Autor: Łoś, Maciej - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Risk factors of acute respiratory distress syndrome after on-pump cardiac surgery in the INFLACOR cohort study
Autorzy:: Kowalik, Maciej Michał
Lewandowski, Krzysztof
Lango, Romuald
Rogowski, Jan
Chmara, Magdalena
Łoś, Andrzej
Klapkowski, Andrzej
Brzeziński, Maciej
Data publikacji:: 2020-05-29
Wydawca:: Medical University of Gdańsk
Słowa kluczowe:: LBP rs2232582
cardiopulmonary bypass
acute respiratory distress syndrome
cardiac surgery; Pokaż więcej
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 2.

Tytuł:: Risk factors of acute respiratory distress syndrome after on-pump cardiac surgery in the INFLACOR cohort study
Autorzy:: Lewandowski, Krzysztof
Chmara, Magdalena
Lango, Romuald
Klapkowski, Andrzej
Rogowski, Jan
Kowalik, Maciej Michał
Łoś, Andrzej
Brzeziński, Maciej
Współwytwórcy:: Medical University of Gdańsk
Data publikacji:: 2020-05-29
Wydawca:: Medical University of Gdańsk
Słowa kluczowe:: acute respiratory distress syndrome
LBP rs2232582
cardiac surgery
cardiopulmonary bypass; Pokaż więcej
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 3.

Tytuł:: National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021
Autorzy:: Schienle, Melanie
Bodych, Marcin
Srivastava, Ajitesh
Ullrich, Alexander
Mohring, Jan
Krueger, Tyll
Deuschel, Jannik
Bhatia, Sangeeta
Leithäuser, Neele
Meinke, Jan H.
Kheifetz, Yuri
Bracher, Johannes
Michaud, Isaac J.
Gneiting, Tilmann
Miasojedow, Błażej
Castro, Lauren
Fiedler, Jochen
Bertsimas, Dimitris
Gogolewski, Krzysztof
Burgard, Jan Pablo
Radwan, Maciej
Wolffram, Danie
Soni, Saksham
Abbott, Sam
Li, Michael L.
Krymova, Ekaterina
Ketterer, Jakob L.
Scholz, Markus
Heyder, Stefan
Fairchild, Geoffrey
Nowosielski, Jędrzej M.
Ozanski, Tomasz
Funk, Sebastian
Nouvellet, Pierre
Rakowski, Franciszek
Kirsten, Holger
Hotz, Thomas
Barbarossa, Maria V.
Görgen, Konstantin
Bosse, Nikos I.
Gambin, Anna
Fuhrmann, Jan
Współwytwórcy:: HIDSS4Health - Helmholtz Information and Data Science School for Health, Karlsruhe/Heidelberg, Germany
Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany
InterdisciplinaryCentre for Mathematical and Computational Modelling, University of Warsaw
Institute of Mathematics,Technische Universität Ilmenau, Germany
Fraunhofer Institute for Industrial Mathematics (ITWM), Kaiserslautern, Germany
Frankfurt Institute for Advanced Studies, Germany
Wroclaw University of Science and Technology, Poland
Institute for Applied Mathematics, University of Heidelberg, Germany
Information Systems and Modeling, Los Alamos National Laboratory, Los Alamos, NM, USA
Institute for Stochastics, Karlsruhe Institute of Technology (KIT), Germany
Robert Koch Institute (RKI), Berlin, Germany
Statistical Sciences Group, Los Alamos National Laboratory, USA
Ming Hsieh Department of Computer and Electrical Engineering, University of Southern California, Los Angeles, USA
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Germany
London School of Hygiene and Tropical Medicine, UK
School of Life Sciences, University of Sussex, Brighton, UK
Operations Research Center, MassachusettsInstitute of Technology, Cambridge, MA, USA
Chair of Statistical Methods and Econometrics, Karlsruhe Institute of Technology (KIT), Germany
Computational Statistics Group,Heidelberg Institute for Theoretical Studies (HITS), Germany
Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw
MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK
Economic and Social StatisticsDepartment, University of Trier, Germany
Sloan School of Management, Massachusetts Institute of Technology,Cambridge, MA, USA
Swiss Data Science Center, ETH Zürich and EPF Lausanne, Zürich, Switzerland
Data publikacji:: 2022
Wydawca:: Springer Nature
Słowa kluczowe:: Germany
COVID-19 pandemic
Poland
epidemiological forecast
forecasting models
SARS-CoV-2
epidemiological indicators; Pokaż więcej
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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Skocz do pozycji: 4.

