%0 Journal Article %1 Zanette2008 %A Zanette, Damián H. %A Risau-Gusman, Sebastián %D 2008 %J J. Biol. Phys. %K networks coevolution epidemics graphs %N 1-2 %P 135-148 %R 10.1007/s10867-008-9060-9 %T Infection spreading in a population with evolving contacts %V 34 %X 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.

@article{Zanette2008, abstract = {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.}, added-at = {2011-01-13T13:26:44.000+0100}, author = {Zanette, Damián H. and Risau-Gusman, Sebastián}, biburl = {https://www.bibsonomy.org/bibtex/2bb0f5c8c625502ef9556effed804e7e1/rincedd}, doi = {10.1007/s10867-008-9060-9}, file = {Zanette2008 - Infection Spreading in a Population with Evolving Contacts.pdf:Contact Processes/Zanette2008 - Infection Spreading in a Population with Evolving Contacts.pdf:PDF}, interhash = {ad9f885ab19c542099be6c3019a438f7}, intrahash = {bb0f5c8c625502ef9556effed804e7e1}, journal = {J. Biol. Phys.}, keywords = {networks coevolution epidemics graphs}, number = {1-2}, pages = {135-148}, timestamp = {2011-01-13T13:26:44.000+0100}, title = {Infection spreading in a population with evolving contacts}, volume = 34, year = 2008 }