The spread of an infectious disease is known to change people’s behavior, which in turn affects the spread of disease. Adaptive network models that account for both epidemic and behavioral change have found oscillations, but in an extremely narrow region of the parameter space, which contrasts with intuition and available data. In this paper we propose a simple susceptible-infected-susceptible epidemic model on an adaptive network with time-delayed rewiring, and show that oscillatory solutions are now present in a wide region of the parameter space. Altering the transmission or rewiring rates reveals the presence of an endemic bubble - an enclosed region of the parameter space where oscillations are observed
Epidemics on complex networks is a widely investigated topic in the last few years, mainly due to th...
Masuda N., Holme P. (eds).Infectious diseases have been modelled on networks that summarise physical...
Adaptive networks, which combine topological evolution of the network with dynamics on the network, ...
The dynamic nature of a system gives rise to dynamical features of epidemic spreading, such as oscil...
Data of physical contacts and face-to-face communications suggest temporally varying networks as the...
Many studies investigating the effect of human social connectivity structures (networks) and human b...
Human societies are organized in complex webs that are constantly reshaped by a social dynamic which...
The dynamic nature of contact patterns creates diverse temporal structures. In particular, empirical...
Human societies are organized in complex webs that are constantly reshaped by a social dynamic which...
Even though transitivity is a central structural feature of social networks, its influence on epidem...
We study the Susceptible-Infected-Susceptible model of epidemic spreading on two layers of networks ...
The study of epidemics on static networks has revealed important effects on disease prevalence of ne...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
The continuous-time adaptive susceptible-infected-susceptible (ASIS) epidemic model and the adaptive...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
Epidemics on complex networks is a widely investigated topic in the last few years, mainly due to th...
Masuda N., Holme P. (eds).Infectious diseases have been modelled on networks that summarise physical...
Adaptive networks, which combine topological evolution of the network with dynamics on the network, ...
The dynamic nature of a system gives rise to dynamical features of epidemic spreading, such as oscil...
Data of physical contacts and face-to-face communications suggest temporally varying networks as the...
Many studies investigating the effect of human social connectivity structures (networks) and human b...
Human societies are organized in complex webs that are constantly reshaped by a social dynamic which...
The dynamic nature of contact patterns creates diverse temporal structures. In particular, empirical...
Human societies are organized in complex webs that are constantly reshaped by a social dynamic which...
Even though transitivity is a central structural feature of social networks, its influence on epidem...
We study the Susceptible-Infected-Susceptible model of epidemic spreading on two layers of networks ...
The study of epidemics on static networks has revealed important effects on disease prevalence of ne...
We present a thorough inspection of the dynamical behavior of epidemic phenomena in populations with...
The continuous-time adaptive susceptible-infected-susceptible (ASIS) epidemic model and the adaptive...
We study the standard SIS model of epidemic spreading on networks where individuals have a fluctuati...
Epidemics on complex networks is a widely investigated topic in the last few years, mainly due to th...
Masuda N., Holme P. (eds).Infectious diseases have been modelled on networks that summarise physical...
Adaptive networks, which combine topological evolution of the network with dynamics on the network, ...