A simulation analysis to characterize the dynamics of vaccinating behaviour on contact networks

摘要: Human behavior influences infectious disease transmission, and numerous "prevalence-behavior" models have analyzed this interplay. These previous analyses assumed homogeneously mixing populations without spatial or social structure. However, heterogeneity are known to significantly impact transmission dynamics particularly relevant for certain diseases. Previous work has demonstrated that contact structure can change the individual incentive vaccinate, thus enabling eradication of a under voluntary vaccination policy when corresponding homogeneous model predicts is impossible due free rider effects. Here, we extend characterize range possible behavior-prevalence on network. We simulate vaccine-prevetable infection through random, static Individuals choose whether not vaccinate any given day according perceived risks infection. find three outcomes type network: small final number vaccinated epidemic size (due rapid control ring vaccination); large significant imperfect vaccination), little no (corresponding vaccination). also show enables broad assumptions, except vaccine risk sufficiently high, low, individuals too late be effective. For where spread only network, relatively differences in parameter values relating at level translate into population-level such as vaccinated. The qualitative outcome rational, self interested behaviour vary substantially depending interactions between structure, risks, way decision-making modelled.