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epidemics
Omicron Modellierung
B F Maier
,
A Burdinski
,
M Wiedermann
,
Matthias an der Heiden
,
Thomas Harder
,
F Schlosser
,
D Brockmann
Biases in human mobility data impact epidemic modeling
F Schlosser
,
Vedran Sekara
,
D Brockmann
,
Manuel Garcia-Herranz
arXiv:2112.12521
Large-scale human mobility data is a key resource in data-driven policy making and across many scientific fields. Most recently, mobility data was …
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New preprint out: Germany’s current COVID-19 crisis is mainly driven by the unvaccinated
B F Maier
,
M Wiedermann
,
A Burdinski
,
P Klamser
,
M Jenny
,
C Betsch
,
D Brockmann
Finding disease outbreak locations from human mobility data
F Schlosser
,
D Brockmann
EPJ Data Science
Finding the origin location of an infectious disease outbreak quickly is crucial in mitigating its further dissemination. Current methods to identify …
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New paper out: Finding disease outbreak locations from human mobility data
F Schlosser
,
D Brockmann
New Monitor: Contact patterns during the Pandemic
F Schlosser
,
P Klamser
,
D Brockmann
,
A Zachariae
Spreading Routes on a Global Scale
D Brockmann
,
Dirk Helbing
Start Visualization
Complexity Explorables
D Brockmann
Go to project page
Saving human lives: What complexity science and information systems can contribute
D Helbing
,
D Brockmann
,
T Chadefaux
,
K Donnay
,
U Blanke
,
O Woolley-Meza
,
M Moussaid
,
A Johansson
,
J Krause
,
S Schutte
,
M Perc
Journal of statistical physics, 158 (3), 735--781
We discuss models and data of crowd disasters, crime, terrorism, war and disease spreading to show that conventional recipes, such as deterrence …
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The hidden geometry of complex, network-driven contagion phenomena
D Brockmann
,
D Helbing
Science 342 (6164), 1337-1342
The global spread of epidemics, rumors, opinions, and innovations are complex, network-driven dynamic processes. The combined multiscale nature and …
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