Spread of epidemic disease on networks
Bibliographic Data
| ID | 23355174 |
|---|---|
| Authors | M E J Newman (0000-0002-0907-1660, Santa Fe Institute, corresponding author) |
| Year | 2002 |
| Volume | 66 |
| Issue | 1 |
| Pages | 016128-016128 |
| Publication date | 2002-07-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Physical Review E (JOURNAL) |
| Journal identifiers | ISSN: 1539-3755 • E-ISSN: 1550-2376 |
| Publisher | American Physical Society (APS) (PUBLISHER) |
| DOI | 10.1103/physreve.66.016128 |
| PMID | 12241447 |
| OpenAlex | W2030539428 |
| Language | EN |
| Citations received | 94 |
| References cited | 42 |
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 divided into men and women. We confirm the correctness of our exact solutions with numerical simulations of SIR epidemics on networks.
Algorithm · Class (philosophy) · Correctness · Disease · Econometrics · Environmental health · Epidemic model · Physics · Population · Simple (philosophy) · Statistical physics · Statistics · Telecommunications · Transmission (telecommunications) · Uncorrelated · Variety (cybernetics) · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Medicine · Opinion Dynamics and Social Influence
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| Unique citing works | 94 |
|---|---|
| Citations per year | 4,09 |
| Citation span | 2003 - 2026 (24) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 80 |