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Incorporating heterogeneity in farmer disease control behaviour into a livestock disease transmission model

Hill, Edward M.; Prosser, Naomi S.; Brown, Paul E; Ferguson, Eamonn; Green, Martin J.; Kaler, Jasmeet; Keeling, Matt J.; Tildesley, Michael J.

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Authors

Edward M. Hill

Paul E Brown

EAMONN FERGUSON eamonn.ferguson@nottingham.ac.uk
Professor of Health Psychology

MARTIN GREEN martin.green@nottingham.ac.uk
Professor of Cattle Health & Epidemiology

JASMEET KALER JASMEET.KALER@NOTTINGHAM.AC.UK
Professor of Epidemiology & Precision Livestock Informatics

Matt J. Keeling

Michael J. Tildesley



Abstract

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.

Journal Article Type Article
Acceptance Date Aug 29, 2023
Online Publication Date Sep 10, 2023
Publication Date 2023-10
Deposit Date Nov 15, 2023
Publicly Available Date Nov 16, 2023
Journal Preventive Veterinary Medicine
Print ISSN 0167-5877
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 219
Article Number 106019
DOI https://doi.org/10.1016/j.prevetmed.2023.106019
Keywords Livestock disease; Farmer behaviour; Graphical user interface; Infectious disease model; Psychosocial factors
Public URL https://nottingham-repository.worktribe.com/output/25343166

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