Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks

Abstract

We consider an epidemic process on adaptive activity-driven temporal networks, with adaptive behaviour modelled as a change in activity and attractiveness due to infection. By using a mean-field approach, we derive an analytical estimate of the epidemic threshold for SIS and SIR epidemic models for a general adaptive strategy, which strongly depends on the correlations between activity and attractiveness in the susceptible and infected states. We focus on strong social distancing, implementing two types of quarantine inspired by recent real case studies: an active quarantine, in which the population compensates the loss of links rewiring the ineffective connections towards non-quarantining nodes, and an inactive quarantine, in which the links with quarantined nodes are not rewired. Both strategies feature the same epidemic threshold but they strongly differ in the dynamics of active phase. We show that the active quarantine is extremely less effective in reducing the impact of the epidemic in the active phase compared to the inactive one, and that in SIR model a late adoption of measures requires inactive quarantine to reach containment.

arXiv comment6 pages, 4 figures

References in corpus (19)

• Epidemic processes in complex networks
• Temporal Networks
• Epidemic dynamics on an adaptive network
• Activity driven modeling of time varying networks
• Time varying networks and the weakness of strong ties
• Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks
• Controlling Contagion Processes in Time-Varying Networks
• Effect of risk perception on epidemic spreading in temporal networks
• Prudent behaviour accelerates disease transmission
• Epidemic Spreading on Activity-Driven Networks with Attractiveness
• Quarantine generated phase transition in epidemic spreading
• Asymptotic theory for the dynamic of networks with heterogenous social capital allocation
• Birth and death of links control disease spreading in empirical contact networks
• Topological properties of a time-integrated activity driven network
• Epidemic Threshold in Continuous-Time Evolving Networks
• Epidemic Spreading and Aging in Temporal Networks with Memory
• Burstiness and tie reinforcement in time varying social networks
• Burstiness in activity-driven networks and the epidemic threshold
• Dynamic topologies of activity-driven temporal networks with memory

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