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Neural Posterior Estimation for Spatial Individual-Level Epidemic Models
Spatial individual-level models (ILMs) provide a flexible framework for modeling infectious disease transmission across populations with known locations. Bayesian inference for these models relies on Markov chain Monte Carlo (MCMC), which requires repeated likelihood evaluation and, when parts of th
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