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Imitation dynamics predict vaccinating behaviour

机译:模仿动态可预测接种行为

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There exists an interplay between vaccine coverage, disease prevalence and the vaccinating behaviour of individuals. Moreover, because of herd immunity, there is also a strategic interaction between individuals when they are deciding whether or not to vaccinate, because the probability that an individual becomes infected depends upon how many other individuals are vaccinated. To understand this potentially complex interplay, a game dynamic model is developed in which individuals adopt strategies according to an imitation dynamic (a learning process), and base vaccination decisions on disease prevalence and perceived risks of vaccines and disease. The model predicts that oscillations in vaccine uptake are more likely in populations where individuals imitate others more readily or where vaccinating behaviour is more sensitive to changes in disease prevalence. Oscillations are also more likely when the perceived risk of vaccines is high. The model reproduces salient features of the time evolution of vaccine uptake and disease prevalence during the whole-cell pertussis vaccine scare in England and Wales during the 1970s. This suggests that using game theoretical models to predict, and even manage, the population dynamics of vaccinating behaviour may be feasible.
机译:疫苗覆盖率,疾病患病率和个人接种行为之间存在相互作用。此外,由于具有群体免疫力,当个体决定是否进行疫苗接种时,个体之间也存在战略互动,因为个体被感染的可能性取决于有多少其他个体被接种。为了理解这种潜在的复杂相互作用,开发了一种游戏动态模型,其中,个人根据模仿动态(学习过程)采取策略,并根据疾病的流行程度以及疫苗和疾病的已知风险制定疫苗接种决策。该模型预测,在人群更容易模仿他人或疫苗接种行为对疾病患病率变化更敏感的人群中,疫苗摄入的波动更有可能发生。当人们认为疫苗的风险很高时,发生振荡的可能性也更高。该模型再现了1970年代英格兰和威尔士全细胞百日咳疫苗恐慌期间疫苗摄入时间演变和疾病流行的显着特征。这表明,使用博弈论模型来预测甚至管理接种行为的种群动态可能是可行的。

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