2007
DOI: 10.1016/j.tpb.2007.01.001
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Vaccinating behaviour, information, and the dynamics of SIR vaccine preventable diseases

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Cited by 203 publications
(261 citation statements)
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“…More precisely, as far as p(C) is not too reactive to changing perceived risks of VSE the equilibrium is stable independently of the age mechanism through which VSE arise after vaccination. This agrees with our findings on different models of vaccinating behaviour [11,12,13]. However, as argued in previous work on prevalence-related vaccine uptake [23,11,13], we expect that in realistic circumstances the index M will embed not only the current but also some information on the past history of VSE.…”
Section: Modelling the Impact Of Information On Vaccine Side Effects supporting
confidence: 93%
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“…More precisely, as far as p(C) is not too reactive to changing perceived risks of VSE the equilibrium is stable independently of the age mechanism through which VSE arise after vaccination. This agrees with our findings on different models of vaccinating behaviour [11,12,13]. However, as argued in previous work on prevalence-related vaccine uptake [23,11,13], we expect that in realistic circumstances the index M will embed not only the current but also some information on the past history of VSE.…”
Section: Modelling the Impact Of Information On Vaccine Side Effects supporting
confidence: 93%
“…Following ideas developed in d'Onofrio et al [11,13] we consider the following family of SIR models for a non-fatal disease in a constant homogeneously mixing population, with state-dependent vaccination coverage:…”
Section: Modelling the Impact Of Information On Vaccine Side Effects mentioning
confidence: 99%
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