Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Hugo Gruson"'
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 5, p e1012045 (2024)
This paper extends the FAIR (Findable, Accessible, Interoperable, Reusable) guidelines to provide criteria for assessing if software conforms to best practices in open source. By adding "USE" (User-Centered, Sustainable, Equitable), software developm
Externí odkaz:
https://doaj.org/article/34550abd55f54ecd87dea316f9480523
Autor:
Katharine Sherratt, Hugo Gruson, Rok Grah, Helen Johnson, Rene Niehus, Bastian Prasse, Frank Sandmann, Jannik Deuschel, Daniel Wolffram, Sam Abbott, Alexander Ullrich, Graham Gibson, Evan L Ray, Nicholas G Reich, Daniel Sheldon, Yijin Wang, Nutcha Wattanachit, Lijing Wang, Jan Trnka, Guillaume Obozinski, Tao Sun, Dorina Thanou, Loic Pottier, Ekaterina Krymova, Jan H Meinke, Maria Vittoria Barbarossa, Neele Leithauser, Jan Mohring, Johanna Schneider, Jaroslaw Wlazlo, Jan Fuhrmann, Berit Lange, Isti Rodiah, Prasith Baccam, Heidi Gurung, Steven Stage, Bradley Suchoski, Jozef Budzinski, Robert Walraven, Inmaculada Villanueva, Vit Tucek, Martin Smid, Milan Zajicek, Cesar Perez Alvarez, Borja Reina, Nikos I Bosse, Sophie R Meakin, Lauren Castro, Geoffrey Fairchild, Isaac Michaud, Dave Osthus, Pierfrancesco Alaimo Di Loro, Antonello Maruotti, Veronika Eclerova, Andrea Kraus, David Kraus, Lenka Pribylova, Bertsimas Dimitris, Michael Lingzhi Li, Soni Saksham, Jonas Dehning, Sebastian Mohr, Viola Priesemann, Grzegorz Redlarski, Benjamin Bejar, Giovanni Ardenghi, Nicola Parolini, Giovanni Ziarelli, Wolfgang Bock, Stefan Heyder, Thomas Hotz, David E Singh, Miguel Guzman-Merino, Jose L Aznarte, David Morina, Sergio Alonso, Enric Alvarez, Daniel Lopez, Clara Prats, Jan Pablo Burgard, Arne Rodloff, Tom Zimmermann, Alexander Kuhlmann, Janez Zibert, Fulvia Pennoni, Fabio Divino, Marti Catala, Gianfranco Lovison, Paolo Giudici, Barbara Tarantino, Francesco Bartolucci, Giovanna Jona Lasinio, Marco Mingione, Alessio Farcomeni, Ajitesh Srivastava, Pablo Montero-Manso, Aniruddha Adiga, Benjamin Hurt, Bryan Lewis, Madhav Marathe, Przemyslaw Porebski, Srinivasan Venkatramanan, Rafal P Bartczuk, Filip Dreger, Anna Gambin, Krzysztof Gogolewski, Magdalena Gruziel-Slomka, Bartosz Krupa, Antoni Moszyński, Karol Niedzielewski, Jedrzej Nowosielski, Maciej Radwan, Franciszek Rakowski, Marcin Semeniuk, Ewa Szczurek, Jakub Zielinski, Jan Kisielewski, Barbara Pabjan, Kirsten Holger, Yuri Kheifetz, Markus Scholz, Biecek Przemyslaw, Marcin Bodych, Maciej Filinski, Radoslaw Idzikowski, Tyll Krueger, Tomasz Ozanski, Johannes Bracher, Sebastian Funk
Publikováno v:
eLife, Vol 12 (2023)
Background: Short-term forecasts of infectious disease burden can contribute to situational awareness and aid capacity planning. Based on best practice in other fields and recent insights in infectious disease epidemiology, one can maximise the predi
Externí odkaz:
https://doaj.org/article/26d25f44b203488cba00565db28416bb
Autor:
Sophie Meakin, Sam Abbott, Nikos Bosse, James Munday, Hugo Gruson, Joel Hellewell, Katharine Sherratt, CMMID COVID-19 Working Group, Sebastian Funk
Publikováno v:
BMC Medicine, Vol 20, Iss 1, Pp 1-15 (2022)
Abstract Background Forecasting healthcare demand is essential in epidemic settings, both to inform situational awareness and facilitate resource planning. Ideally, forecasts should be robust across time and locations. During the COVID-19 pandemic in
Externí odkaz:
https://doaj.org/article/a84a5f3b6db34c8a8a1c429ce0c8eb9b
Multi-model and multi-team ensemble forecasts have become widely used to generate reliable short-term predictions of infectious disease spread. Notably, various public health agencies have used them to leverage academic disease modelling during the C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0429f152b9f71879c6819e26e89021f6
