title: Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study.
abstract: Government communication is an important management tool during a public health crisis, but understanding its impact is difficult. Strategies may be adjusted in reaction to developments on the ground and it is challenging to evaluate the impact of communication separately from other crisis management activities. Agent-based modeling is a well-established research tool in social science to respond to similar challenges. However, there have been few such models in public health. We use the example of the TELL ME agent-based model to consider ways in which a non-predictive policy model can assist policy makers. This model concerns individuals' protective behaviors in response to an epidemic, and the communication that influences such behavior. Drawing on findings from stakeholder workshops and the results of the model itself, we suggest such a model can be useful: (i) as a teaching tool, (ii) to test theory, and (iii) to inform data collection. We also plot a path for development of similar models that could assist with communication planning for epidemics.
authors.affiliation: a Centre for Research in Social Simulation, Department of Sociology , University of Surrey.
authors.forename: Peter
authors.initials: P
authors.lastname: Barbrook-Johnson
authors.affiliation: a Centre for Research in Social Simulation, Department of Sociology , University of Surrey.
authors.forename: Jennifer
authors.initials: J
authors.lastname: Badham
authors.affiliation: a Centre for Research in Social Simulation, Department of Sociology , University of Surrey.
authors.forename: Nigel
authors.initials: N
authors.lastname: Gilbert
mesh_terms: D004189:Disaster Planning / Q000458:organization & administration*; D058872:Epidemics; D058015:Health Communication / Q000379:methods*; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology / Q000517:prevention & control; D008962:Models, Theoretical; D011634:Public Health / Q000193:education*