The DIOS framework for optimizing infectious disease surveillance: Numerical methods for simulation and multi-objective optimization of surveillance network architectures
Fig 2
Simulated data used for surveillance system optimization.
Spatial variation of (A) the risk factor X and (B) log prevalence when ρ = 0.1 and (C) ρ = 0.3. Triangles represent the existing 30 surveyed sites; dots represent the 70 candidate sites; crosses represent two point sources of the risk factor of interest (e.g. locations of mass gatherings); background color in Panel A and contour lines in panels B and C represent the levels of risk factor X. Three realizations of the log prevalence surface when ρ = 0.1 or 0.3 are shown in S1 Fig.