M
Maylis Layan
Researcher at Pasteur Institute
Publications - 9
Citations - 2588
Maylis Layan is an academic researcher from Pasteur Institute. The author has contributed to research in topics: Rabies & Epidemiology. The author has an hindex of 4, co-authored 6 publications receiving 1704 citations. Previous affiliations of Maylis Layan include University of Paris.
Papers
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Journal ArticleDOI
The effect of human mobility and control measures on the COVID-19 epidemic in China.
Moritz U. G. Kraemer,Moritz U. G. Kraemer,Moritz U. G. Kraemer,Chia-Hung Yang,Bernardo Gutierrez,Bernardo Gutierrez,Chieh-Hsi Wu,Brennan Klein,David M. Pigott,Louis du Plessis,Nuno R. Faria,Ruoran Li,William P. Hanage,John S. Brownstein,John S. Brownstein,Maylis Layan,Maylis Layan,Alessandro Vespignani,Alessandro Vespignani,Huaiyu Tian,Christopher Dye,Oliver G. Pybus,Oliver G. Pybus,Samuel V. Scarpino +23 more
TL;DR: Real-time mobility data from Wuhan and detailed case data including travel history are used to elucidate the role of case importation in transmission in cities across China and to ascertain the impact of control measures.
Posted ContentDOI
The effect of human mobility and control measures on the COVID-19 epidemic in China.
Moritz U. G. Kraemer,Chia-Hung Yang,Bernardo Gutierrez,Chieh-Hsi Wu,Brennan Klein,David M. Pigott,Louis du Plessis,Nuno R. Faria,Ruoran Li,William P. Hanage,John S. Brownstein,Maylis Layan,Alessandro Vespignani,Huaiyu Tian,Christopher Dye,Simon Cauchemez,Oliver G. Pybus,Samuel V. Scarpino +17 more
TL;DR: This study uses real-time mobility data from Wuhan and detailed case data including travel history to elucidate the role of case importation on transmission in cities across China and ascertain the impact of control measures.
Journal ArticleDOI
An ensemble model based on early predictors to forecast COVID-19 health care demand in France
Juliette Paireau,Alessio Andronico,Nathanaël Hozé,Maylis Layan,Pascal Crépey,A. Roumagnac,Marc Lavielle,Pierre-Yves Boëlle,Simon Cauchemez +8 more
TL;DR: An ensemble that combines several models to anticipate French COVID-19 health care needs up to 14 days ahead is designed and a promising approach to facilitate the planning of hospital activity is proposed.
An ensemble model based on early predictors to forecast COVID-19 healthcare demand in France
Juliette Paireau,Alessio Andronico,Nathanaël Hozé,Maylis Layan,Pascal Crépey,Alix Roumagnac,Marc Lavielle,Pierre-Yves Boëlle,Simon Cauchemez +8 more
TL;DR: In this paper, the authors evaluated the performance of 12 individual models and 19 predictors to anticipate French COVID-19 related healthcare needs from September 7th 2020 to March 6th 2021.
Posted ContentDOI
Impact of BNT162b2 vaccination and isolation on SARS-CoV-2 transmission in Israeli households: an observational study
Maylis Layan,Maylis Layan,Mayan Gilboa,Mayan Gilboa,Tal Gonen,Tal Gonen,Miki Goldenfeld,Miki Goldenfeld,Lilac Meltzer,Lilac Meltzer,Alessio Andronico,Nathanaël Hozé,Simon Cauchemez,Gili Regev-Yochay,Gili Regev-Yochay +14 more
TL;DR: In this paper, the authors evaluated the role of vaccination and isolation on SARS-CoV-2 transmission within Israeli households and found that vaccination significantly reduced both the risk of infection and of transmission if infected.