School of Information Science Technology, East China Normal University, Shanghai 200241, China.
Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 611731, China.
Chaos. 2019 May;29(5):053123. doi: 10.1063/1.5063960.
Coinfection mechanism is a common interacting mode between multiple diseases in real spreading processes, where the diseases mutually increase their susceptibility, and has aroused widespread studies in network science. We use the bond percolation theory to characterize the coinfection model under two self-awareness control strategies, including immunization strategy and quarantine strategy, and to study the impacts of the synergy effect and control strategies on cooperative epidemics. We find that strengthening the synergy effect can reduce the epidemic threshold and enhance the outbreak size of coinfected networks. On Erdős-Rényi networks, the synergy effect will induce a crossover phenomenon of phase transition, i.e., make the type of phase transition from being continuous to discontinuous. Self-awareness control strategies play a non-negligible role in suppressing cooperative epidemics. In particular, increasing immunization or the quarantine rate can enhance the epidemic threshold and reduce the outbreak size of cooperative epidemics, and lead to a crossover phenomenon of transition from being discontinuous to continuous. The impact of quarantine strategy on cooperative epidemics is more significant than the immunization strategy, which is verified on scale-free networks.
Coinfection 机制是真实传播过程中多种疾病之间常见的相互作用模式，其中疾病相互增加其易感性，并在网络科学中引起了广泛的研究。我们使用键渗流理论来描述两种自我意识控制策略下的共感染模型，包括免疫策略和检疫策略，并研究协同效应和控制策略对合作传染病的影响。我们发现，增强协同效应可以降低传染病的阈值并增强共感染网络的爆发规模。在 Erdős-Rényi 网络上，协同效应会引起相变的交叉现象，即使相变类型从连续变为不连续。自我意识控制策略在抑制合作传染病方面发挥着不可忽视的作用。特别是，增加免疫或检疫率可以提高传染病的阈值并降低合作传染病的爆发规模，并导致从不连续到连续的相变交叉现象。检疫策略对合作传染病的影响比免疫策略更为显著，这在无标度网络上得到了验证。