Tytuł:: Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
Autorzy:: Divino, Fabio
Lasinio, Giovanna Jona
Semeniuk, Marcin
Niedzielewski, Karol
Parolini, Nicola
Morina, David
Nowosielski, Jedrzej
Pottier, Loic
Eclerova, Veronika
Prasse, Bastian
Osthus, Dave
Thanou, Dorina
Schneider, Johanna
Dreger, Filip
Holger, Kirsten
Trnka, Jan
Ardenghi, Giovanni
Giudici, Paolo
Zimmermann, Tom
Sherratt, Katharine
Wattanachit, Nutcha
Gambin, Anna
Filinski, Maciej
Pabjan, Barbara
Moszyński, Antoni
Fuhrmann, Jan
Funk, Sebastian
Bejar, Benjamin
Fairchild, Geoffrey
Kraus, Andrea
Montero-Manso, Pablo
Zielinski, Jakub
Redlarski, Grzegorz
Catala, Marti
Rodloff, Arne
Dimitris, Bertsimas
Zibert, Janez
Lewis, Bryan
Gruziel-Slomka, Magdalena
Krupa, Bartosz
Saksham, Soni
Idzikowski, Radoslaw
Bartolucci, Francesco
Guzman- Merino, Miguel
Lovison, Gianfranco
Hurt, Benjamin
Kheifetz, Yuri
Prats, Clara
Bracher, Johannes
Venkatramanan, Srinivasan
Scholz, Markus
Ziarelli, Giovanni
Gruson, Hugo
Grah, Rok
Obozinski, Guillaume
Reina, Borja
Leithauser, Neele
Bodych, Marcin
Porebski, Przemyslaw
Rakowski, Franciszek
Heyder, Stefan
Farcomeni, Alessio
Adiga, Aniruddha
Radwan, Maciej
Szczurek, Ewa
Gurung, Heidi
Barbarossa, Maria Vittoria
Suchoski, Bradley
Bock, Wolfgang
Krueger, Tyll
Ozanski, Tomasz
Villanueva, Inmaculada
Niehus, Rene
Tarantino, Barbara
Biecek, Przemyslaw
Maruotti, Antonello
Ray, Evan L
Zajicek, Milan
Kisielewski, Jan
Wolffram, Daniel
Rodiah, Isti
Meakin, Sophie R
Ullrich, Alexander
Lopez, Daniel
Wlazlo, Jaroslaw
Lange, Berit
Budzinski, Jozef
Meinke, Jan H
Alonso, Sergio
Gibson, Graham
Aznarte, Jose L
Reich, Nicholas G
Sheldon, Daniel
Kuhlmann, Alexander
Bartczuk, Rafal P
Burgard, Jan Pablo
Mingione, Marco
Priesemann, Viola
Baccam, Prasith
Walraven, Robert
Krymova, Ekaterina
Pribylova, Lenka
Srivastava, Ajitesh
Alvarez, Enric
Castro, Lauren
Michaud, Isaac
Marathe, Madhav
Wang, Lijing
Abbott, Sam
Bosse, Nikos I
Hotz, Thomas
Tucek, Vit
Gogolewski, Krzysztof
Dehning, Jonas
Mohring, Jan
Sandmann, Frank
Alaimo Di Loro, Pierfrancesco
Li, Michael Lingzhi
Deuschel, Jannik
Singh, David E
Smid, Martin
Pennoni, Fulvia
Wang, Yijin
Stage, Steven
Perez Alvarez, Cesar
Kraus, David
Mohr, Sebastian
Sun, Tao
Johnson, Helen
Współwytwórcy:: Éducation nationale, Valbonne, France
University of Bialystok, Poland
Medical University of Gdansk, Gdańsk, Poland
Universtät Leipzig, Leipzig, Germany
University of Virginia, Charlottesville, United States
LUMSA University, Rome, Italy
Robert Koch Institute, Berlin, Germany
University of Wroclaw, Wroclaw, Poland
IEM, Inc, Bel Air, United States
University of Southern California, Los Angeles, United States
Max-Planck-Institut für Dynamik und Selbstorganisation, Göttingen, Germany
Paul Scherrer Institute, Villigen, Switzerland
University of Perugia, Perugia, Italy
University of Ljubljana, Ljubljana, Slovenia
Universitat Trier, Trier, Germany
University of Sydney, Sydney, Australia
Warsaw University of Technology, Warsaw, Poland
University of Rome "La Sapienza", Rome, Italy
Technische Universität Ilmenau, Ilmenau, Germany
Karlsruhe Institute of Technology, Karlsruhe, Germany
Eidgenossische Technische Hochschule, Zurich, Switzerland
Institute of Computer Science of the CAS, Prague, Czech Republic
Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
University of Palermo, Palermo, Italy
Boston Children’s Hospital and Harvard Medical School, Boston, United States
Massachusetts Institute of Technology, Cambridge, United States
European Centre for Disease Prevention and Control (ECDC), Stockholm, Sweden
Universidad Carlos III de Madrid, Leganes, Spain
Institut d’Investigacions Biomèdiques August Pi i Sunyer, Universitat Pompeu Fabra, Barcelona, Spain
Institute of Information Theory and Automation of the CAS, Prague, Czech Republic
Universitat de Barcelona, Barcelona, Spain
University of Molise, Pesche, Italy
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Masaryk University, Brno, Czech Republic
Politecnico di Milano, Milan, Italy
Wroclaw University of Science and Technology, Wroclaw, Poland
University of Cologne, Cologne, Germany
Helmholtz Centre for Infection Research, Braunschweig, Germany
Frankfurt Institute for Advanced Studies, Frankfurt, Germany
IEM, Inc, Baton Rouge, United States;
Third Faculty of Medicine, Charles University, Prague, Czech Republic
Inverence, Madrid, Spain
University of Oxford, Oxford, United Kingdom
University of Rome "Tor Vergata", Rome, Italy
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw
Universitat Politècnica de Catalunya, Barcelona, Spain
London School of Hygiene & Tropical Medicine, London, United Kingdom
University of Massachusetts Amherst, Amherst, United States
Heidelberg University, Heidelberg, Germany
Los Alamos National Laboratory, Los Alamos, United States
Technical University of Kaiserlautern, Kaiserslautern, Germany
University of Milano-Bicocca, Milano, Italy
Forschungszentrum Jülich GmbH, Jülich, Germany
raunhofer Institute for Industrial Mathematics, Kaiserslautern, Germany
University of Pavia, Pavia, Italy
University of Halle, Halle, Germany
Data publikacji:: 2023-06-02
Wydawca:: eLife Sciences Publications Ltd.
Słowa kluczowe:: global health
COVID-19
epidemiology
ensemble
Europe
none
modelling
forecast
prediction; Pokaż więcej
Dostawca treści:: Repozytorium Centrum Otwartej Nauki

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