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- Title
The effect of information-driven resource allocation on the propagation of epidemic with incubation period.
- Authors
Zhu, Xuzhen; Liu, Yuxin; Wang, Xiaochen; Zhang, Yuexia; Liu, Shengzhi; Ma, Jinming
- Abstract
In the pandemic of COVID-19, there are exposed individuals who are infected but lack distinct clinical symptoms. In addition, the diffusion of related information drives aware individuals to spontaneously seek resources for protection. The special spreading characteristic and coevolution of different processes may induce unexpected spreading phenomena. Thus we construct a three-layered network framework to explore how information-driven resource allocation affects SEIS (susceptible–exposed–infected–susceptible) epidemic spreading. The analyses utilizing microscopic Markov chain approach reveal that the epidemic threshold depends on the topology structure of epidemic network and the processes of information diffusion and resource allocation. Conducting extensive Monte Carlo simulations, we find some crucial phenomena in the coevolution of information diffusion, resource allocation and epidemic spreading. Firstly, when E-state (exposed state, without symptoms) individuals are infectious, long incubation period results in more E-state individuals than I-state (infected state, with obvious symptoms) individuals. Besides, when E-state individuals have strong or weak infectious capacity, increasing incubation period has an opposite effect on epidemic propagation. Secondly, the short incubation period induces the first-order phase transition. But enhancing the efficacy of resources would convert the phase transition to a second-order type. Finally, comparing the coevolution in networks with different topologies, we find setting the epidemic layer as scale-free network can inhibit the spreading of the epidemic.
- Subjects
RESOURCE allocation; FIRST-order phase transitions; CROP allocation; MONTE Carlo method; PHASE transitions; EPIDEMICS
- Publication
Nonlinear Dynamics, 2022, Vol 110, Issue 3, p2913
- ISSN
0924-090X
- Publication type
Article
- DOI
10.1007/s11071-022-07709-8