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Heterogeneous population dynamics and scaling laws near epidemic outbreaks
Andreas Widder,
Christian Kuehn
Chair of Multiscale and Stochastic Dynamics
Technical University of Vienna
Research output
:
Contribution to journal
›
Article
›
peer-review
8
Scopus citations
Overview
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Keyphrases
Scaling Laws
100%
Inuence
100%
Epidemic Outbreak
100%
Dynamic Law
100%
Heterogeneous Population Dynamics
100%
Homogeneous Systems
66%
Warning Signs
66%
Numerical Simulation
33%
Bifurcation Point
33%
Dynamical Properties
33%
Heterogeneous Systems
33%
Quantitative Features
33%
Disease Outbreaks
33%
Dynamical Structure
33%
Global Behavior
33%
Critical Transition
33%
Heterogeneous Population
33%
Early Warning Signals
33%
Stochasticity
33%
Noise Terms
33%
Fast-slow
33%
Uctuations
33%
Basic Reproduction number
33%
Epidemic Prediction
33%
Mathematics
Homogeneous System
100%
Heterogeneous Population
100%
Scaling Law
100%
Reproduction Number
50%
Stochastics
50%
Bifurcation Point
50%