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A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models

Fig 5

Identifying the calibration method with statistically dominant performance at 0.05 significance level for estimating model parameters and infection prevalence.

Red, if MSS is statistically better than all benchmark methods. White, if all methods fail to demonstrate statistically dominant performance. Blue if I.Poi (Benchmark A), Green if Particle Filter (Benchmark B) and Black if the Ensemble Kalman filter (Benchmark C) statistically outperform the MSS method. Multiple colors are displayed if more than one method is significantly better than MSS.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1005257.g005