The effect of the disease spreading rate β, the information dissemination rate κ and one event on the total infected rate. (A) two-layer network of disease spreading and information dissemination without event. (B) two-layer network of disease spreading and information dissemination with one event, starting at time t=0 with competition effect I=0.9 and duration of 8. In two cases we always set the information decaying rate κ’=0.2, the infection reduction rate η=0.85 and the recovering rate γ=0.1. (C) The net effect of one event on the total infected rate, which shows the effect of the event is more significant when the information dissemination rate κ and the disease spreading rate β are both small. For the image processing, the Gaussian smoothing algorithm with σ=1.5 was used.