C
Christophe Fraser
Researcher at University of Oxford
Publications - 294
Citations - 34754
Christophe Fraser is an academic researcher from University of Oxford. The author has contributed to research in topics: Population & Viral load. The author has an hindex of 76, co-authored 264 publications receiving 29250 citations. Previous affiliations of Christophe Fraser include National Institute for Health Research & Swansea University.
Papers
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Journal ArticleDOI
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.
Luca Ferretti,Chris Wymant,Michelle Kendall,Lele Zhao,Anel Nurtay,Lucie Abeler-Dörner,Michael Parker,David Bonsall,Christophe Fraser +8 more
TL;DR: A mathematical model for infectiousness was developed to estimate the basic reproductive number R0 and to quantify the contribution of different transmission routes and the requirements for successful contact tracing, and the combination of two key parameters needed to reduce R0 to less than 1 was determined.
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Strategies for mitigating an influenza pandemic
Neil M. Ferguson,Derek A. T. Cummings,Christophe Fraser,James Cajka,Philip C. Cooley,Donald S. Burke +5 more
TL;DR: It is found that border restrictions and/or internal travel restrictions are unlikely to delay spread by more than 2–3 weeks unless more than 99% effective, and vaccine stockpiled in advance of a pandemic could significantly reduce attack rates even if of low efficacy.
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Pandemic Potential of a Strain of Influenza A (H1N1) : Early Findings
Christophe Fraser,Christl A. Donnelly,Simon Cauchemez,William P. Hanage,Maria D. Van Kerkhove,T. Déirdre Hollingsworth,Jamie T. Griffin,Rebecca F. Baggaley,Helen E. Jenkins,Emily J. Lyons,Thibaut Jombart,Wes Hinsley,Nicholas C. Grassly,Francois Balloux,Azra C. Ghani,Neil M. Ferguson,Andrew Rambaut,Oliver G. Pybus,Hugo López-Gatell,Celia Alpuche-Aranda,Ietza Bojorquez Chapela,Ethel Palacios Zavala,Dulce Ma. Espejo Guevara,Francesco Checchi,Erika Garcia,Stéphane Hugonnet,Cathy Roth +26 more
TL;DR: Transmissibility is substantially higher than that of seasonal flu, and comparable with lower estimates of R0 obtained from previous influenza pandemics, by analyzing the outbreak in Mexico, early data on international spread, and viral genetic diversity, which makes an early assessment of transmissibility and severity.
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Strategies for containing an emerging influenza pandemic in Southeast Asia
Neil M. Ferguson,Derek A. T. Cummings,Simon Cauchemez,Christophe Fraser,Steven Riley,Aronrag Meeyai,Sopon Iamsirithaworn,Donald S. Burke +7 more
TL;DR: A simulation model of influenza transmission in Southeast Asia is used and it is shown that elimination of a nascent pandemic may be feasible using a combination of geographically targeted prophylaxis and social distancing measures, if the basic reproduction number of the new virus is below 1.8.
Journal ArticleDOI
A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics
TL;DR: This tool produces novel, statistically robust analytical estimates of R that incorporates uncertainty in the distribution of the serial interval and should help epidemiologists quantify temporal changes in the transmission intensity of future epidemics by using surveillance data.