Infection Spreading in a Population with Evolving Contacts
- 334 Downloads
We study the spreading of an infection within an SIS epidemiological model on a network. Susceptible agents are given the opportunity of breaking their links with infected agents. Broken links are either permanently removed or reconnected with the rest of the population. Thus, the network coevolves with the population as the infection progresses. We show that a moderate reconnection frequency is enough to completely suppress the infection. A partial, rather weak isolation of infected agents suffices to eliminate the endemic state.
KeywordsSIS epidemics Agent-based models Evolving networks
- 3.Hurst, C.J.: Modeling Disease Transmission and Its Prevention by Disinfection. Cambridge University Press, Cambridge (1996)Google Scholar
- 5.Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, New York (2007)Google Scholar
- 12.An example is explicitly analyzed in Anderson, R.M., May, R.M., Anderson, B.: Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Cambridge (1992)Google Scholar