| Infectious diseases do harm to human body health. The prevention and control of infectious diseases have been attracting the attention of countries all over the world. Vaccination is an effective way to prevent the spread of infectious diseases. However, vaccination is a long-standing social dilemmas. Under the voluntary vaccination, individuals tend to give priority to choose not to vaccination, so it is difficult to achieve herd immunity. Therefore, it is of great significance to study the vaccination strategy of infectious diseases and to encourage individuals to take the initiative to vaccinate.Based on the evolutionary game theory, this paper studies the vaccination strategy, and the main contents are as follows:(1) In this paper, the network structure attribute is considered in the prediction model of infectious disease and the vaccination strategy. The spread of infectious diseases in the population depends not only on the pathogen itself, but also on the impact of social network structure. The transmission of an infectious disease from one individual to another is largely determined by the network structure.(2) In this paper, based on the traditional study, we consider the situation that the vaccine may fail with certain probability. In this case, we compensate those individuals who get vaccination but still get infected. We use this method to motivate the population to take the initiative to vaccinate.(3) In decision-making phase, the traditional approach is to randomly select individuals, compare the two benefits, and then modify their strategy. This article made a modification modified:first randomly choose an individual and get his strategy, second calculate the average value of the benefits of all participants who choose this strategy, last compare the two benefits and modify their strategy.Results show that our proposed prediction model of infectious diseases and vaccination strategy considering the network structure performs better than latest research model. |
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