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Bastian Prasse
Bastian Prasse
Expert in Mathematical Modelling at the European Centre for Disease Prevention and Control (ECDC)
Verificeret mail på ecdc.europa.eu
Titel
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År
Network-inference-based prediction of the COVID-19 epidemic outbreak in the Chinese province Hubei
B Prasse, MA Achterberg, L Ma, P Van Mieghem
Applied Network Science 5, 1-11, 2020
712020
Comparing the accuracy of several network-based COVID-19 prediction algorithms
MA Achterberg, B Prasse, L Ma, S Trajanovski, M Kitsak, P Van Mieghem
International journal of forecasting 38 (2), 489-504, 2022
692022
Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches
P Tewarie, B Prasse, JM Meier, FAN Santos, L Douw, M Schoonheim, ...
NeuroImage, 116805, 2020
492020
Network Reconstruction and Prediction of Epidemic Outbreaks for General Group-Based Compartmental Epidemic Models
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering, 2020
412020
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
K Sherratt, H Gruson, H Johnson, R Niehus, B Prasse, F Sandmann, ...
Elife 12, e81916, 2023
402023
Time-dependent solution of the NIMFA equations around the epidemic threshold
B Prasse, P Van Mieghem
Journal of mathematical biology 81 (6), 1299-1355, 2020
282020
Implications of the further emergence and spread of the SARS CoV 2 B. 1.1. 529 variant of concern (Omicron) for the EU/EEA first update
TA Brief
European Centre for Disease Prevention and Control, 2021
272021
Network-based prediction of COVID-19 epidemic spreading in Italy
C Pizzuti, A Socievole, B Prasse, P Van Mieghem
Applied Network Science 5, 1-22, 2020
242020
Predicting network dynamics without requiring the knowledge of the interaction graph
B Prasse, P Van Mieghem
Proceedings of the National Academy of Sciences 119 (44), e2205517119, 2022
21*2022
The viral state dynamics of the discrete-time NIMFA epidemic model
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering 7 (3), 1667-1674, 2019
162019
Predicting time‐resolved electrophysiological brain networks from structural eigenmodes
P Tewarie, B Prasse, J Meier, K Mandke, S Warrington, CJ Stam, ...
Human brain mapping 43 (14), 4475-4491, 2022
152022
Clustering for epidemics on networks: A geometric approach
B Prasse, K Devriendt, P Van Mieghem
Chaos: an interdisciplinary journal of nonlinear science 31 (6), 2021
142021
Public health considerations for transitioning beyond the acute phase of the COVID-19 pandemic in the EU/EEA
JE Suk, A Pharris, J Beauté, E Colzani, H Needham, J Kinsman, R Niehus, ...
Eurosurveillance 27 (17), 2200155, 2022
112022
Interlayer connectivity reconstruction for multilayer brain networks using phase oscillator models
P Tewarie, B Prasse, J Meier, A Byrne, M De Domenico, CJ Stam, ...
New Journal of Physics 23 (6), 063065, 2021
102021
Exact network reconstruction from complete SIS nodal state infection information seems infeasible
B Prasse, P Van Mieghem
IEEE Transactions on Network Science and Engineering 6 (4), 748-759, 2018
102018
The influence of COVID-19 risk perception and vaccination status on the number of social contacts across Europe: insights from the CoMix study
J Wambua, N Loedy, CI Jarvis, KLM Wong, C Faes, R Grah, B Prasse, ...
BMC Public Health 23 (1), 1350, 2023
92023
Accuracy of predicting epidemic outbreaks
B Prasse, MA Achterberg, P Van Mieghem
Physical Review E 105 (1), 014302, 2022
9*2022
Network reconstruction and prediction of epidemic outbreaks for NIMFA processes
B Prasse, P Van Mieghem
arXiv preprint arXiv:1811.06741, 2018
92018
Maximum-likelihood network reconstruction for SIS processes is NP-hard
B Prasse, P Van Mieghem
arXiv preprint arXiv:1807.08630, 2018
82018
Analysis of continuous-time Markovian ɛ-SIS epidemics on networks
MA Achterberg, B Prasse, P Van Mieghem
Physical Review E 105 (5), 054305, 2022
72022
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Artikler 1–20