Emergent Dynamical Features in Behaviour-Incidence Models of Vaccinating Decisions

Samit Bhattacharyya () and Chris T. Bauch ()
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Samit Bhattacharyya: University of Utah, Departments of Mathematics and Biology
Chris T. Bauch: University of Guelph, Department of Mathematics and Statistics

A chapter in Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases, 2013, pp 243-254 from Springer

Abstract: Abstract Vaccination is a cornerstone of infectious disease prevention. However, individual vaccinating behaviour does not always result in population-level vaccine coverage patterns that are optimal for protecting public health. For example, vaccine coverage may fall below the elimination threshold due to nonvaccinators who “free-ride” on the herd immunity provided by vaccinators. Routine vaccination programs for many paediatric infectious diseases now have an almost worldwide coverage, but vaccine scares fuelled by such behaviours threaten eradication goals. This free-riding behaviour can be seen as a manifestation of policy resistance, where humans respond to an intervention in such a way that tends to undermine the intervention. However, policy resistance is only one such example of the types of dynamics that emerge from the interaction between vaccinating behaviour and disease incidence or prevalence. Here we explore four types of emergent dynamics of behaviour-incidence systems: policy resistance, policy reinforcement, outcome inelasticity, and outcome variability. We discuss examples of each of these dynamics in the behaviour-incidence modelling literature, and suggest potential implications for vaccination policy.

Keywords: Vaccination Coverage; Policy Reinforcement; Vaccine Coverage; Herd Immunity; Paediatric Infectious Disease (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5474-8_15

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DOI: 10.1007/978-1-4614-5474-8_15

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