School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China.
Complex Systems Research Center, Shanxi University, Taiyuan 030006, China.
Chaos. 2021 Jun;31(6):063108. doi: 10.1063/5.0048457.
Complex networks have become an important tool for investigating epidemic dynamics. A widely concerned research field for epidemics is to develop and study mitigation strategies or control measures. In this paper, we devote our attention to ring vaccination and targeted vaccination and consider the combination of them. Based on the different roles ring vaccination plays in the mixed strategy, the whole parameter space can be roughly divided into two regimes. In one regime, the mixed strategy performs poorly compared with targeted vaccination alone, while in the other regime, the addition of ring vaccination can improve the performance of targeted vaccination. This result gives us the more general and overall comparison between targeted and ring vaccination. In addition, we construct a susceptible-infected-recovered epidemic model coupled with the immunization dynamics on random networks. The comparison between stochastic simulations and numerical simulations confirms the validity of the model we propose.
复杂网络已成为研究传染病动力学的重要工具。传染病领域一个备受关注的研究方向是开发和研究缓解策略或控制措施。在本文中，我们关注环形疫苗接种和靶向疫苗接种，并考虑它们的组合。基于环形疫苗接种在混合策略中扮演的不同角色，可以将整个参数空间大致分为两个区域。在一个区域中，与单独的靶向疫苗接种相比，混合策略表现不佳，而在另一个区域中，环形疫苗接种的加入可以提高靶向疫苗接种的效果。这个结果为我们提供了更一般和全面的靶向和环形疫苗接种的比较。此外，我们构建了一个带有免疫动力学的易感染-感染-恢复传染病模型，在随机网络上进行。随机模拟与数值模拟的比较证实了我们提出的模型的有效性。
