Size of Outbreaks Near the Epidemic Threshold
arXiv:q-bio/0402001 · doi:10.1103/PhysRevE.69.050901
Abstract
The spread of infectious diseases near the epidemic threshold is investigated. Scaling laws for the size and the duration of outbreaks originating from a single infected individual in a large susceptible population are obtained. The maximal size of an outbreak n_* scales as N^{2/3} with N the population size. This scaling law implies that the average outbreak size <n> scales as N^{1/3}. Moreover, the maximal and the average duration of an outbreak grow as t_* ~ N^{1/3} and <t> ~ ln N, respectively.
arXiv comment4 pages, 5 figures
References in corpus (4)
Cited by in corpus (23)
- Critical phenomena in complex networks
- On the critical behavior of the Susceptible-Infected-Recovered (SIR) model on a square lattice
- Reinforcement-Driven Spread of Innovations and Fads
- Epidemic plateau in critical SIR dynamics with non-trivial initial conditions
- Solution of an infection model near threshold
- Phase Transition with Non-Thermodynamic States in Reversible Polymerization
- Exploring the threshold of epidemic spreading for a stochastic SIR model with local and global contacts
- Epidemics with containment measures
- Outbreak size distributions in epidemics with multiple stages
- Critical behavior of the SIS epidemic model with time-dependent infection rate
- Scaling Behavior of Threshold Epidemics
- Robustness of correlated networks against propagating attacks
- Two golden times in two-step contagion models
- Novel exponents control the quasi-deterministic limit of the extinction transition
- Susceptible-Infected-Recovered model on Euclidean network
- Crossover from weak to strong disorder regime in the duration of epidemics
- Recursive contact tracing in Reed-Frost epidemic models
- Self-driven criticality in a stochastic epidemic model
- Epidemic Forecast Follies
- Self-organized model of cascade spreading
- Near-critical SIR epidemic on a random graph with given degrees
- Shocks Generate Crossover Behaviour In Lattice Avalanches
- Containing Viral Spread on Sparse Random Graphs: Bounds, Algorithms, and Experiments