Spread of epidemic disease on networks
Santa Fe Institute · University of Michigan–Ann Arbor
Abstract
The study of social networks, and in particular the spread of disease on networks, has attracted considerable recent attention in the physics community. In this paper, we show that a large class of standard epidemiological models, the so-called susceptible/infective/removed (SIR) models can be solved exactly on a wide variety of networks. In addition to the standard but unrealistic case of fixed infectiveness time and fixed and uncorrelated probability of transmission between all pairs of individuals, we solve cases in which times and probabilities are nonuniform and correlated. We also consider one simple case of an epidemic in a structured population, that of a sexually transmitted disease in a population…
Citation impact
- FWCI
- 31.38
- Percentile
- 100%
- References
- 53
Authors
1Topics & keywords
- Correctness
- Uncorrelated
- Transmission (telecommunications)
- Epidemic model
- Population
- Disease
- Variety (cybernetics)
- Class (philosophy)
- Good health and well-being