title: Agent-based modeling for real-time decision-support for point-of-distribution managers during influenza mass vaccination.
abstract: This project examines the use of an agent-based modeling tool and development environment to provide real-time decision support and resource allocation for managers and staff of point-of-distribution (POD) locations conducting mass vaccination for epidemic influenza. The simulation testing environment allows depicting the physical POD environment, staffing location and behaviors, patient flow, and resource monitoring and distribution. Various POD optimizations are analyzed and discussed in light of recent public health recommended layouts and resource deployment.
authors.affiliation: Public Health Informatician, Public Health Division, Northrop Grumman, Atlanta, GA, USA.
authors.forename: Jay V
authors.initials: JV
authors.lastname: Schindler
authors.forename: Tom
authors.initials: T
authors.lastname: Mraz
mesh_terms: D003198:Computer Simulation; D003199:Computer Systems; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D005845:Georgia; D006801:Humans; D007252:Influenza Vaccines / Q000627:therapeutic use*; D007251:Influenza, Human / Q000453:epidemiology* / Q000517:prevention & control*; D032541:Mass Vaccination / Q000458:organization & administration*; D008962:Models, Theoretical; D019095:Point-of-Care Systems / Q000458:organization & administration*
chemical_list: D007252:Influenza Vaccines