Solving the Dynamic Correlation Problem of the Susceptible-Infected-Susceptible Model on Networks.
@article{Cai2016SolvingTD, title={Solving the Dynamic Correlation Problem of the Susceptible-Infected-Susceptible Model on Networks.}, author={Chao-Ran Cai and Zhi-Xi Wu and Michael Z. Q. Chen and Petter Holme and Jian-Yue Guan}, journal={Physical review letters}, year={2016}, volume={116 25}, pages={ 258301 } }
The susceptible-infected-susceptible (SIS) model is a canonical model for emerging disease outbreaks. Such outbreaks are naturally modeled as taking place on networks. A theoretical challenge in network epidemiology is the dynamic correlations coming from that if one node is infected, then its neighbors are likely to be infected. By combining two theoretical approaches-the heterogeneous mean-field theory and the effective degree method-we are able to include these correlations in an analytical…
46 Citations
Susceptible-infected-recovered epidemics in random networks with population awareness.
- MedicineChaos
- 2017
Results show that the local awareness can suppress significantly the epidemic spreading on complex networks via raising the epidemic threshold and such effects are closely related to the formulation of awareness functions.
Analytical computation of the epidemic prevalence and threshold for the discrete-time susceptible–infected–susceptible dynamics on static networks
- Mathematics, Medicine
- 2021
Robustness and fragility of the susceptible-infected-susceptible epidemic models on complex networks
- MathematicsPhysical review. E
- 2018
We analyze two alterations of the standard susceptible-infected-susceptible (SIS) dynamics that preserve the central properties of spontaneous healing and infection capacity of a vertex increasing…
Modeling the spread of multiple contagions on multilayer networks
- Computer SciencePhysica A: Statistical Mechanics and its Applications
- 2021
An SIS epidemic model with vaccination in a dynamical contact network of mobile individuals with heterogeneous spatial constraints
- MathematicsCommun. Nonlinear Sci. Numer. Simul.
- 2019
Effective approach to epidemic containment using link equations in complex networks
- Computer ScienceScience Advances
- 2018
The approach allows a scheme for the containment of epidemics based on deactivating the most important links in transmitting the disease, and promises to be an effective tool to maintain functionality of networks while controlling the spread of diseases, such as disease spread through air transportation networks.
Contact-Based Model for Epidemic Spreading on Temporal Networks
- Computer SciencePhysical Review. X
- 2019
A contact-based model to study the spreading of epidemics by means of extending the dynamic message-passing approach to temporal networks and derives an analytical expression for the epidemic threshold on temporal networks to demonstrate the feasibility of this method on empirical data.
The impact of heterogeneous response on coupled spreading dynamics in multiplex networks
- Business
- 2017
Toward a generalized theory of epidemic awareness in social networks
- Mathematics
- 2017
We discuss the dynamics of a susceptible-infected-susceptible (SIS) model with local awareness in networks. Individual awareness to the infectious disease is characterized by a general function of…
References
SHOWING 1-10 OF 46 REFERENCES
MATH
- Biology
- 1992
It is still unknown whether there are families of tight knots whose lengths grow faster than linearly with crossing numbers, but the largest power has been reduced to 3/z, and some other physical models of knots as flattened ropes or strips which exhibit similar length versus complexity power laws are surveyed.
Ann
- Psychology
- 2005
Aaron Beck’s cognitive therapy model has been used repeatedly to treat depression and anxiety. The case presented here is a 34-year-old female law student with an adjustment disorder with mixed…
Phys
- Rev. Lett. 111, 068701
- 2013
Journal of The Royal Society Interface 2
- 295
- 2005
Phys
- Rev. Lett. 86, 3200
- 2001
Phys
- Rev. E 86, 041125
- 2012
Rev
- Mod. Phys. 87, 925
- 2015
Nat
- Commun. 6, 6101
- 2015