https://doi.org/10.1101/2022.10.12.22280917
https://doi.org/10.1101/2022.10.12.22280917
Autor:
Simon Gubbins, Debapriyo Chakraborty, Jean-Luc Guérin, Hugo Gruson, Billy Bauzile, Claire Guinat, Timothée Vergne, Mathieu Andraud, Mattias Delpont, Mathilde Paul, Benjamin Roche
Publikováno v:
Transboundary and emerging diseases
Transboundary and emerging diseases, 2021, 68 (6), pp.3151-3155. ⟨10.1111/tbed.14202⟩
Transboundary and emerging diseases, Wiley-Blackwell, 2021, 68 (6), pp.3151-3155. ⟨10.1111/tbed.14202⟩
Transboundary and Emerging Diseases, 68 (6)
Transboundary and emerging diseases, 2021, 68 (6), pp.3151-3155. ⟨10.1111/tbed.14202⟩
Transboundary and emerging diseases, Wiley-Blackwell, 2021, 68 (6), pp.3151-3155. ⟨10.1111/tbed.14202⟩
Transboundary and Emerging Diseases, 68 (6)
Following the emergence of highly pathogenic avian influenza (H5N8) in France in early December 2020, we used duck mortality data from the index farm to investigate within-flock transmission dynamics. A stochastic epidemic model was fitted to the dai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b5c5e6ef27b71af0aaee24c7e1b98ed
https://doi.org/10.1111/tbed.14202
https://doi.org/10.1111/tbed.14202
Autor:
Matthias Grenié, Hugo Gruson
Publikováno v:
Ecography
Ecography, 2023, 2023 (3), pp.e06585. ⟨10.1111/ecog.06585⟩
Ecography, 2023, 2023 (3), pp.e06585. ⟨10.1111/ecog.06585⟩
International audience; Functional diversity is widely used and widespread. However, the main packages used to compute functional diversity indices are not flexible and not adapted to the volume of data used in modern ecological analyses. We here pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f8b69788e759cc6644c19c93e326aab
https://doi.org/10.32942/osf.io/dg7hw
https://doi.org/10.32942/osf.io/dg7hw
Autor:
Nikos I. Bosse, Damien Tully, William Waites, Christopher Jarvis, Sam Abbott, Stefan Flasche, Mark Jit, Billy Quilty, David Hodgson, Yang Liu, Hugo Gruson, Simon Procter
Publikováno v:
Meakin, S, Abbott, S, Bosse, N, Munday, J, Gruson, H, Hellewell, J, Sherratt, K & Funk, S 2022, ' Comparative assessment of methods for short-term forecasts of COVID-19 hospital admissions in England at the local level ', BMC Medicine, vol. 20, no. 1, 86 . https://doi.org/10.1186/s12916-022-02271-x
medRxiv
article-version (status) pre
article-version (number) 1
medRxiv
article-version (status) pre
article-version (number) 1
Background Forecasting healthcare demand is essential in epidemic settings, both to inform situational awareness and facilitate resource planning. Ideally, forecasts should be robust across time and locations. During the COVID-19 pandemic in England,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::006de2ff3fe687828b3eb4c2c9ed873a
https://doi.org/10.1101/2021.10.18.21265046
https://doi.org/10.1101/2021.10.18.21265046
Autor:
Hugo Gruson, Jean-Luc Guérin, Mathilde Paul, Claire Guinat, Billy Bauzile, Mattias Delpont, Benjamin Roche, Timothée Vergne, Mathieu Andraud, Debapriyo Chakraborty, Simon Gubbins
Following the emergence of highly pathogenic avian influenza (H5N8) in France in early December 2020, we used duck mortality data of the index case to investigate within-flock transmission dynamics. A stochastic epidemic model was adjusted to the dai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec45ccdc5f7c40cf1f5ac4f97fb6e7e8
https://doi.org/10.1101/2020.12.21.423436
https://doi.org/10.1101/2020.12.21.423436
Since the emergence of SARS-CoV-2, governments around the World have implemented a combination of public health responses based on non-pharmaceutical interventions (NPIs), with significant social and economic consequences. Though most European countr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed241b5e53742eb9f9b7a4bd06228364