Rosalind M Eggo,Sebastian Funk,Mark Jit,Katherine E. Atkins,Katherine E. Atkins,W. John Edmunds +23 more
TL;DR: Using a variety of statistical and dynamic modeling approaches, the authors estimate that this variant has a 43 to 90% (range of 95% credible intervals, 38 to 130%) higher reproduction number than preexisting variants, and a fitted two-strain dynamic transmission model shows that VOC 202012/01 will lead to large resurgences of COVID-19 cases.
The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study.
Kiesha Prem,Yang Liu,Timothy W Russell,Adam J. Kucharski,Rosalind M Eggo,Nicholas G Davies,Stefan Flasche,Samuel Clifford,Carl A. B. Pearson,James D Munday,Sam Abbott,Hamish Gibbs,Alicia Rosello,Billy J Quilty,Thibaut Jombart,Fiona Yueqian Sun,Charlie Diamond,Amy Gimma,Kevin van Zandvoort,Sebastian Funk,Christopher I Jarvis,W. John Edmunds,Nikos I Bosse,Joel Hellewell,Mark Jit,Petra Klepac +25 more
TL;DR: In this paper, the effects of physical distancing measures on the progression of the COVID-19 epidemic in Wuhan, China were investigated using synthetic location-specific contact patterns.
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Modelling the influence of human behaviour on the spread of infectious diseases: a review
TL;DR: Recent efforts to incorporate human behaviour into disease models are reviewed, and it is proposed that such models can be broadly classified according to the type and source of information which individuals are assumed to base their behaviour on, andAccording to the assumed effects of such behaviour.
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