N
Nils Haug
Researcher at Medical University of Vienna
Publications - 20
Citations - 1239
Nils Haug is an academic researcher from Medical University of Vienna. The author has contributed to research in topics: Generating function & Logarithmic derivative. The author has an hindex of 7, co-authored 20 publications receiving 560 citations. Previous affiliations of Nils Haug include University of Paris & Queen Mary University of London.
Papers
More filters
Journal ArticleDOI
Ranking the effectiveness of worldwide COVID-19 government interventions.
Nils Haug,Lukas Geyrhofer,Alessandro Londei,Elma Dervic,Amélie Desvars-Larrive,Vittorio Loreto,Beate Pinior,Stefan Thurner,Stefan Thurner,Peter Klimek +9 more
TL;DR: The results indicate that a suitable combination of NPIs is necessary to curb the spread of the virus, and a modelling approach that combines four computational techniques merging statistical, inference and artificial intelligence tools is proposed.
Journal ArticleDOI
A structured open dataset of government interventions in response to COVID-19.
Amélie Desvars-Larrive,Elma Dervic,Nils Haug,Thomas Niederkrotenthaler,Jiaying Chen,Anna Di Natale,Jana Lasser,Diana S. Gliga,Alexandra Roux,Alexandra Roux,Johannes Sorger,Abhijit Chakraborty,Alexandr Ten,Alija Dervic,Andrea Pacheco,Ania Jurczak,David Cserjan,Diana Lederhilger,Dominika Bulska,Dorontinë Berishaj,Erwin Flores Tames,Francisco S. Álvarez,Huda Takriti,Jan Korbel,Jenny Reddish,Joanna Grzymała-Moszczyńska,Johannes Stangl,Lamija Hadziavdic,Laura Stoeger,Leana Gooriah,Lukas Geyrhofer,Márcia R. Ferreira,Marta Bartoszek,Rainer Vierlinger,Samantha Holder,Simon Haberfellner,Verena Ahne,Viktoria Reisch,Vito D. P. Servedio,Xiao Chen,Xochilt Pocasangre-Orellana,Zuzanna Garncarek,David Garcia,Stefan Thurner,Stefan Thurner +44 more
TL;DR: A specific hierarchical coding scheme for NPIs is developed and a comprehensive structured dataset of government interventions and their respective timelines of implementation is generated via an open library to improve transparency and motivate collaborative validation process.
Posted ContentDOI
Ranking the effectiveness of worldwide COVID-19 government interventions
Nils Haug,Lukas Geyrhofer,Alessandro Londei,Elma Dervic,Amélie Desvars-Larrive,Vittorio Loreto,Beate Pinior,Stefan Thurner,Stefan Thurner,Peter Klimek +9 more
TL;DR: It is shown that there are NPIs considerably less intrusive and costly than lockdowns that are also highly effective, such as certain risk communication strategies and voluntary measures that strengthen the healthcare system.
Posted ContentDOI
A structured open dataset of government interventions in response to COVID-19
Amélie Desvars-Larrive,Elma Dervic,Nils Haug,Thomas Niederkrotenthaler,Jiaying Chen,Anna Di Natale,Jana Lasser,Diana S. Gliga,Alexandra Roux,Alexandra Roux,Abhijit Chakraborty,Alexandr Ten,Alija Dervic,Andrea Pacheco,David Cserjan,Diana Lederhilger,Dorontinë Berishaj,Erwin Flores Tames,Huda Takriti,Jan Korbel,Jenny Reddish,Johannes Stangl,Lamija Hadziavdic,Laura Stoeger,Leana Gooriah,Lukas Geyrhofer,Márcia R. Ferreira,Rainer Vierlinger,Samantha Holder,Samuel Álvarez,Simon Haberfellner,Verena Ahne,Viktoria Reisch,Vito D. P. Servedio,Xiao Chen,Xochilt Pocasangre-Orellana,David Garcia,Stefan Thurner,Stefan Thurner +38 more
TL;DR: A specific hierarchical coding scheme for NPIs is developed and a comprehensive structured dataset of government interventions and their respective timelines of implementation is generated to improve transparency and motivate collaborative validation process.
Journal ArticleDOI
High-risk multimorbidity patterns on the road to cardiovascular mortality
Nils Haug,Carola Deischinger,Michael Gyimesi,Alexandra Kautzky-Willer,Stefan Thurner,Peter Klimek +5 more
TL;DR: The approach can be used both to forecast future disease burdens, as well as to identify the critical events in the careers of patients which strongly determine their disease progression, therefore constituting targets for efficient prevention measures.