Probabilistic program inference in network-based epidemiological simulations
Fig 2
Sampled infection trajectories after fitting parameters on synthetic data.
We generate simulated data on Los Angeles and Miami-Dade topologies using known disease parameters, and use this data for parameter inference. Generated disease trajectories use “high”, “high-low”, “high-low-high”, “low-high”, “low-high-low”, “low” patterns, where data is simulated with βE that varies temporally between “high” (βE = 0.45) and “low” (βE = 0.1) states.