In era of big data,how to make full use of data analysis and data mining to effectively detect the spread of infectious diseases is of great significance for epidemic prevention & control as well as for individual security.Voluntary vaccination is an effective way to achieve broad immunity and safety protection for the whole population.Previous research results have showed that an individual's decision on voluntary vaccination is mainly based upon tradeoff between the infection risk and the protective profit,in which the decision of the individual's neighbors in last season is of impact,indicating the influence of strategy-updating for the collective security and protection.This paper studies into the effect of different strategy updates on the voluntary vaccination.The average proportion of vaccination,epidemic scale and total social cost are compared between different strategy updates.Thereafter,a reasonable strategy-updatingisdesigned to achieve relatively big vaccination coverage and small disease outbreak scale with relatively low social cost.