Abstract
This paper establishes a compartment model describing the propagation of injurious information among a well-mixed population. We define the information’s injuriousness as the people practicing the information being injured and leaving the system. Some informed people practice the information and are active, while others do not practice and are inactive. With the recovery resources fixed, the two groups of informed people’s recovering rates are normalized considering the information features. The stability of the nonlinear system is thoroughly studied. Analyzing the reproduction number of the injurious information, we find that in general parameter space, when there are people in an informed compartment, it is not always necessary to consider their recovery resource allocation. Instead, only when their proportion reaches a critical point should it be allocated. Unless the people in an informed compartment form a certain proportion, we can take a laissez-faire attitude towards them. In a more realistic parameter space, once inactive informed people exist, they should be allocated recovery resources. On the one hand, when the recovering rate rises, the focus on both groups of informed people is necessary for more situations. On the other hand, when the rate of active informed people leaving the system rises, ignoring active informed people benefits removing the injurious information in more cases. The model provides qualitative ways in the scenarios of removing injurious information.
Publisher
Public Library of Science (PLoS)
Reference42 articles.
1. A contribution to the mathematical theory of epidemics;WO Kermack;Proc R Soc London Ser A,1927
2. Accurate closed-form solution of the SIR epidemic model;NS Barlow;Phys D,2020
3. Corrigendum to “Accurate closed-form solution of the SIR epidemic model” [Physica D 408 (2020) 132540](S0167278920302694)(10.1016/j.physd.2020.132540).;NS Barlow;Phys D Nonlinear Phenom,2021
4. Analytical parameter estimation of the SIR epidemic model. Applications to the COVID-19 pandemic;D. Prodanov;Entropy,2021
5. Analytic solution of the SEIR epidemic model via asymptotic approximant;SJ Weinstein;Phys D Nonlinear Phenom,2020
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献