Optimization of infectious disease surveillance and control


Systems for the control of infectious diseases provide essential data to guide disease prevention and monitoring policies, yet methods for optimising monitoring networks have been largely ignored. Decisions on surveillance design parameter—such as number and positioning of monitoring sites, target populations and case definitions—without formal analyses of the influence of design parameters on surveillance objectives are often determined by expert opinion, or by reference to operational considerations.


  • Surveillance design as a multi-objective
  • Dynamic optimization problem
  • DIOS framework for surveillance simulation and optimization
  • Specify and parameterize disease system model
  • Specify and parameterize surveillance model
  • Simulation optimization search

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