Back to Search
Start Over
Quarantine-generated phase transition in epidemic spreading
- Source :
- Physical Review E, CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET
- Publication Year :
- 2010
-
Abstract
- We study the critical effect of quarantine on the propagation of epidemics on an adaptive network of social contacts. For this purpose, we analyze the susceptible-infected-recovered (SIR) model in the presence of quarantine, where susceptible individuals protect themselves by disconnecting their links to infected neighbors with probability w, and reconnecting them to other susceptible individuals chosen at random. Starting from a single infected individual, we show by an analytical approach and simulations that there is a phase transition at a critical rewiring (quarantine) threshold w_c separating a phase (w= w_c) where the disease does not spread out. We find that in our model the topology of the network strongly affects the size of the propagation, and that w_c increases with the mean degree and heterogeneity of the network. We also find that w_c is reduced if we perform a preferential rewiring, in which the rewiring probability is proportional to the degree of infected nodes.<br />Comment: 13 pages, 6 figures
- Subjects :
- FOS: Computer and information sciences
Phase transition
Physics - Physics and Society
Population
FOS: Physical sciences
Physics and Society (physics.soc-ph)
01 natural sciences
Complex Networks
Models, Biological
010305 fluids & plasmas
law.invention
purl.org/becyt/ford/1 [https]
Disease susceptibility
law
0103 physical sciences
Quarantine
Disease Transmission, Infectious
Statistical physics
Physics - Biological Physics
010306 general physics
education
Epidemics
Condensed Matter - Statistical Mechanics
Mathematics
Social and Information Networks (cs.SI)
education.field_of_study
Degree (graph theory)
Statistical Mechanics (cond-mat.stat-mech)
COVID-19
Complex Systems
Computer Science - Social and Information Networks
purl.org/becyt/ford/1.3 [https]
Biological Physics (physics.bio-ph)
Disease Susceptibility
Disease transmission
Subjects
Details
- ISSN :
- 15502376
- Volume :
- 83
- Issue :
- 2 Pt 2
- Database :
- OpenAIRE
- Journal :
- Physical review. E, Statistical, nonlinear, and soft matter physics
- Accession number :
- edsair.doi.dedup.....78150373f64a2e6a2ca16e680e3242ce