Inferring the Contact Network Structure of Infectious Diseases: Applications of Likelihood-Free Inference for Epidemiological Agent-Based Modelling

NetSciX 2026 Conference Submission146 Authors

19 Sept 2025 (modified: 27 Sept 2025)NetSciX 2026 Conference SubmissionEveryoneRevisionsBibTeXCC BY 4.0
Keywords: Contact networks, Agent-based models, Epidemiology, Compartmental models, Likelihood-free inference
TL;DR: Our study introduces a flexible framework for integrating behavioral, spatial, and epidemiological data via the coupling of agent-based models with likelihood-free Bayesian inference and contact network analysis.
Submission Number: 146
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