Journal
PREVENTIVE VETERINARY MEDICINE
Volume 219, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.prevetmed.2023.106019
Keywords
Livestock disease; Farmer behaviour; Graphical user interface; Infectious disease model; Psychosocial factors
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This study explores the impact of heterogeneity in farmers' vaccination behavior on disease outbreaks and economic outcomes by incorporating it into a mathematical model.
Human behaviour is critical to effective responses to livestock disease outbreaks, especially with respect to vaccination uptake. Traditionally, mathematical models used to inform this behaviour have not taken heterogeneity in farmer behaviour into account. We address this by exploring how heterogeneity in farmers vaccination behaviour can be incorporated to inform mathematical models. We developed and used a graphical user interface to elicit farmers (n = 60) vaccination decisions to an unfolding fast-spreading epidemic and linked this to their psychosocial and behavioural profiles. We identified, via cluster analysis, robust patterns of heterogeneity in vaccination behaviour. By incorporating these vaccination behavioural groupings into a mathematical model for a fast-spreading livestock infection, using computational simulation we explored how the inclusion of heterogeneity in farmer disease control behaviour may impact epidemiological and economic focused outcomes. When assuming homogeneity in farmer behaviour versus configurations informed by the psychosocial profile cluster estimates, the modelled scenarios revealed a disconnect in projected distributions and threshold statistics across outbreak size, outbreak duration and economic metrics.
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