Awareness design and analysis upon two infectious states based on susceptible-exposed-infected-vigilant (SEIV) model

In this paper, the interaction between human awareness design and epidemic dynamics over arbitrary directed networks has been studied. People gain awareness and fear of the disease from three information sources and a novel awareness design upon two infectious states is proposed to reduce the susceptibility of individuals, which in turn could affect the threshold and outbreak of the epidemic spreading system. The novel awareness response design is applied to a continuous mean-field SEIV model to illustrate the effectiveness of the system. The system global exponential stability analysis and epidemic threshold embedded with human awareness are proposed in this paper. Simulation studies are carried out to verify the effectiveness of two human awareness which can increase the epidemic threshold, reduce the epidemic breakout scale and inhibit disease transmission