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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.
Afiliación
  • Hill EM; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom. Electronic address: Edward.Hill@warwick.ac.uk.
  • Prosser NS; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.
  • Brown PE; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Ferguson E; School of Psychology, University Park, University of Nottingham, Nottingham, United Kingdom; National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, United Kingdom.
  • Green MJ; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.
  • Kaler J; School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.
  • Keeling MJ; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
  • Tildesley MJ; The Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, United Kingdom.
Prev Vet Med ; 219: 106019, 2023 Oct.
Article en En | MEDLINE | ID: mdl-37699310
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ganado / Agricultores Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Prev Vet Med Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ganado / Agricultores Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Prev Vet Med Año: 2023 Tipo del documento: Article Pais de publicación: Países Bajos