Y
Yang Liu
Researcher at University of London
Publications - 63
Citations - 10584
Yang Liu is an academic researcher from University of London. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 26, co-authored 58 publications receiving 7193 citations. Previous affiliations of Yang Liu include University of Minnesota.
Papers
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Journal ArticleDOI
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Age-dependent effects in the transmission and control of COVID-19 epidemics.
TL;DR: It is found that interventions aimed at children might have a relatively small impact on reducing SARS-CoV-2 transmission, particularly if the transmissibility of subclinical infections is low.
Journal ArticleDOI
Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.
Andrew Clark,Mark Jit,Charlotte Warren-Gash,Bruce Guthrie,Harry H.X. Wang,Stewart W Mercer,Colin Sanderson,Martin McKee,Christopher Troeger,Kanyin L Ong,Francesco Checchi,Pablo Perel,Sarah Joseph,Hamish Gibbs,Amitava Banerjee,Rosalind M Eggo,Emily Nightingale,Kathleen M. O’Reilly,Thibaut Jombart,W. John Edmunds,Alicia Rosello,Fiona Yueqian Sun,Katherine E. Atkins,Nikos I Bosse,Samuel Clifford,Timothy W Russell,Arminder K Deol,Yang Liu,Simon R Procter,Quentin J Leclerc,Graham F. Medley,Gwen Knight,James D Munday,Adam J. Kucharski,Carl A. B. Pearson,Petra Klepac,Kiesha Prem,Rein M G J Houben,Akira Endo,Stefan Flasche,Nicholas G Davies,Charlie Diamond,Kevin van Zandvoort,Sebastian Funk,Megan Auzenbergs,Eleanor M Rees,Damien C. Tully,Jon C Emery,Billy J Quilty,Sam Abbott,Ch. Julián Villabona-Arenas,Stéphane Hué,Joel Hellewell,Amy Gimma,Christopher I Jarvis +54 more
TL;DR: These estimates provide a starting point for considering the number of individuals that might need to be shielded or vaccinated as the global pandemic unfolds, and focus on underlying conditions rather than other risk factors such as ethnicity, socioeconomic deprivation, and obesity.
Journal ArticleDOI
Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.
Nicholas G Davies,Adam J. Kucharski,Rosalind M Eggo,Amy Gimma,W. John Edmunds,Thibaut Jombart,Kathleen M. O’Reilly,Akira Endo,Joel Hellewell,Emily Nightingale,Billy J Quilty,Christopher I Jarvis,Timothy W Russell,Petra Klepac,Nikos I Bosse,Sebastian Funk,Sam Abbott,Graham F. Medley,Hamish Gibbs,Carl A. B. Pearson,Stefan Flasche,Mark Jit,Samuel Clifford,Kiesha Prem,Charlie Diamond,Jon C Emery,Arminder K Deol,Simon R Procter,Kevin van Zandvoort,Yueqian Fiona Sun,James D Munday,Alicia Rosello,Megan Auzenbergs,Gwen Knight,Rein M G J Houben,Yang Liu +35 more
TL;DR: In this article, the authors used a stochastic age-structured transmission model to explore a range of intervention scenarios, tracking 66·4 million people aggregated to 186 county-level administrative units in England, Wales, Scotland, and Northern Ireland.